File size: 2,189 Bytes
080cd4c 7c0ecc9 080cd4c 7c0ecc9 080cd4c 7c0ecc9 080cd4c 08d1629 080cd4c 08d1629 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
---
dataset_info:
config_name: CC_BY_3.0
features:
- name: text
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.
# Some Podcasts
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
## License
See [here](https://podcastfillers.github.io/license/) for more details. The licenses are also in the metadata.
## 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.
|