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WatsonNT kph68 commited on
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Duplicate from ky552/ML2021_ASR_ST

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Co-authored-by: Kuan-Po Huang <kph68@users.noreply.huggingface.co>

Files changed (26) hide show
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  2. README.md +51 -0
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+ # Audio files - uncompressed
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+ ---
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: dev
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+ path: data/dev-*
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+ - split: test
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+ path: data/test-*
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+ dataset_info:
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+ features:
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+ - name: audio
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+ dtype:
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+ audio:
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+ sampling_rate: 16000
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+ - name: transcription
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+ dtype: string
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+ - name: translation
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+ dtype: string
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+ - name: file
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 6392221146.655
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+ num_examples: 17779
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+ - name: dev
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+ - name: test
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+ num_bytes: 4054213966.96
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+ num_examples: 14916
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+ download_size: 8220600841
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+ dataset_size: 11233340821.535
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+ license: mit
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+ ---
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+ # Dataset Card for "ML2021_ASR_ST"
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+ This dataset contains the audio recordings, the transcriptions, and the English translation of the transcriptions of the Machine Learning Course in 2021 at National Taiwan Univeristy.
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+ This can be used for domain-specific and code-switching ASR/Speech-to-text translation.
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+
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+ If you find this dataset useful, please consider to cite the following paper:
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+ ```
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+ @inproceedings{yang2024investigating,
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+ title={Investigating zero-shot generalizability on mandarin-english code-switched asr and speech-to-text translation of recent foundation models with self-supervision and weak supervision},
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+ author={Yang, Chih-Kai and Huang, Kuan-Po and Lu, Ke-Han and Kuan, Chun-Yi and Hsiao, Chi-Yuan and Lee, Hung-yi},
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+ booktitle={2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)},
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+ pages={540--544},
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+ year={2024},
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+ organization={IEEE}
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+ }
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+ ```
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