DeepFilterNet3.AXERA / configuration.json
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DeepFilterNet3 AXERA 量化部署包: axmodels (GRU 状态携带) + Python SDK + C++ 可执行文件
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{
"model_name": "DeepFilterNet3",
"supported_chips": ["AX650N"],
"quantization": {
"enc": "U16 (MinMax + SmoothQuant 0.5)",
"erb_dec": "U16 (MinMax + SmoothQuant 0.5)",
"df_dec": "FP32 (输出层精度保底)"
},
"sample_rate": 48000,
"fft_size": 960,
"hop_size": 480,
"chunk_frames": 99,
"gru_stateful": true,
"pulsar2_version": "7.0",
"axmodel_files": [
"axmodels/enc.axmodel",
"axmodels/erb_dec.axmodel",
"axmodels/df_dec.axmodel"
]
}