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speaker-verification

🔧🔗https://github.com/speechbrain/speechbrain A PyTorch-based Speech Toolkit

🔧🔗https://github.com/pyannote/pyannote-audio Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker em

🔧🔗https://github.com/markovka17/dla

Deep learning for audio processing

🔧🔗https://github.com/modelscope/3D-Speaker A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization

[🔧🔗https://github.com/alphacep/vosk-api](https://github.com/alphacep/vosk-api

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

🔧🔗https://github.com/speechbrain/speechbrain.github.io The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.