| --- |
| license: cc-by-4.0 |
| configs: |
| - config_name: default |
| drop_labels: true |
| --- |
| |
| # VocalGrad Representative |
|
|
| This repository contains a compact representative subset of VocalGrad for quick |
| inspection and smoke testing. |
|
|
| It contains one base source clip and all augmentations derived from that clip |
| for the nine active VocalGrad categories. |
|
|
| ## Contents |
|
|
| - source clip: `p226_106` |
| - source text: "It was some time before she found out he was safe." |
| - categories: `9` |
| - augmentations per category: `24` |
| - total augmented clips: `216` |
| - labels: `increase`, `decrease` |
|
|
| ## Layout |
|
|
| ```text |
| README.md |
| metadata.csv |
| audio/ |
| source_audio/ |
| source_text/ |
| metadata/summary.json |
| ``` |
|
|
| The main data file follows the Hugging Face audio dataset convention: |
|
|
| - `metadata.csv` is located at the repository root. |
| - `metadata.csv` contains a `file_name` column. |
| - `file_name` contains full relative paths to the benchmark clips in the flat |
| `audio/` directory. |
|
|
| ## Task |
|
|
| Given an audio clip and an attribute name, answer whether the target attribute |
| increases or decreases over time. |
|
|
| ```text |
| Does the {attribute} increase or decrease over time? |
| |
| Answer with only one word: "increase" or "decrease". |
| ``` |
|
|
| The label is derived from `direction`: |
|
|
| - `up` -> `increase` |
| - `down` -> `decrease` |
|
|
| ## Categories |
|
|
| - `volume` |
| - `speaking_speed` |
| - `voice_pitch` |
| - `background_noise` |
| - `audio_distortion` |
| - `audio_roughness` |
| - `voice_clarity` |
| - `voice_vibration` |
| - `echo` |
|
|
| ## License |
|
|
| This representative VocalGrad subset is released under the Creative Commons |
| Attribution 4.0 International License (CC BY 4.0). |
|
|
| The source speech clip is derived from the CSTR VCTK Corpus version 0.92, which |
| is distributed under the Creative Commons Attribution 4.0 International Public |
| License. |
|
|
| ## Source Dataset Credit |
|
|
| VocalGrad uses source speech from the CSTR VCTK Corpus: |
|
|
| Yamagishi, Junichi; Veaux, Christophe; MacDonald, Kirsten. (2019). CSTR VCTK |
| Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit (version |
| 0.92), [sound]. University of Edinburgh. The Centre for Speech Technology |
| Research (CSTR). https://doi.org/10.7488/ds/2645. |
|
|
| Original dataset record: |
| https://datashare.ed.ac.uk/handle/10283/3443 |
|
|
| License: |
| Creative Commons Attribution 4.0 International |
| https://creativecommons.org/licenses/by/4.0/ |
|
|
| ## Modifications |
|
|
| The audio clips in this representative subset are transformed derivatives of |
| one VCTK source clip. VocalGrad applies controlled time-varying transformations |
| to create benchmark examples for detecting whether a target perceptual |
| attribute increases or decreases over time. The included metadata identifies |
| the source clip ID and the transformation condition for each derived clip. |
|
|
