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Fast and accurate automatic speech recognition (ASR) for edge devices
moonshine is an open-source automatic speech recognition toolkit optimized for fast and accurate transcription on edge devices and local environments. The project is designed to enable real-time voice applications such as live transcription, voice commands, and embedded speech interfaces without requiring heavy cloud infrastructure. Its architecture emphasizes low latency and flexible input handling, allowing audio streams of varying durations rather than relying on fixed processing windows....
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.
This project includes basic NLP and DSP techniques for Text-to-Speech
See TTS demo at: http://rslp.racai.ro/index.php?page=tts
This is an entirely written in JAVA project which includes a set of tools and methods designed to enable Multilingual Text-to-Speech (TTS) synthesis. We currently support English and Romanian but we will soon train more models and make them available for download.
If you want to read more about our other NLP and TTS tools check out http://nlptools.racai.ro.
Automatically translate english/french/german text to german/french/english text and output speech in appropriate language.
All Automagically with the power of the inter-webs.
Linguistics tool, mainly for discourse analysis. Trans-Scribe will provide users with an interface for transcribing .wav audio speech files in any language and creating documents that display, publish, or export the waveform along with transcriptions.