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WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

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

A MNIST-like fashion product database. Benchmark :point_down:

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.

A PyTorch-based Speech Toolkit

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 11 programming languages

Source for the TechEmpower Framework Benchmarks project

OpenMMLab Pose Estimation Toolbox and Benchmark.

Multilingual Voice Understanding Model