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README.md

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 library_name: transformers.js
 base_model:
 - prithivMLmods/Common-Voice-Gender-Detection
+license: apache-2.0
+language:
+- en
+pipeline_tag: audio-classification
+tags:
+- Gender-Detection
 ---
 
 # Common-Voice-Gender-Detection (ONNX)
 
 This is an ONNX version of [prithivMLmods/Common-Voice-Gender-Detection](https://huggingface.co/prithivMLmods/Common-Voice-Gender-Detection). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
+
+
+> **Common-Voice-Gender-Detection** is a fine-tuned version of `facebook/wav2vec2-base-960h` for **binary audio classification**, specifically trained to detect speaker gender as **female** or **male**. This model leverages the `Wav2Vec2ForSequenceClassification` architecture for efficient and accurate voice-based gender classification.
+
+> [!note]
+Wav2Vec2: Self-Supervised Learning for Speech Recognition : [https://arxiv.org/pdf/2006.11477](https://arxiv.org/pdf/2006.11477)
+
+--- 
+
+## Intended Use
+
+`Common-Voice-Gender-Detection` is designed for:
+
+* **Speech Analytics** – Assist in analyzing speaker demographics in call centers or customer service recordings.
+* **Conversational AI Personalization** – Adjust tone or dialogue based on gender detection for more personalized voice assistants.
+* **Voice Dataset Curation** – Automatically tag or filter voice datasets by speaker gender for better dataset management.
+* **Research Applications** – Enable linguistic and acoustic research involving gender-specific speech patterns.
+* **Multimedia Content Tagging** – Automate metadata generation for gender identification in podcasts, interviews, or video content.