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k2-fsa / sherpa-onnx

Speech-to-text, text-to-speech, speaker recognition, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter, Object Pascal, Lazarus, Rust
https://k2-fsa.github.io/sherpa/onnx/index.html
Apache License 2.0
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Librispeech trained model for Streaming ASR #177

Open Caet-pip opened 1 year ago

Caet-pip commented 1 year ago

Hello,

Are there any pre-trained models like icefall-asr-multidataset-pruned_transducer_stateless7-2023-05-04 (Englis) which are trained on GigaSpeech + LibriSpeech + Common Voice 13.0 for Streaming ASR

Concurrently, which is the best pre-trained model which you have for Streaming ASR

csukuangfj commented 1 year ago

Do you want Chinese or English?

Caet-pip commented 1 year ago

I would like to know about the English model please.

Caet-pip commented 1 year ago

Is there any example of using NeMo model for Streaming ASR as they can be exported as ONNX format?

csukuangfj commented 1 year ago

Is there any example of using NeMo model for Streaming ASR as they can be exported as ONNX format?

Sorry, we don't have any.