|
--- |
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dataset_info: |
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config_name: CC_BY_3.0 |
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features: |
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- name: text |
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dtype: string |
|
- name: start |
|
dtype: float64 |
|
- name: end |
|
dtype: float64 |
|
- name: speaker |
|
dtype: string |
|
- name: language |
|
dtype: string |
|
- name: dnsmos |
|
dtype: float64 |
|
- name: source_podcast |
|
dtype: string |
|
- name: audio |
|
dtype: audio |
|
- name: speaker_id |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 1437253098.316 |
|
num_examples: 17942 |
|
download_size: 1432758259 |
|
dataset_size: 1437253098.316 |
|
configs: |
|
- config_name: CC_BY_3.0 |
|
data_files: |
|
- split: train |
|
path: CC_BY_3.0/train-* |
|
license: cc |
|
--- |
|
|
|
> [!TIP] |
|
> This particular dataset only kept the CC-BY 3.0 podcasts, which have been processed using the [Emilia-Pipe](https://github.com/open-mmlab/Amphion/blob/main/preprocessors/Emilia/README.md#emilia-pipe-overview-) with Whisper Large v3. |
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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. |
|
|
|
> [!TIP] |
|
> 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. |
|
|
|
|
|
## Length by license type |
|
|
|
**CC_BY 3.0:** |
|
Total length: 51.44h |
|
|
|
|
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## License |
|
|
|
See [here](https://podcastfillers.github.io/license/) for more details. The licenses are also in the metadata. |
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|
|
## Citation Information |
|
|
|
``` |
|
@inproceedings{Zhu:FillerWords:INTERSPEECH:22, |
|
title = {Filler Word Detection and Classification: A Dataset and Benchmark}, |
|
booktitle = {23rd Annual Cong.~of the Int.~Speech Communication Association (INTERSPEECH)}, |
|
address = {Incheon, Korea}, |
|
month = {Sep.}, |
|
url = {https://arxiv.org/abs/2203.15135}, |
|
author = {Zhu, Ge and Caceres, Juan-Pablo and Salamon, Justin}, |
|
year = {2022}, |
|
} |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@ylacombe](https://github.com/ylacombe) for adding this dataset. |
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|
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|
