Awesome Speaker Diarization
Section: Framework · Support speaker diarization, speech recognition, and text-to speech on various platforms with various language bindings.
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Appears in 4 awesome lists
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…
Section: Framework · Support speaker diarization, speech recognition, and text-to speech on various platforms with various language bindings.
Section: 2. Model Codebases & Model Families · Complete speech toolkit with ASR, TTS, diarization, source separation, and VAD across embedded and edge environments via ONNX Runtime.
Section: Machine Learning · . [Delphi] [FPC] 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, Ascend NPU, x86_64 servers,…
Section: Natural Language Processing · 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…
Whisper is a general-purpose speech recognition model that can be run locally offline. It can transcribe audio from and to multiple languages.
industrial-grade ASR toolkit; 170× realtime on GPU, 50+ languages, built-in VAD, punctuation, speaker diarization, and emotion detection. Includes non-autoregressive SenseVoice and LLM-based Fun-ASR-Nano models.
VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational audio, such as podcasts, from text. It addresses significant challenges in traditional Text-to-Speech (TTS) systems, particularly in scalability, speaker consistency, and natural turn-taking.
Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
PyTorch speech toolkit with recipes for ASR, TTS, speaker recognition, and speech enhancement.
SDK for real-time on-device audio intelligence on iOS/macOS (diarization, identification, VAD, separation, embeddings, ASR), with CoreML models converted directly from PyTorch to leverage Apple Neural Engine performance.