Trending repositories for topic voice-activity-detection
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, Lich...
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, Lich...
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, Lich...
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
On-device voice activity detection (VAD) powered by deep learning
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
On-device voice activity detection (VAD) powered by deep learning
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
A python package to build AI-powered real-time audio applications
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, Lich...
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, Lich...
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
On-device voice activity detection (VAD) powered by deep learning
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Automatically synchronize and translate subtitles, or create new ones by transcribing, using pre-trained DNNs, Forced Alignments and Transformers. https://subaligner.readthedocs.io/
Runtime Audio Importer plugin for Unreal Engine. Importing audio of various formats at runtime.
Speech-to-Text based on SileroVAD + whisper.cpp (GGML Whisper) for ROS 2
Speech-to-Text based on SileroVAD + whisper.cpp (GGML Whisper) for ROS 2
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, Lich...
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
On-device voice activity detection (VAD) powered by deep learning
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
ASR 2Pass onnxruntime and websocket server, based on FunASR(https://github.com/alibaba-damo-academy/FunASR).
Runtime Audio Importer plugin for Unreal Engine. Importing audio of various formats at runtime.
Automatically synchronize and translate subtitles, or create new ones by transcribing, using pre-trained DNNs, Forced Alignments and Transformers. https://subaligner.readthedocs.io/
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021
💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, Lich...
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
Runtime Audio Importer plugin for Unreal Engine. Importing audio of various formats at runtime.
Automatically synchronize and translate subtitles, or create new ones by transcribing, using pre-trained DNNs, Forced Alignments and Transformers. https://subaligner.readthedocs.io/
On-device voice activity detection (VAD) powered by deep learning
ASR 2Pass onnxruntime and websocket server, based on FunASR(https://github.com/alibaba-damo-academy/FunASR).
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
ASR 2Pass onnxruntime and websocket server, based on FunASR(https://github.com/alibaba-damo-academy/FunASR).
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Speech-to-Text based on SileroVAD + whisper.cpp (GGML Whisper) for ROS 2
Introduction to Speech Processing
A python package to build AI-powered real-time audio applications
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, Lich...
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Runtime Audio Importer plugin for Unreal Engine. Importing audio of various formats at runtime.
On-device voice activity detection (VAD) powered by deep learning
This is the Python library for an unsupervised, fast method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.
🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).
Matlab and Python libraries for an unsupervised method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.
Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021
A python library for voice activity detection (VAD) for speech/non-speech segmentation.
Automatically synchronize and translate subtitles, or create new ones by transcribing, using pre-trained DNNs, Forced Alignments and Transformers. https://subaligner.readthedocs.io/