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--- |
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license: cc |
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--- |
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# Some Podcasts |
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Podcasts are taken from the [PodcastFillers dataset](https://podcastfillers.github.io/). The PodcastFillers dataset consists of 199 full-length podcast episodes in English with manually annotated filler words and automatically generated transcripts. The podcast audio recordings, sourced from SoundCloud, are CC-licensed, gender-balanced, and total 145 hours of audio from over 350 speakers. |
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> [!TIP] |
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> This dataset doesn't upload the PodcastFillers annotations, which are under a non-commercial license. See [here](https://podcastfillers.github.io/license/) for more details. |
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## Length by license type |
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**CC_BY 3.0:** |
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Total length: 73.6 h. Mean length: 44.2 min |
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**CC_BY SA 3.0:** |
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Total length: 54.9 h. Mean length: 41.7 min |
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**CC_BY ND 3.0 :** |
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Total length: 16.7 h. Mean length: 50 min |
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## License |
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See [here](https://podcastfillers.github.io/license/) for more details. The licenses are also in the metadata. |
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## Citation Information |
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``` |
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@inproceedings{Zhu:FillerWords:INTERSPEECH:22, |
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title = {Filler Word Detection and Classification: A Dataset and Benchmark}, |
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booktitle = {23rd Annual Cong.~of the Int.~Speech Communication Association (INTERSPEECH)}, |
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address = {Incheon, Korea}, |
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month = {Sep.}, |
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url = {https://arxiv.org/abs/2203.15135}, |
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author = {Zhu, Ge and Caceres, Juan-Pablo and Salamon, Justin}, |
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year = {2022}, |
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} |
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``` |
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### Contributions |
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Thanks to [@ylacombe](https://github.com/ylacombe) for adding this dataset. |
