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DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the...

Mumble is an open source, low-latency, high quality voice chat software primarily intended for use while gaming. It includes game linking, so voice from other players comes from the direction of their characters, and has echo cancellation so the sound from your loudspeakers won't be audible to other players.

Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.

A multimodal, multiliteracy aware programmed approach to creating virtual realities inspired by Plato's Symposium and all surrounding, mostly later, texts. Designed for the author's doctoral dissertation.

RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition. full installation and usage instructions given at http://sourceforge.net/p/rnnl/wiki/Home/

The Bonn Open Synthesis System (BOSS) is an extensible concatenative speech synthesizer with Non-Uniform Unit Selection capabilities developed at the University of Bonn, Germany.

QWave: Qt-based waveform display and audio playback class library.

A collection of scripts and programs to automatically annotate video/audio for subtitles. Basically relies on a MARSYAS (Music Analysis, Retrieval and Synthesis for Audio Signals) plug-in for detecting human voice in polyphonic recordings.

AGTK is a suite of software components for building tools for annotating linguistic signals, time-series data which documents any kind of linguistic behavior (e.g. audio, video). The internal data structures are based on annotation graphs.

Automated Attendance System (AAS) uses 2 modes for authentication - * Voice Identification System (VIS) * Fingerprinting Method The algorithms used for the same has been developed by me. This algo is more efficient and faster.

The Pawn will make it possibly for you to tell the computer exactly what you would like it to do. Fiction. No its reality now. The highly customizable slackware will be the base for Pawn.

This project is intended for users who want to get more out of the voice modem they may have. Why another project for modem? Looking for the good quality software for the voice communication trough the modem, I could find only Win32 based. Linux now :)