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.
text corpus used to build AfriSauti Languages Model
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
A slim Python client for Mozilla's DeepSpeech STT
Virtual Robot that uses Machine Learning, Deep Speech, AI, Recognition Software, etc.
A TensorFlow implementation of Baidu's DeepSpeech architecture
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
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