speech to text benchmark framework
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Updated
Oct 9, 2022 - Python
speech to text benchmark framework
Python interface to CMU Sphinxbase and Pocketsphinx libraries
Offline Voice Recognition Module for MagicMirror²
An Android app that lets you search your contacts by voice. Internet not required. Based on Pocketsphinx. Uses Estonian acoustic models.
Chatbot in russian with speech recognition using PocketSphinx and speech synthesis using RHVoice. The AttentionSeq2Seq model is used. Imlemented using Python3+TensorFlow+Keras.
Updated ROS bindings to pocketsphinx
A sample Unity project showing how to use PocketSphinx.
This is Malayalam Speech Recognition model developed for CMUSphinx. This is now used for Google Summer Code 2016
Simple Russian voice assistant based on Android Things and Raspberry Pi 3
Speech recognition in JavaScript
Speech recognition with Python
Raspberry Pi Zero voice controlled relay switch
NTSpeechRecognition is a iOS/macOS framework, written in Objective-c, providing speech recognition functionality. For decoding PocketSphinx is used. (Keyword spotting, JSGF Grammar, NGram)
A speech recognition plugin for Unreal Engine 5. This is essentially a port of Pocketsphinx, to be used within an Unreal Engine project.
pocketsphinx models for languages originating from the iberian peninsula
Simplified Python API for recognising speech with CMU Pocket Sphinx
Virtual assistant with offline voice recognition for Raspberry Pi
Offline urdu speech recognition toolkit based on PocketSphinx 1.8 for Android devices
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