README.md

metadata

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

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.

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.