🗣️ Accent Identifier

This tool identifies the speaker's accent from a video or audio input. It supports uploads and URLs — including direct .mp4 links, Loom videos, and YouTube-style links — and uses a deep learning model from SpeechBrain for inference.

🚀 Demo

Try it out live on Hugging Face Spaces (replace with your actual link).

📦 Features

🎥 Accepts video/audio uploads (.mp4, .wav, .mp3)
🌐 Handles direct URLs (e.g. Loom, direct .mp4, YouTube)
🧠 Classifies accent using speechbrain pretrained model
📊 Returns top prediction and top-3 probabilities
⚡ Fast and easy UI built with Gradio

🧪 Example Inputs

https://www.loom.com/share/abc123
https://yourdomain.com/sample.mp4
Uploaded audio: voice_sample.wav

🛠️ Installation

git clone https://github.com/yourusername/accent-identifier.git
cd accent-identifier

# Create virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

# Install dependencies
pip install -r requirements.txt

requirements.txt

speechbrain
gradio
torchaudio
torch
ffmpeg-python
yt-dlp
requests

Make sure ffmpeg is installed and available in your system path. You can test with: ffmpeg -version

▶️ Run Locally

python app.py

This will launch a Gradio interface in your browser at http://localhost:7860.

🧠 Model Details

Model: Jzuluaga/accent-id-commonaccent_ecapa
Framework: SpeechBrain
Classes: US, UK, Australia, Canada, India, etc.

📂 Project Structure

accent-identifier/
├── app.py               # Main Gradio app
├── requirements.txt     # Dependencies
└── README.md            # You are here

🧩 Notes

Loom support relies on their internal API. It may break if they change the endpoint.
Audio is extracted to .wav using ffmpeg with 16kHz mono format for model compatibility.

title: Accent Detector emoji: 🏢 colorFrom: blue colorTo: blue sdk: gradio sdk_version: 5.31.0 app_file: app.py pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference