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https://github.com/modelscope/FunASR
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@ -3,8 +3,8 @@
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. ./path.sh || exit 1;
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# machines configuration
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CUDA_VISIBLE_DEVICES="0"
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gpu_num=1
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CUDA_VISIBLE_DEVICES="0,1"
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gpu_num=2
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count=1
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gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding
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# for gpu decoding, inference_nj=ngpu*njob; for cpu decoding, inference_nj=njob
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@ -111,6 +111,7 @@ class ESPnetDataset(Dataset):
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int_dtype: str = "long",
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dest_sample_rate: int = 16000,
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speed_perturb: tuple = None,
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mode: str = "train",
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):
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assert check_argument_types()
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if len(path_name_type_list) == 0:
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@ -125,6 +126,7 @@ class ESPnetDataset(Dataset):
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self.int_dtype = int_dtype
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self.dest_sample_rate = dest_sample_rate
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self.speed_perturb = speed_perturb
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self.mode = mode
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self.loader_dict = {}
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self.debug_info = {}
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@ -148,7 +150,8 @@ class ESPnetDataset(Dataset):
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loader_type: loader_type. sound, npy, text, etc
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"""
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if loader_type == "sound":
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loader = SoundScpReader(path, self.dest_sample_rate, normalize=True, always_2d=False, speed_perturb=self.speed_perturb)
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speed_perturb = self.speed_perturb if self.mode == "train" else None
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loader = SoundScpReader(path, self.dest_sample_rate, normalize=True, always_2d=False, speed_perturb=speed_perturb)
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return AdapterForSoundScpReader(loader, self.float_dtype)
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elif loader_type == "kaldi_ark":
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loader = kaldiio.load_scp(path)
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