Search Results for "net-tools"

RealtimeSTT is a Python-based realtime speech-to-text engine emphasizing low latency, wake-word detection, voice activity detection, and automatic speech segmentation. It provides asynchronous callbacks, nanosecond-precision timestamps, and CLI tools, suitable for building voice assistants, meeting transcribers, or live caption systems.

Software for speech recognition in English & Polish languages. Basic versions of SkryBot: 1. SkryBot Home Speech (English Language) - https://sourceforge.net/projects/skrybotdomowy/files/ReleasesEnglish/InstalatorSkryBotHomeSpeechDemo-2.6.9.18117.exe/download 2. SkryBot DoMowy (Polish Language) - https://sourceforge.net/projects/skrybotdomowy/files/ReleasesPolish/InstalatorSkryBotDoMowyDemo-2.4.9.18117.exe/download More...

...----> Maintenance and improvement work has MOVED to https://cmusphinx.github.io/ Please go there for the most recent software and documentation. <---- CMUSphinx is a speaker-independent large vocabulary continuous speech recognizer released under BSD style license. It is also a collection of open source tools and resources that allows researchers and developers to build speech recognition systems.

Yap MCP lets Claude, Cursor, VS Code, Windsurf and any MCP client transcribe local audio and video files (WAV, MP3, M4A, MP4, FLAC, OGG, Opus, WebM and more, any length) entirely on your computer with NVIDIA Parakeet TDT v3, the same speech engine as the Yap dictation app. 25 European languages detected automatically, optional timestamps, and a read-only search of your Yap dictation history. No upload, no API key, no account; the speech model (about 670 MB) downloads once and then it works offline. Tools: transcribe_audio, search_dictations, prepare_speech_model. Install: npx -y github:founden-bot/yap-mcp Claude Code: claude mcp add yap -- npx -y github:founden-bot/yap-mcp Source: https://github.com/founden-bot/yap-mcp (MIT license, Node.js 20+, macOS, Windows, Linux). The Yap team, O-mega Enterprise Inc.