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README.md

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 # Common-Voice-Gender-Detection
 
 > **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.
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 * **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.
+* **Multimedia Content Tagging** – Automate metadata generation for gender identification in podcasts, interviews, or video content.