abdouaziz/asr-wolof

This repository is about automatic speech recognition in Wolof # :star2: Automatique Speech Recognition in Wolof :star2: Automatic Speech Recognition or ASR is one of the tasks in NLP which consists of transcribing the corresponding text onto an audio clip. With the advent of deep learning, significant advances have been made in terms of speech recognition. In this repository, we will implement the models that have allowed this advance in the Wolof language. ## Objective To achieve our goals in this project we will implement two models related to the paper: * \[2015/12\] **Deep Speech 2: End-to-End Speech Recognition in English and Mandarin** * \[2015/08\] **Listen, Attend and Spell** ## Getting Started These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. ### Prerequisites install the dependencies for this project by running the following commands in your terminal: ``` pip install -r requirements.txt ``` run the deepspeech2 model by running the following command in your terminal: ``` python deep-speech2/src/train.py --train_file="./input/Train.csv" \ --dev_file="./input/Test.csv" \ --audio_dir="./input/clips" \ --n_filters=256 \ --conv_stide=2 \ --conv_border='valid' \ --n_lstm_units=256 \ --n_dense_units=42 \ --epochs=10 \ --batch_size=32 \ --output_dir="./output" \ ``` ## Ressources Here are some useful papers for automatique speech recognition : * \[2012/11\] **Sequence Transduction with Recurrent Neural Networks** * \[2014/11\] **Voice Recognition Using MFCC Algorithm** * \[2014/12\] **Deep Speech: Scaling up end-to-end speech recognition** * \[2015/06\] **Attention-Based Models for Speech-Recognition** * \[2015/08\] **Listen, Attend and Spell** * \[2015/12\] **Deep Speech 2: End-to-End Speech Recognition in English and Mandarin** * \[2017/06\] **Advances in Joint CTC-Attention based E2E ASR with a Deep CNN Encoder and RNN-LM** * \[2017/07\] **Attention Is All You Need** * \[2017/12\] **State-of-the-art Speech Recogniti …