Open Source Mac Speech Software

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 instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page.

audacity-extra now provides a sleek dark themed version of the Audacity open source sound editor. The project experiments with Audacity variations. There's a vowel-sound target-practice display for language learners and an analog waveform data logger for embedded systems.

mp3 library, advanced ID3V1 and ID3V2 tagger, player. Organize a large mp3 library, over 40,000 songs. Speech synthesis and tag backup utilities. Scripts to maintain and organize song files.

MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.

Project c2h - cetacean to human - building Seadragon, a tool for the scientific research of the acoustic communication of cetaceans, supporting the creation, emission, and recognition of underwater whistles. The blog: http://leafyseadragon.blogspot.com/

<h3>SpeaR</h3><b>SpeakingRoomplan</b> <p> SpeaR, der sprechende Raumplan, liest Ereignisse aus eine DB aus und gibt entsprechende Meldungen in verschiedenen Räumen aus.</P> <br>DB <--JDBC--> Server <--JINI--> SpeakingClients

TLDP Audio Conversion This is an attempt to convert the Entire TLDP Project into audio format for expanded use and distribution