speech to text benchmark framework
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Updated
Dec 10, 2024 - Python
speech to text benchmark framework
Python interface to CMU Sphinxbase and Pocketsphinx libraries
🔮 Word by word audio subtitle synchronisation tool and API. Developed under GSoC 2017 with CCExtractor.
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.
A speech recognition plugin for Unreal Engine 5. This is essentially a port of Pocketsphinx, to be used within an Unreal Engine project.
Updated ROS bindings to pocketsphinx
A sample Unity project showing how to use PocketSphinx.
🦁 Nala is an agile open-source voice assistant framework (20+ actions).
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
pocketsphinx models for languages originating from the iberian peninsula
NTSpeechRecognition is a iOS/macOS framework, written in Objective-c, providing speech recognition functionality. For decoding PocketSphinx is used. (Keyword spotting, JSGF Grammar, NGram)
Virtual assistant with offline voice recognition for Raspberry Pi
Simplified Python API for recognising speech with CMU Pocket Sphinx
It's the senior design project I did in University of Detroit Mercy from 2017 to 2018, based on Pioneer3-DX robot platform with Kinect2, Hokuyo. This project conclude some open-spurce algorithm I found in github contains SLAM-gmapping, pocketsphinx and so on. Thanks for the providers! The robot contain basic mapping and navigation functions, wit…
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