tiny-random-UnivNetModel / preprocessor_config.json
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{
"center": false,
"compression_clip_val": 1e-05,
"compression_factor": 1.0,
"do_normalize": false,
"feature_extractor_type": "UnivNetFeatureExtractor",
"feature_size": 1,
"filter_length": 1024,
"fmax": 12000.0,
"fmin": 0.0,
"hop_length": 256,
"max_length_s": 10,
"mel_floor": 1e-09,
"model_in_channels": 64,
"normalize_max": 2.3143386840820312,
"normalize_min": -11.512925148010254,
"num_mel_bins": 100,
"pad_end_length": 10,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 24000,
"win_function": "hann_window",
"win_length": 1024
}