Open tools and data for cloudless automatic speech recognition
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Updated
Mar 30, 2021 - Python
Open tools and data for cloudless automatic speech recognition
This is Malayalam Speech Recognition model developed for CMUSphinx. This is now used for Google Summer Code 2016
This repository contains my attempt to use two famous speech recognition frameworks (Kaldi, CMU Sphinx4) for Arabic Language using the publicly-available dataset "Arabic Corpus of Isolated Words"
Acoustic and language models for minorised languages.
SphinxQt is an application for speech recognition based on CMU Sphinx
This is the main repository which includes part of the main CMUSphinx library and also encapsulates it into an Android App.
Simplified Python API for recognising speech with CMU Pocket Sphinx
A Flask API to convert speech to text using Offline Transcription methods - CMU Sphinx and DeepSpeech.
A web-app/library for transcribing speech
A small API for speech to text made in Django.
Implemented a Desktop PC Assistant Application in Java. The Application can be used to browse the internet and control the PC with the help of Voice Commands.
a device-state based speech recognition script
This toolkit is used to as a generic system to evaluate multiple asr engines having java SDK
Attempt to build a Raspberry Pi 3 voice recognition application.
Personal doctor bot for all your common medical needs.
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