---
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.