athena.data.datasets.speech_recognition_kaldiio¶
audio dataset
Module Contents¶
Classes¶
SpeechRecognitionDatasetKaldiIOBuilder |
SpeechRecognitionDatasetKaldiIOBuilder |
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class
athena.data.datasets.speech_recognition_kaldiio.SpeechRecognitionDatasetKaldiIOBuilder(config=None)¶ Bases:
athena.data.datasets.base.BaseDatasetBuilderSpeechRecognitionDatasetKaldiIOBuilder
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default_config¶
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num_class¶ return the max_index of the vocabulary + 1
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speaker_list¶ return the speaker list
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audio_featurizer_func¶ return the audio_featurizer function
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sample_type¶
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sample_shape¶
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sample_signature¶
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reload_config(self, config)¶ reload the config
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preprocess_data(self, file_dir, apply_sort_filter=True)¶ Generate a list of tuples (feat_key, speaker).
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load_scps(self, file_dir)¶ load kaldi-format feats.scp, labels.scp and utt2spk (optional)
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__getitem__(self, index)¶
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__len__(self)¶ return the number of data samples
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filter_sample_by_unk(self)¶ filter samples which contain unk
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filter_sample_by_input_length(self)¶ filter samples by input length
The length of filterd samples will be in [min_length, max_length)
Returns: a filtered list of tuples (wav_filename, wav_len, transcripts, speed, speaker) Return type: entries
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filter_sample_by_output_length(self)¶ filter samples by output length
The length of filterd samples will be in [min_length, max_length)
Returns: a filtered list of tuples (wav_filename, wav_len, transcripts, speed, speaker) Return type: entries
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compute_cmvn_if_necessary(self, is_necessary=True)¶ compute cmvn file
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