Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2
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Updated
May 20, 2019
Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2
Install Mozilla DeepSpeech on a Raspberry Pi 4
This repository contains an attempt to incorporate Rasa Chatbot with state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models directly without the need of running additional servers or socket connections.
Automatically create YouTube mashups. Given videos and a text, AutoMash will cut the videos together so the speakers in the video appears to says the given text.
Using Mozilla TensorFlow implementation of Baidu's Deep Speech
text corpus used to build AfriSauti Languages Model
A TensorFlow implementation of Baidu's DeepSpeech architecture
Implementation of Deep Speech 2 paper with Parallel MinGRU in Lightning AI ⚡
A client-server setup for speech recognition using Mozilla Deep Speech
A toy repository for using PyTorch Lightning 2.x to train an adapted DeepSpeech 2 model
ASR models implemented from scratch in PyTorch
Virtual Robot that uses Machine Learning, Deep Speech, AI, Recognition Software, etc.
A slim Python client for Mozilla's DeepSpeech STT
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