Upload tokenizer
Browse files- README.md +199 -0
- config.json +151 -0
- configuration_emova_speech_tokenizer.py +111 -0
- model.safetensors +3 -0
- modeling_emova_speech_tokenizer.py +78 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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config.json
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{
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"_name_or_path": "hf/",
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"architectures": [
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"EMOVASpeechTokenizer"
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],
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"auto_map": {
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"AutoConfig": [
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"configuration_emova_speech_tokenizer.EMOVASpeechTokenizerConfig",
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null
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],
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"AutoModel": [
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"modeling_emova_speech_tokenizer.EMOVASpeechTokenizer",
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null
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]
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},
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"model_type": "EMOVASpeechTokenizer",
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"s2u_unit_type": "40ms_multilingual_8888",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"u2s_dim_styles": 256,
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"u2s_num_styles": 126,
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"u2s_style2idx": {
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"gender-female_emotion-angry_speed-fast_pitch-high": 0,
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"gender-female_emotion-angry_speed-fast_pitch-low": 1,
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"gender-female_emotion-angry_speed-fast_pitch-normal": 2,
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"gender-female_emotion-angry_speed-normal_pitch-high": 3,
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"gender-female_emotion-angry_speed-normal_pitch-low": 4,
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"gender-female_emotion-angry_speed-normal_pitch-normal": 5,
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"gender-female_emotion-angry_speed-slow_pitch-high": 6,
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"gender-female_emotion-angry_speed-slow_pitch-low": 7,
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"gender-female_emotion-angry_speed-slow_pitch-normal": 8,
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"gender-female_emotion-disgusted_speed-fast_pitch-high": 9,
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"gender-female_emotion-disgusted_speed-fast_pitch-low": 10,
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"gender-female_emotion-disgusted_speed-fast_pitch-normal": 11,
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"gender-female_emotion-disgusted_speed-normal_pitch-high": 12,
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"gender-female_emotion-disgusted_speed-normal_pitch-low": 13,
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"gender-female_emotion-disgusted_speed-normal_pitch-normal": 14,
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"gender-female_emotion-disgusted_speed-slow_pitch-high": 15,
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"gender-female_emotion-disgusted_speed-slow_pitch-low": 16,
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"gender-female_emotion-disgusted_speed-slow_pitch-normal": 17,
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"gender-female_emotion-fearful_speed-fast_pitch-high": 18,
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"gender-female_emotion-fearful_speed-fast_pitch-low": 19,
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"gender-female_emotion-fearful_speed-fast_pitch-normal": 20,
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"gender-female_emotion-fearful_speed-normal_pitch-high": 21,
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"gender-female_emotion-fearful_speed-normal_pitch-low": 22,
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"gender-female_emotion-fearful_speed-normal_pitch-normal": 23,
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"gender-female_emotion-fearful_speed-slow_pitch-high": 24,
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"gender-female_emotion-fearful_speed-slow_pitch-low": 25,
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"gender-female_emotion-fearful_speed-slow_pitch-normal": 26,
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"gender-female_emotion-happy_speed-fast_pitch-high": 27,
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"gender-female_emotion-happy_speed-fast_pitch-low": 28,
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"gender-female_emotion-happy_speed-fast_pitch-normal": 29,
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"gender-female_emotion-happy_speed-normal_pitch-high": 30,
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"gender-female_emotion-happy_speed-normal_pitch-low": 31,
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"gender-female_emotion-happy_speed-normal_pitch-normal": 32,
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"gender-female_emotion-happy_speed-slow_pitch-high": 33,
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"gender-female_emotion-happy_speed-slow_pitch-low": 34,
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"gender-female_emotion-happy_speed-slow_pitch-normal": 35,
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"gender-female_emotion-neutral_speed-fast_pitch-high": 36,
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"gender-female_emotion-neutral_speed-fast_pitch-low": 37,
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"gender-female_emotion-neutral_speed-fast_pitch-normal": 38,
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"gender-female_emotion-neutral_speed-normal_pitch-high": 39,
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"gender-female_emotion-neutral_speed-normal_pitch-low": 40,
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"gender-female_emotion-neutral_speed-normal_pitch-normal": 41,
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"gender-female_emotion-neutral_speed-slow_pitch-high": 42,
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"gender-female_emotion-neutral_speed-slow_pitch-low": 43,
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"gender-female_emotion-neutral_speed-slow_pitch-normal": 44,
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"gender-female_emotion-sad_speed-fast_pitch-high": 45,
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"gender-female_emotion-sad_speed-fast_pitch-low": 46,
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"gender-female_emotion-sad_speed-fast_pitch-normal": 47,
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"gender-female_emotion-sad_speed-normal_pitch-high": 48,
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"gender-female_emotion-sad_speed-normal_pitch-low": 49,
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"gender-female_emotion-sad_speed-normal_pitch-normal": 50,
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"gender-female_emotion-sad_speed-slow_pitch-high": 51,
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"gender-female_emotion-sad_speed-slow_pitch-low": 52,
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"gender-female_emotion-sad_speed-slow_pitch-normal": 53,
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"gender-female_emotion-surprised_speed-fast_pitch-high": 54,
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"gender-female_emotion-surprised_speed-fast_pitch-low": 55,
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"gender-female_emotion-surprised_speed-fast_pitch-normal": 56,
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"gender-female_emotion-surprised_speed-normal_pitch-high": 57,
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"gender-female_emotion-surprised_speed-normal_pitch-low": 58,
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"gender-female_emotion-surprised_speed-normal_pitch-normal": 59,
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"gender-female_emotion-surprised_speed-slow_pitch-high": 60,
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"gender-female_emotion-surprised_speed-slow_pitch-low": 61,
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"gender-female_emotion-surprised_speed-slow_pitch-normal": 62,
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"gender-male_emotion-angry_speed-fast_pitch-high": 63,
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"gender-male_emotion-angry_speed-fast_pitch-low": 64,
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"gender-male_emotion-angry_speed-fast_pitch-normal": 65,
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89 |
+
"gender-male_emotion-angry_speed-normal_pitch-high": 66,
|
90 |
+
"gender-male_emotion-angry_speed-normal_pitch-low": 67,
|
91 |
+
"gender-male_emotion-angry_speed-normal_pitch-normal": 68,
|
92 |
+
"gender-male_emotion-angry_speed-slow_pitch-high": 69,
|
93 |
+
"gender-male_emotion-angry_speed-slow_pitch-low": 70,
|
94 |
+
"gender-male_emotion-angry_speed-slow_pitch-normal": 71,
|
95 |
+
"gender-male_emotion-disgusted_speed-fast_pitch-high": 72,
|
96 |
+
"gender-male_emotion-disgusted_speed-fast_pitch-low": 73,
|
97 |
+
"gender-male_emotion-disgusted_speed-fast_pitch-normal": 74,
|
98 |
+
"gender-male_emotion-disgusted_speed-normal_pitch-high": 75,
|
99 |
+
"gender-male_emotion-disgusted_speed-normal_pitch-low": 76,
|
100 |
+
"gender-male_emotion-disgusted_speed-normal_pitch-normal": 77,
|
101 |
+
"gender-male_emotion-disgusted_speed-slow_pitch-high": 78,
|
102 |
+
"gender-male_emotion-disgusted_speed-slow_pitch-low": 79,
|
103 |
+
"gender-male_emotion-disgusted_speed-slow_pitch-normal": 80,
|
104 |
+
"gender-male_emotion-fearful_speed-fast_pitch-high": 81,
|
105 |
+
"gender-male_emotion-fearful_speed-fast_pitch-low": 82,
|
106 |
+
"gender-male_emotion-fearful_speed-fast_pitch-normal": 83,
|
107 |
+
"gender-male_emotion-fearful_speed-normal_pitch-high": 84,
|
108 |
+
"gender-male_emotion-fearful_speed-normal_pitch-low": 85,
|
109 |
+
"gender-male_emotion-fearful_speed-normal_pitch-normal": 86,
|
110 |
+
"gender-male_emotion-fearful_speed-slow_pitch-high": 87,
|
111 |
+
"gender-male_emotion-fearful_speed-slow_pitch-low": 88,
|
112 |
+
"gender-male_emotion-fearful_speed-slow_pitch-normal": 89,
|
113 |
+
"gender-male_emotion-happy_speed-fast_pitch-high": 90,
|
114 |
+
"gender-male_emotion-happy_speed-fast_pitch-low": 91,
|
115 |
+
"gender-male_emotion-happy_speed-fast_pitch-normal": 92,
|
116 |
+
"gender-male_emotion-happy_speed-normal_pitch-high": 93,
|
117 |
+
"gender-male_emotion-happy_speed-normal_pitch-low": 94,
|
118 |
+
"gender-male_emotion-happy_speed-normal_pitch-normal": 95,
|
119 |
+
"gender-male_emotion-happy_speed-slow_pitch-high": 96,
|
120 |
+
"gender-male_emotion-happy_speed-slow_pitch-low": 97,
|
121 |
+
"gender-male_emotion-happy_speed-slow_pitch-normal": 98,
|
122 |
+
"gender-male_emotion-neutral_speed-fast_pitch-high": 99,
|
123 |
+
"gender-male_emotion-neutral_speed-fast_pitch-low": 100,
|
124 |
+
"gender-male_emotion-neutral_speed-fast_pitch-normal": 101,
|
125 |
+
"gender-male_emotion-neutral_speed-normal_pitch-high": 102,
|
126 |
+
"gender-male_emotion-neutral_speed-normal_pitch-low": 103,
|
127 |
+
"gender-male_emotion-neutral_speed-normal_pitch-normal": 104,
|
128 |
+
"gender-male_emotion-neutral_speed-slow_pitch-high": 105,
|
129 |
+
"gender-male_emotion-neutral_speed-slow_pitch-low": 106,
|
130 |
+
"gender-male_emotion-neutral_speed-slow_pitch-normal": 107,
|
131 |
+
"gender-male_emotion-sad_speed-fast_pitch-high": 108,
|
132 |
+
"gender-male_emotion-sad_speed-fast_pitch-low": 109,
|
133 |
+
"gender-male_emotion-sad_speed-fast_pitch-normal": 110,
|
134 |
+
"gender-male_emotion-sad_speed-normal_pitch-high": 111,
|
135 |
+
"gender-male_emotion-sad_speed-normal_pitch-low": 112,
|
136 |
+
"gender-male_emotion-sad_speed-normal_pitch-normal": 113,
|
137 |
+
"gender-male_emotion-sad_speed-slow_pitch-high": 114,
|
138 |
+
"gender-male_emotion-sad_speed-slow_pitch-low": 115,
|
139 |
+
"gender-male_emotion-sad_speed-slow_pitch-normal": 116,
|
140 |
+
"gender-male_emotion-surprised_speed-fast_pitch-high": 117,
|
141 |
+
"gender-male_emotion-surprised_speed-fast_pitch-low": 118,
|
142 |
+
"gender-male_emotion-surprised_speed-fast_pitch-normal": 119,
|
143 |
+
"gender-male_emotion-surprised_speed-normal_pitch-high": 120,
|
144 |
+
"gender-male_emotion-surprised_speed-normal_pitch-low": 121,
|
145 |
+
"gender-male_emotion-surprised_speed-normal_pitch-normal": 122,
|
146 |
+
"gender-male_emotion-surprised_speed-slow_pitch-high": 123,
|
147 |
+
"gender-male_emotion-surprised_speed-slow_pitch-low": 124,
|
148 |
+
"gender-male_emotion-surprised_speed-slow_pitch-normal": 125
|
149 |
+
},
|
150 |
+
"u2s_unit_type": "40ms_multilingual_8888_xujing_cosyvoice_FT"
|
151 |
+
}
|
configuration_emova_speech_tokenizer.py
ADDED
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# coding=utf-8
|
2 |
+
# Copyright 2024 The EMOVA team and The HuggingFace Inc. team. All rights reserved.
|
3 |
+
#
|
4 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
5 |
+
# you may not use this file except in compliance with the License.
|
6 |
+
# You may obtain a copy of the License at
|
7 |
+
#
|
8 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
9 |
+
#
|
10 |
+
# Unless required by applicable law or agreed to in writing, software
|
11 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
12 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
13 |
+
# See the License for the specific language governing permissions and
|
14 |
+
# limitations under the License.
|
15 |
+
""" EMOVASpeechTokenizer model configuration """
|
16 |
+
|
17 |
+
import copy
|
18 |
+
from typing import List
|
19 |
+
|
20 |
+
from transformers.configuration_utils import PretrainedConfig
|
21 |
+
from transformers.utils import logging
|
22 |
+
|
23 |
+
logger = logging.get_logger(__name__)
|
24 |
+
|
25 |
+
U2S_STYLES = [
|
26 |
+
'gender-female_emotion-angry_speed-fast_pitch-high', 'gender-female_emotion-angry_speed-fast_pitch-low', 'gender-female_emotion-angry_speed-fast_pitch-normal',
|
27 |
+
'gender-female_emotion-angry_speed-normal_pitch-high', 'gender-female_emotion-angry_speed-normal_pitch-low', 'gender-female_emotion-angry_speed-normal_pitch-normal',
|
28 |
+
'gender-female_emotion-angry_speed-slow_pitch-high', 'gender-female_emotion-angry_speed-slow_pitch-low', 'gender-female_emotion-angry_speed-slow_pitch-normal',
|
29 |
+
'gender-female_emotion-disgusted_speed-fast_pitch-high', 'gender-female_emotion-disgusted_speed-fast_pitch-low', 'gender-female_emotion-disgusted_speed-fast_pitch-normal',
|
30 |
+
'gender-female_emotion-disgusted_speed-normal_pitch-high', 'gender-female_emotion-disgusted_speed-normal_pitch-low', 'gender-female_emotion-disgusted_speed-normal_pitch-normal',
|
31 |
+
'gender-female_emotion-disgusted_speed-slow_pitch-high', 'gender-female_emotion-disgusted_speed-slow_pitch-low', 'gender-female_emotion-disgusted_speed-slow_pitch-normal',
|
32 |
+
'gender-female_emotion-fearful_speed-fast_pitch-high', 'gender-female_emotion-fearful_speed-fast_pitch-low', 'gender-female_emotion-fearful_speed-fast_pitch-normal',
|
33 |
+
'gender-female_emotion-fearful_speed-normal_pitch-high', 'gender-female_emotion-fearful_speed-normal_pitch-low', 'gender-female_emotion-fearful_speed-normal_pitch-normal',
|
34 |
+
'gender-female_emotion-fearful_speed-slow_pitch-high', 'gender-female_emotion-fearful_speed-slow_pitch-low', 'gender-female_emotion-fearful_speed-slow_pitch-normal',
|
35 |
+
'gender-female_emotion-happy_speed-fast_pitch-high', 'gender-female_emotion-happy_speed-fast_pitch-low', 'gender-female_emotion-happy_speed-fast_pitch-normal',
|
36 |
+
'gender-female_emotion-happy_speed-normal_pitch-high', 'gender-female_emotion-happy_speed-normal_pitch-low', 'gender-female_emotion-happy_speed-normal_pitch-normal',
|
37 |
+
'gender-female_emotion-happy_speed-slow_pitch-high', 'gender-female_emotion-happy_speed-slow_pitch-low', 'gender-female_emotion-happy_speed-slow_pitch-normal',
|
38 |
+
'gender-female_emotion-neutral_speed-fast_pitch-high', 'gender-female_emotion-neutral_speed-fast_pitch-low', 'gender-female_emotion-neutral_speed-fast_pitch-normal',
|
39 |
+
'gender-female_emotion-neutral_speed-normal_pitch-high', 'gender-female_emotion-neutral_speed-normal_pitch-low', 'gender-female_emotion-neutral_speed-normal_pitch-normal',
|
40 |
+
'gender-female_emotion-neutral_speed-slow_pitch-high', 'gender-female_emotion-neutral_speed-slow_pitch-low', 'gender-female_emotion-neutral_speed-slow_pitch-normal',
|
41 |
+
'gender-female_emotion-sad_speed-fast_pitch-high', 'gender-female_emotion-sad_speed-fast_pitch-low', 'gender-female_emotion-sad_speed-fast_pitch-normal',
|
42 |
+
'gender-female_emotion-sad_speed-normal_pitch-high', 'gender-female_emotion-sad_speed-normal_pitch-low', 'gender-female_emotion-sad_speed-normal_pitch-normal',
|
43 |
+
'gender-female_emotion-sad_speed-slow_pitch-high', 'gender-female_emotion-sad_speed-slow_pitch-low', 'gender-female_emotion-sad_speed-slow_pitch-normal',
|
44 |
+
'gender-female_emotion-surprised_speed-fast_pitch-high', 'gender-female_emotion-surprised_speed-fast_pitch-low', 'gender-female_emotion-surprised_speed-fast_pitch-normal',
|
45 |
+
'gender-female_emotion-surprised_speed-normal_pitch-high', 'gender-female_emotion-surprised_speed-normal_pitch-low', 'gender-female_emotion-surprised_speed-normal_pitch-normal',
|
46 |
+
'gender-female_emotion-surprised_speed-slow_pitch-high', 'gender-female_emotion-surprised_speed-slow_pitch-low', 'gender-female_emotion-surprised_speed-slow_pitch-normal',
|
47 |
+
'gender-male_emotion-angry_speed-fast_pitch-high', 'gender-male_emotion-angry_speed-fast_pitch-low', 'gender-male_emotion-angry_speed-fast_pitch-normal',
|
48 |
+
'gender-male_emotion-angry_speed-normal_pitch-high', 'gender-male_emotion-angry_speed-normal_pitch-low', 'gender-male_emotion-angry_speed-normal_pitch-normal',
|
49 |
+
'gender-male_emotion-angry_speed-slow_pitch-high', 'gender-male_emotion-angry_speed-slow_pitch-low', 'gender-male_emotion-angry_speed-slow_pitch-normal',
|
50 |
+
'gender-male_emotion-disgusted_speed-fast_pitch-high', 'gender-male_emotion-disgusted_speed-fast_pitch-low', 'gender-male_emotion-disgusted_speed-fast_pitch-normal',
|
51 |
+
'gender-male_emotion-disgusted_speed-normal_pitch-high', 'gender-male_emotion-disgusted_speed-normal_pitch-low', 'gender-male_emotion-disgusted_speed-normal_pitch-normal',
|
52 |
+
'gender-male_emotion-disgusted_speed-slow_pitch-high', 'gender-male_emotion-disgusted_speed-slow_pitch-low', 'gender-male_emotion-disgusted_speed-slow_pitch-normal',
|
53 |
+
'gender-male_emotion-fearful_speed-fast_pitch-high', 'gender-male_emotion-fearful_speed-fast_pitch-low', 'gender-male_emotion-fearful_speed-fast_pitch-normal',
|
54 |
+
'gender-male_emotion-fearful_speed-normal_pitch-high', 'gender-male_emotion-fearful_speed-normal_pitch-low', 'gender-male_emotion-fearful_speed-normal_pitch-normal',
|
55 |
+
'gender-male_emotion-fearful_speed-slow_pitch-high', 'gender-male_emotion-fearful_speed-slow_pitch-low', 'gender-male_emotion-fearful_speed-slow_pitch-normal',
|
56 |
+
'gender-male_emotion-happy_speed-fast_pitch-high', 'gender-male_emotion-happy_speed-fast_pitch-low', 'gender-male_emotion-happy_speed-fast_pitch-normal',
|
57 |
+
'gender-male_emotion-happy_speed-normal_pitch-high', 'gender-male_emotion-happy_speed-normal_pitch-low', 'gender-male_emotion-happy_speed-normal_pitch-normal',
|
58 |
+
'gender-male_emotion-happy_speed-slow_pitch-high', 'gender-male_emotion-happy_speed-slow_pitch-low', 'gender-male_emotion-happy_speed-slow_pitch-normal',
|
59 |
+
'gender-male_emotion-neutral_speed-fast_pitch-high', 'gender-male_emotion-neutral_speed-fast_pitch-low', 'gender-male_emotion-neutral_speed-fast_pitch-normal',
|
60 |
+
'gender-male_emotion-neutral_speed-normal_pitch-high', 'gender-male_emotion-neutral_speed-normal_pitch-low', 'gender-male_emotion-neutral_speed-normal_pitch-normal',
|
61 |
+
'gender-male_emotion-neutral_speed-slow_pitch-high', 'gender-male_emotion-neutral_speed-slow_pitch-low', 'gender-male_emotion-neutral_speed-slow_pitch-normal',
|
62 |
+
'gender-male_emotion-sad_speed-fast_pitch-high', 'gender-male_emotion-sad_speed-fast_pitch-low', 'gender-male_emotion-sad_speed-fast_pitch-normal',
|
63 |
+
'gender-male_emotion-sad_speed-normal_pitch-high', 'gender-male_emotion-sad_speed-normal_pitch-low', 'gender-male_emotion-sad_speed-normal_pitch-normal',
|
64 |
+
'gender-male_emotion-sad_speed-slow_pitch-high', 'gender-male_emotion-sad_speed-slow_pitch-low', 'gender-male_emotion-sad_speed-slow_pitch-normal',
|
65 |
+
'gender-male_emotion-surprised_speed-fast_pitch-high', 'gender-male_emotion-surprised_speed-fast_pitch-low', 'gender-male_emotion-surprised_speed-fast_pitch-normal',
|
66 |
+
'gender-male_emotion-surprised_speed-normal_pitch-high', 'gender-male_emotion-surprised_speed-normal_pitch-low', 'gender-male_emotion-surprised_speed-normal_pitch-normal',
|
67 |
+
'gender-male_emotion-surprised_speed-slow_pitch-high', 'gender-male_emotion-surprised_speed-slow_pitch-low', 'gender-male_emotion-surprised_speed-slow_pitch-normal'
|
68 |
+
]
|
69 |
+
|
70 |
+
class EMOVASpeechTokenizerConfig(PretrainedConfig):
|
71 |
+
r"""
|
72 |
+
This is the configuration class to store the configuration of a [`EMOVASpeechTokenizer`]. It is used to instantiate
|
73 |
+
a EMOVASpeechTokenizer model especially designed for training the EMOVA (https://arxiv.org/abs/2409.18042)
|
74 |
+
model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
|
75 |
+
defaults will yield a configuration to the speech tokenizer model presented in EMOVA paper.
|
76 |
+
Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
|
77 |
+
documentation from [`PretrainedConfig`] for more information.
|
78 |
+
Args:
|
79 |
+
s2u_unit_type (`str`, defaults to `40ms_multilingual_8888`):
|
80 |
+
Unit type to specify model configurations for the speech-to-unit (S2U) encoder. Detailed configs will be found accordingly.
|
81 |
+
u2s_unit_type (`str`, defaults to `40ms_multilingual_8888_xujing_cosyvoice_FT`):
|
82 |
+
Unit type to specify model configurations for the unit-to-speech (U2S) decoder. Detailed configs will be found accordingly.
|
83 |
+
u2s_num_styles, u2s_dim_styles (`int`, defaults to 126 and 256):
|
84 |
+
Size of the style embedding matrix.
|
85 |
+
```python
|
86 |
+
>>> from transformers import EMOVASpeechTokenizerConfig, EMOVASpeechTokenizer
|
87 |
+
>>> # Initializing a EMOVA speech tokenizer configuration
|
88 |
+
>>> configuration = EMOVASpeechTokenizerConfig()
|
89 |
+
>>> # Initializing a model from the EMOVA speech tokenizer configuration
|
90 |
+
>>> model = EMOVASpeechTokenizer(configuration)
|
91 |
+
>>> # Accessing the model configuration
|
92 |
+
>>> configuration = model.config
|
93 |
+
```"""
|
94 |
+
|
95 |
+
model_type = "EMOVASpeechTokenizer"
|
96 |
+
|
97 |
+
def __init__(
|
98 |
+
self,
|
99 |
+
s2u_unit_type="40ms_multilingual_8888",
|
100 |
+
u2s_unit_type="40ms_multilingual_8888_xujing_cosyvoice_FT",
|
101 |
+
u2s_num_styles=126,
|
102 |
+
u2s_dim_styles=256,
|
103 |
+
**kwargs,
|
104 |
+
):
|
105 |
+
super().__init__(**kwargs)
|
106 |
+
|
107 |
+
self.s2u_unit_type = s2u_unit_type
|
108 |
+
self.u2s_unit_type = u2s_unit_type
|
109 |
+
self.u2s_num_styles = u2s_num_styles
|
110 |
+
self.u2s_dim_styles = u2s_dim_styles
|
111 |
+
self.u2s_style2idx = {each:i for i, each in enumerate(U2S_STYLES)}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0f01ab4b6cbe65d477f5d57e704f1324104f5437b1517c8938a194be2d98a7a6
|
3 |
+
size 546644908
|
modeling_emova_speech_tokenizer.py
ADDED
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
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|
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|
|
|
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|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# coding=utf-8
|
2 |
+
# Copyright 2024 The EMOVA team and The HuggingFace Inc. team. All rights reserved.
|
3 |
+
#
|
4 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
5 |
+
# you may not use this file except in compliance with the License.
|
6 |
+
# You may obtain a copy of the License at
|
7 |
+
#
|
8 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
9 |
+
#
|
10 |
+
# Unless required by applicable law or agreed to in writing, software
|
11 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
12 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
13 |
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" EMOVASpeechTokenizer model """
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import math
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from typing import Optional, Tuple, Union
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+
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import torch
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import torch.nn as nn
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from transformers.modeling_utils import PreTrainedModel
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try:
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from emova_speech_tokenizer.speech_utils import get_S2U_ckpt_config_path, load_config, VQCTCFinetuneModel, s2u_extract_unit_demo
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from emova_speech_tokenizer.speech_utils import get_U2S_config_checkpoint_file, load_U2S_config, SynthesizerTrn, synthesis
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except:
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raise ImportError('Dependencies of emova speech tokenizer are not installed properly. Check https://huggingface.co/Emova-ollm/emova_speech_tokenizer#install for detailed instructions.')
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+
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from .configuration_emova_speech_tokenizer import EMOVASpeechTokenizerConfig
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class EMOVASpeechTokenizer(PreTrainedModel):
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config_class = EMOVASpeechTokenizerConfig
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base_model_prefix = "emova_speech_tokenizer"
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def __init__(self, config: EMOVASpeechTokenizerConfig):
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super().__init__(config)
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self.config = config
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+
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# s2u encoder configs
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_, S2U_config_path = get_S2U_ckpt_config_path(config.s2u_unit_type)
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s2u_cfg = load_config(config=S2U_config_path)
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s2u_cfg.model.pretrain_chkpt_path = None
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+
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# u2s decoder configs
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U2S_config_file, _ = get_U2S_config_checkpoint_file(config.u2s_unit_type)
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u2s_cfg = load_U2S_config(U2S_config_file)
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+
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# construct models
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self.s2u_config = s2u_cfg.model
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self.u2s_config = u2s_cfg
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self.encoder = VQCTCFinetuneModel(s2u_cfg.model, trainer=None)
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self.decoder = SynthesizerTrn(
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u2s_cfg.num_symbols,
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u2s_cfg.data.filter_length // 2 + 1,
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u2s_cfg.train.segment_size // u2s_cfg.data.hop_length,
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n_speakers=u2s_cfg.data.n_speakers,
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**u2s_cfg.model
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)
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self.style_embedding = nn.Embedding(config.u2s_num_styles, config.u2s_dim_styles)
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+
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@property
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def device(self):
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return next(self.encoder.parameters()).device
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+
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@property
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def dtype(self):
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return next(self.encoder.parameters()).dtype
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+
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def encode(self, wav_file):
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speech_unit = s2u_extract_unit_demo(self.encoder, wav_file, model_name='SPIRAL-FSQ-CTC', reduced=True)
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return speech_unit
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+
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def decode(self, speech_unit, condition=None, output_wav_file='output.wav'):
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content_unit = speech_unit.replace('<|speech_', '').replace('|>', ' ').strip()
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style_centroid_embedding = self.style_embedding(torch.LongTensor([self.config.u2s_style2idx[condition]]).to(self.device)).unsqueeze(-1) if condition else None
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audio = synthesis(content_unit, style_centroid_embedding, self.u2s_config, self.decoder, output_wav_file)
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return audio
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