Hugging Face's logo

Emova-ollm
/
emova_speech_tokenizer_hf

Feature Extraction
Transformers
Safetensors
English
Chinese
EMOVASpeechTokenizer
speech
tokenization
custom_code
Model card Files Community
emova_speech_tokenizer_hf
File size: 10,206 Bytes 
02e65c1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
 
# coding=utf-8
# Copyright 2024 The EMOVA team and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" EMOVASpeechTokenizer model configuration """

import copy
from typing import List

from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging

logger = logging.get_logger(__name__)

U2S_STYLES = [
    'gender-female_emotion-angry_speed-fast_pitch-high', 'gender-female_emotion-angry_speed-fast_pitch-low', 'gender-female_emotion-angry_speed-fast_pitch-normal', 
    'gender-female_emotion-angry_speed-normal_pitch-high', 'gender-female_emotion-angry_speed-normal_pitch-low', 'gender-female_emotion-angry_speed-normal_pitch-normal', 
    'gender-female_emotion-angry_speed-slow_pitch-high', 'gender-female_emotion-angry_speed-slow_pitch-low', 'gender-female_emotion-angry_speed-slow_pitch-normal', 
    'gender-female_emotion-disgusted_speed-fast_pitch-high', 'gender-female_emotion-disgusted_speed-fast_pitch-low', 'gender-female_emotion-disgusted_speed-fast_pitch-normal', 
    'gender-female_emotion-disgusted_speed-normal_pitch-high', 'gender-female_emotion-disgusted_speed-normal_pitch-low', 'gender-female_emotion-disgusted_speed-normal_pitch-normal', 
    'gender-female_emotion-disgusted_speed-slow_pitch-high', 'gender-female_emotion-disgusted_speed-slow_pitch-low', 'gender-female_emotion-disgusted_speed-slow_pitch-normal', 
    'gender-female_emotion-fearful_speed-fast_pitch-high', 'gender-female_emotion-fearful_speed-fast_pitch-low', 'gender-female_emotion-fearful_speed-fast_pitch-normal', 
    'gender-female_emotion-fearful_speed-normal_pitch-high', 'gender-female_emotion-fearful_speed-normal_pitch-low', 'gender-female_emotion-fearful_speed-normal_pitch-normal', 
    'gender-female_emotion-fearful_speed-slow_pitch-high', 'gender-female_emotion-fearful_speed-slow_pitch-low', 'gender-female_emotion-fearful_speed-slow_pitch-normal', 
    'gender-female_emotion-happy_speed-fast_pitch-high', 'gender-female_emotion-happy_speed-fast_pitch-low', 'gender-female_emotion-happy_speed-fast_pitch-normal', 
    'gender-female_emotion-happy_speed-normal_pitch-high', 'gender-female_emotion-happy_speed-normal_pitch-low', 'gender-female_emotion-happy_speed-normal_pitch-normal', 
    'gender-female_emotion-happy_speed-slow_pitch-high', 'gender-female_emotion-happy_speed-slow_pitch-low', 'gender-female_emotion-happy_speed-slow_pitch-normal', 
    'gender-female_emotion-neutral_speed-fast_pitch-high', 'gender-female_emotion-neutral_speed-fast_pitch-low', 'gender-female_emotion-neutral_speed-fast_pitch-normal', 
    'gender-female_emotion-neutral_speed-normal_pitch-high', 'gender-female_emotion-neutral_speed-normal_pitch-low', 'gender-female_emotion-neutral_speed-normal_pitch-normal', 
    'gender-female_emotion-neutral_speed-slow_pitch-high', 'gender-female_emotion-neutral_speed-slow_pitch-low', 'gender-female_emotion-neutral_speed-slow_pitch-normal', 
    'gender-female_emotion-sad_speed-fast_pitch-high', 'gender-female_emotion-sad_speed-fast_pitch-low', 'gender-female_emotion-sad_speed-fast_pitch-normal', 
    'gender-female_emotion-sad_speed-normal_pitch-high', 'gender-female_emotion-sad_speed-normal_pitch-low', 'gender-female_emotion-sad_speed-normal_pitch-normal', 
    'gender-female_emotion-sad_speed-slow_pitch-high', 'gender-female_emotion-sad_speed-slow_pitch-low', 'gender-female_emotion-sad_speed-slow_pitch-normal', 
    'gender-female_emotion-surprised_speed-fast_pitch-high', 'gender-female_emotion-surprised_speed-fast_pitch-low', 'gender-female_emotion-surprised_speed-fast_pitch-normal', 
    'gender-female_emotion-surprised_speed-normal_pitch-high', 'gender-female_emotion-surprised_speed-normal_pitch-low', 'gender-female_emotion-surprised_speed-normal_pitch-normal', 
    'gender-female_emotion-surprised_speed-slow_pitch-high', 'gender-female_emotion-surprised_speed-slow_pitch-low', 'gender-female_emotion-surprised_speed-slow_pitch-normal', 
    'gender-male_emotion-angry_speed-fast_pitch-high', 'gender-male_emotion-angry_speed-fast_pitch-low', 'gender-male_emotion-angry_speed-fast_pitch-normal', 
    'gender-male_emotion-angry_speed-normal_pitch-high', 'gender-male_emotion-angry_speed-normal_pitch-low', 'gender-male_emotion-angry_speed-normal_pitch-normal', 
    'gender-male_emotion-angry_speed-slow_pitch-high', 'gender-male_emotion-angry_speed-slow_pitch-low', 'gender-male_emotion-angry_speed-slow_pitch-normal', 
    'gender-male_emotion-disgusted_speed-fast_pitch-high', 'gender-male_emotion-disgusted_speed-fast_pitch-low', 'gender-male_emotion-disgusted_speed-fast_pitch-normal', 
    'gender-male_emotion-disgusted_speed-normal_pitch-high', 'gender-male_emotion-disgusted_speed-normal_pitch-low', 'gender-male_emotion-disgusted_speed-normal_pitch-normal', 
    'gender-male_emotion-disgusted_speed-slow_pitch-high', 'gender-male_emotion-disgusted_speed-slow_pitch-low', 'gender-male_emotion-disgusted_speed-slow_pitch-normal', 
    'gender-male_emotion-fearful_speed-fast_pitch-high', 'gender-male_emotion-fearful_speed-fast_pitch-low', 'gender-male_emotion-fearful_speed-fast_pitch-normal', 
    'gender-male_emotion-fearful_speed-normal_pitch-high', 'gender-male_emotion-fearful_speed-normal_pitch-low', 'gender-male_emotion-fearful_speed-normal_pitch-normal', 
    'gender-male_emotion-fearful_speed-slow_pitch-high', 'gender-male_emotion-fearful_speed-slow_pitch-low', 'gender-male_emotion-fearful_speed-slow_pitch-normal', 
    'gender-male_emotion-happy_speed-fast_pitch-high', 'gender-male_emotion-happy_speed-fast_pitch-low', 'gender-male_emotion-happy_speed-fast_pitch-normal', 
    'gender-male_emotion-happy_speed-normal_pitch-high', 'gender-male_emotion-happy_speed-normal_pitch-low', 'gender-male_emotion-happy_speed-normal_pitch-normal', 
    'gender-male_emotion-happy_speed-slow_pitch-high', 'gender-male_emotion-happy_speed-slow_pitch-low', 'gender-male_emotion-happy_speed-slow_pitch-normal', 
    'gender-male_emotion-neutral_speed-fast_pitch-high', 'gender-male_emotion-neutral_speed-fast_pitch-low', 'gender-male_emotion-neutral_speed-fast_pitch-normal', 
    'gender-male_emotion-neutral_speed-normal_pitch-high', 'gender-male_emotion-neutral_speed-normal_pitch-low', 'gender-male_emotion-neutral_speed-normal_pitch-normal', 
    'gender-male_emotion-neutral_speed-slow_pitch-high', 'gender-male_emotion-neutral_speed-slow_pitch-low', 'gender-male_emotion-neutral_speed-slow_pitch-normal', 
    'gender-male_emotion-sad_speed-fast_pitch-high', 'gender-male_emotion-sad_speed-fast_pitch-low', 'gender-male_emotion-sad_speed-fast_pitch-normal', 
    'gender-male_emotion-sad_speed-normal_pitch-high', 'gender-male_emotion-sad_speed-normal_pitch-low', 'gender-male_emotion-sad_speed-normal_pitch-normal', 
    'gender-male_emotion-sad_speed-slow_pitch-high', 'gender-male_emotion-sad_speed-slow_pitch-low', 'gender-male_emotion-sad_speed-slow_pitch-normal', 
    'gender-male_emotion-surprised_speed-fast_pitch-high', 'gender-male_emotion-surprised_speed-fast_pitch-low', 'gender-male_emotion-surprised_speed-fast_pitch-normal', 
    'gender-male_emotion-surprised_speed-normal_pitch-high', 'gender-male_emotion-surprised_speed-normal_pitch-low', 'gender-male_emotion-surprised_speed-normal_pitch-normal', 
    'gender-male_emotion-surprised_speed-slow_pitch-high', 'gender-male_emotion-surprised_speed-slow_pitch-low', 'gender-male_emotion-surprised_speed-slow_pitch-normal'
]

class EMOVASpeechTokenizerConfig(PretrainedConfig):
    r"""
    This is the configuration class to store the configuration of a [`EMOVASpeechTokenizer`]. It is used to instantiate 
    a EMOVASpeechTokenizer model especially designed for training the EMOVA (https://arxiv.org/abs/2409.18042) 
    model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
    defaults will yield a configuration to the speech tokenizer model presented in EMOVA paper.
    Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
    documentation from [`PretrainedConfig`] for more information.
    Args:
        s2u_unit_type (`str`, defaults to `40ms_multilingual_8888`):
            Unit type to specify model configurations for the speech-to-unit (S2U) encoder. Detailed configs will be found accordingly.
        u2s_unit_type (`str`, defaults to `40ms_multilingual_8888_xujing_cosyvoice_FT`):
            Unit type to specify model configurations for the unit-to-speech (U2S) decoder. Detailed configs will be found accordingly.
        u2s_num_styles, u2s_dim_styles (`int`, defaults to 126 and 256):
            Size of the style embedding matrix.
    ```python
    >>> from transformers import EMOVASpeechTokenizerConfig, EMOVASpeechTokenizer
    >>> # Initializing a EMOVA speech tokenizer configuration
    >>> configuration = EMOVASpeechTokenizerConfig()
    >>> # Initializing a model from the EMOVA speech tokenizer configuration
    >>> model = EMOVASpeechTokenizer(configuration)
    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```"""

    model_type = "EMOVASpeechTokenizer"

    def __init__(
        self,
        s2u_unit_type="40ms_multilingual_8888",
        u2s_unit_type="40ms_multilingual_8888_xujing_cosyvoice_FT",
        u2s_num_styles=126,
        u2s_dim_styles=256,
        **kwargs,
    ):
        super().__init__(**kwargs)
        
        self.s2u_unit_type = s2u_unit_type
        self.u2s_unit_type = u2s_unit_type
        self.u2s_num_styles = u2s_num_styles
        self.u2s_dim_styles = u2s_dim_styles
        self.u2s_style2idx = {each:i for i, each in enumerate(U2S_STYLES)}