snoozypanda/Speech-To-Text

his repository contains an Automatic Speech Recognition (ASR) system for Amharic built by fine-tuning Facebook’s Wav2Vec2.0 model using Hugging Face Transformers. The goal is to provide an open-source Amharic speech-to-text model, making it easier for developers and researchers to work with Amharic audio data. Amharic Speech-to-Text (ASR) with Wav2Vec2 This repository provides an Automatic Speech Recognition (ASR) system for Amharic built using Facebook’s Wav2Vec2.0 model fine-tuned on Amharic speech datasets. The project aims to make Amharic speech recognition accessible and open-source, supporting low-resource language research and real-world applications. Clone the repo and install dependencies: git clone github.com pip install Main dependencies: Python 3.9+ PyTorch Transformers Datasets Accelerate jiwer (for WER) 📂 Dataset This project uses Amharic speech datasets. You can replace or expand with your own data. Example structure: dataset/ ├── train/ │ ├── audio1.wav │ ├── audio2.wav │ └── ... ├── test/ │ ├── audio1.wav │ └── ... └── metadata.csv # transcripts, speaker info, etc.