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"
A small API for speech to text made in Django.
Acoustic and language models for minorised languages.
Speech to Text REST API built with flask with two endpoints. Uses deep speech and CMU sphinx models to transcribe the audio which can either be recorded from the web interface or directly upload through it.
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
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.
Personal doctor bot for all your common medical needs.
SphinxQt is an application for speech recognition based on CMU Sphinx
A Flask API to convert speech to text using Offline Transcription methods - CMU Sphinx and DeepSpeech.
CMU Sphinx decoder app. This application is just an CLI front-end to CMU sphinx decoder.
A web-app/library for transcribing speech
Attempt to build a Raspberry Pi 3 voice recognition application.
a device-state based speech recognition script
Simple Jupyter Notebook including a Speech Recognition implementation with CMUSphinx
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