Reverse Dependencies of webrtcvad

The following projects have a declared dependency on webrtcvad:

• achatbot — An open source chat bot for voice (and multimodal) assistants
• AdonisAI — AdonisAI is python library to build your own AI virtual assistant with natural language processing.
• askbob — A customisable, federated, privacy-safe voice assistant deployable on low-power devices.
• asrp — no summary
• audioprocessor — A Python package for recording, transcribing, and converting audio
• audiosegment — Wrapper for pydub.AudioSegment for additional methods.
• CatalanTTSo — Catalan Text to Speech
• coqui-stt-model-manager — Model management and testing tool for Coqui STT models
• coqui-stt-server — A local server for Coqui STT models
• coqui-stt-training — Training code for Coqui STT
• cotipywhispercpp — Python bindings for whisper.cpp
• dnn — Machine Learning Utilities
• dspeech — A Speech-to-Text toolkit with VAD, punctuation, and emotion classification
• ezlocalai — ezlocalai is an easy to set up local multimodal artificial intelligence server with OpenAI Style Endpoints.
• ffsubsync — Language-agnostic synchronization of subtitles with video.
• findsub — Finding and ranking subtitles from subscene by how much they are synced.
• geekros — Python development framework for geekros.
• hermes-audio-server — An open source implementation of the audio server part of the Hermes protocol
• iarahealth-stt-training — Training code for Coqui STT
• ipa-recognizer — A pretrained IPA recognizer
• lemonpepper — A real-time audio transcription and AI interaction tool
• libyata — Yet Another Tools for Audio deep learning
• lidbox — End-to-end spoken language identification (LID) on TensorFlow
• medkit-lib — A Python library for a learning health system
• mixsim — An open-source dataset for multiple purposes, such as speaker localization/tracking, dereverberation, enhancement, separation, and recognition.
• mmanalyser — a tool for multimedia
• mockingbirdforuse — no summary
• ovos-vad-plugin-webrtcvad — webrtcvad VAD plugin for OpenVoiceOS
• paddle-parakeet — Speech synthesis tools and models based on Paddlepaddle
• paddlespeech — Speech tools and models based on Paddlepaddle
• paiutils — An artificial intelligence utilities package built to remove the delays of machine learning research.
• py-nltools — A collection of basic python modules for spoken natural language processing
• pydeepspeech — Mozilla's DeepSpeech transcriber in a pip installable package.
• pydiar — A simple to use library for speaker diarization
• pyloom-asr — Advanced real-time voice processing library using Whisper and Silero models
• pyrtstools — Tools for real time speech processing, keyword spotting
• pyvad — 'py-webrtcvad wrapper for trimming speech clips'
• pywhispercpp — Python bindings for whisper.cpp
• radtts — RADTTS library
• Resemblyzer — Analyze and compare voices with deep learning
• signal-transformation — The package allows performing a transformation of a signal using TensorFlow, Pytorch or LibROSA
• snips-respeaker — To build voice enabled objects with ReSpeaker
• snipsmanagercore — The Snips manager core utilities for creating end-to-end assistants
• snipsskillscore — The Snips skills core utilities for creating end-to-end assistants
• sonorus — Named after a spell in the Harry Potter Universe, where it amplies the sound of a speaker. In muggles' terminology, this is a repository of modules for audio and speech processing for and on top of machine learning based tasks such as speech-to-text.
• stt-listen — Transcribe long audio files with STT or use the streaming interface
• subsume — Language-agnostic synchronization of subtitles with video via speech detection.
• systemics — AI system for general agents
• tgear-sdk — Tactigon Gear SDK to connect to Tactigon Skin wereable platform
• thefiarlib — thefiarlib
• vocoder-dictation — Dictation for programmers
• Voice-Cloning — Introducing Voice_Cloning: A Python Package for Speech Synthesis and Voice Cloning!
• youtube-tts-data-generator — A python library that generates speech data with transcriptions by collecting data from YouTube.