Modelpublic

inoryQwQ/sherpa-onnx-sense-voice-ax650

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face

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Model Card

sherpa-onnx-sense-voice-ax650

SenseVoice multilingual ASR model converted to AX650 AXMODEL for on-device inference via sherpa-onnx. Supports Chinese, English, Japanese, Cantonese, and Korean.

Model Details

—Original Model: FunAudioLLM/SenseVoiceSmall
—Architecture: SAN-M (Self-Attention Network with Memory) encoder + CTC decoder
—Task: Multilingual ASR + emotion recognition
—Languages: Chinese (zh), English (en), Japanese (ja), Cantonese (yue), Korean (ko)
—Sample rate: 16000 Hz
—Target Chip: AX650 (NPU3)
—Quantization: U16

Files

File	Description
`sensevoice.axmodel`	AX650 compiled SenseVoice model
`tokens.txt`	Token vocabulary file
`am.mvn`	Acoustic model mean/variance normalization
`chn_jpn_yue_eng_ko_spectok.bpe.model`	BPE tokenizer model

Usage with sherpa-onnx

bash

./sherpa-onnx-offline \
  --sense-voice-model=sensevoice.axmodel \
  --tokens=tokens.txt \
  --provider=axera \
  audio.wav

Performance

Metric	Value
RTF	TBD

Conversion Details

—Pulsar2 Version: 6.0
—Calibration: MinMax with 10 samples
—Quantization: U16

License

Apache 2.0