sherpa-onnx is software for Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime
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sherpa-onnx is software for Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime
Read moreSimon is open source speech recognition software which aims to be flexible and highly customizable.
Read moreEesen is to simplify the existing complicated, expertise-intensive ASR pipeline into a straightforward sequence learning problem.
Read moreCMUSphinx (Sphinx) is a collective term to describe a group of speech recognition systems developed at Carnegie Mellon University.
Read moreJulius is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) engine. It supports N-gram based dictation.
Read moreOpenSeq2Seq is a toolkit for distributed and mixed precision training of sequence-to-sequence models.
Read moreDeepSpeech is an open source Speech-To-Text engine, using a model trained by machine learning techniques.
Read moredeepspeech.pytorch is an implementation of DeepSpeech2 using Baidu Warp-CTC. It creates a network based on the DeepSpeech2 architecture.
Read moreESPnet is an end-to-end speech processing toolkit, mainly focuses on end-to-end speech recognition and end-to-end text-to-speech.
Read moreKaldi is a state-of-the-art speech recognition toolkit written in C++. It’s intended to be used mainly for acoustic modelling research.
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