yeyupiaoling/VoiceprintRecognition-Pytorch

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

End-to-End Speech Processing Toolkit

A PyTorch-based Speech Toolkit

A python package to build AI-powered real-time audio applications

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

Facebook AI Research's Automatic Speech Recognition Toolkit