sherpa-onnx-fire-red-asr-ax650

Fire Red ASR speech recognition model converted to AX650 AXMODEL for on-device inference via sherpa-onnx.

Model Details

Original Model: FireRedTeam/FireRedASR-LLM-L
Architecture: Encoder-Decoder with BPE tokenizer
Task: Automatic Speech Recognition (ASR)
Sample rate: 16000 Hz
Target Chip: AX650 (NPU3)
Quantization: U16

Files

File	Size	Description
`encoder.axmodel`	812 MB	Encoder AXMODEL
`decoder_loop.axmodel`	397 MB	Decoder loop AXMODEL
`train_bpe1000.model`	246 KB	BPE tokenizer model (1000 tokens)
`dict.txt`	70 KB	Dictionary / vocabulary file
`cmvn.ark`	1.3 KB	CMVN normalization parameters
`pe.npy`	24 MB	Position encoding weights

Usage with sherpa-onnx

./sherpa-onnx-offline \
  --fire-red-asr-encoder=encoder.axmodel \
  --fire-red-asr-decoder=decoder_loop.axmodel \
  --tokens=dict.txt \
  --bpe-model=train_bpe1000.model \
  --provider=axera \
  audio.wav