speech-recognition-experiments
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Experiments to test different speech recognition systems for SEPIA Framework
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speech-recognition-experiments issues
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Please see https://k2-fsa.github.io/sherpa/onnx/index.html for the documentation It is similar to sherpa-ncnn but uses onnxruntime instead of ncnn for neural network computation.
The model `small-2023-01-09` is not our best-performing model. Please have a look at of our latest streaming zipformer at https://k2-fsa.github.io/sherpa/ncnn/pretrained_models/zipformer-transucer-models.html They can get a reasonable WER even without an LM...
Do whisper CT2(base model) achieve same speed as that of vosk (english large) on cpu only