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75 lines
2.6 KiB
75 lines
2.6 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import collections
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import json
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import os
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from typing import List
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from typing import Tuple
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from .dataset import AudioClassificationDataset
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__all__ = ['HeySnips']
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class HeySnips(AudioClassificationDataset):
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meta_info = collections.namedtuple('META_INFO',
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('key', 'label', 'duration', 'wav'))
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def __init__(self,
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data_dir: os.PathLike,
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mode: str='train',
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feat_type: str='kaldi_fbank',
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sample_rate: int=16000,
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**kwargs):
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self.data_dir = data_dir
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files, labels = self._get_data(mode)
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super(HeySnips, self).__init__(
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files=files,
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labels=labels,
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feat_type=feat_type,
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sample_rate=sample_rate,
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**kwargs)
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def _get_meta_info(self, mode) -> List[collections.namedtuple]:
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ret = []
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with open(os.path.join(self.data_dir, '{}.json'.format(mode)),
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'r') as f:
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data = json.load(f)
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for item in data:
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sample = collections.OrderedDict()
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if item['duration'] > 0:
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sample['key'] = item['id']
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sample['label'] = 0 if item['is_hotword'] == 1 else -1
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sample['duration'] = item['duration']
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sample['wav'] = os.path.join(self.data_dir,
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item['audio_file_path'])
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ret.append(self.meta_info(*sample.values()))
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return ret
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def _get_data(self, mode: str) -> Tuple[List[str], List[int]]:
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meta_info = self._get_meta_info(mode)
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files = []
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labels = []
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self.keys = []
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self.durations = []
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for sample in meta_info:
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key, target, duration, wav = sample
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files.append(wav)
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labels.append(int(target))
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self.keys.append(key)
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self.durations.append(float(duration))
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return files, labels
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