Datasets:
vctk

	---
	annotations_creators:
	- expert-generated
	language_creators:
	- crowdsourced
	language:
	- en
	license:
	- cc-by-4.0
	multilinguality:
	- monolingual
	pretty_name: VCTK
	size_categories:
	- 10K<n<100K
	source_datasets:
	- original
	task_categories:
	- automatic-speech-recognition
	- text-to-speech
	- text-to-audio
	task_ids: []
	paperswithcode_id: vctk
	train-eval-index:
	- config: main
	task: automatic-speech-recognition
	task_id: speech_recognition
	splits:
	train_split: train
	col_mapping:
	file: path
	text: text
	metrics:
	- type: wer
	name: WER
	- type: cer
	name: CER
	dataset_info:
	features:
	- name: speaker_id
	dtype: string
	- name: audio
	dtype:
	audio:
	sampling_rate: 48000
	- name: file
	dtype: string
	- name: text
	dtype: string
	- name: text_id
	dtype: string
	- name: age
	dtype: string
	- name: gender
	dtype: string
	- name: accent
	dtype: string
	- name: region
	dtype: string
	- name: comment
	dtype: string
	config_name: main
	splits:
	- name: train
	num_bytes: 40103111
	num_examples: 88156
	download_size: 11747302977
	dataset_size: 40103111
	---

	# Dataset Card for VCTK

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: [Edinburg DataShare](https://doi.org/10.7488/ds/2645)
	- Repository:
	- Paper:
	- Leaderboard:
	- Point of Contact:

	### Dataset Summary

	This CSTR VCTK Corpus includes around 44-hours of speech data uttered by 110 English speakers with various accents. Each speaker reads out about 400 sentences, which were selected from a newspaper, the rainbow passage and an elicitation paragraph used for the speech accent archive.

	### Supported Tasks

	- `automatic-speech-recognition`, `speaker-identification`: The dataset can be used to train a model for Automatic Speech Recognition (ASR). The model is presented with an audio file and asked to transcribe the audio file to written text. The most common evaluation metric is the word error rate (WER).
	- `text-to-speech`, `text-to-audio`: The dataset can also be used to train a model for Text-To-Speech (TTS).

	### Languages

	[More Information Needed]

	## Dataset Structure

	### Data Instances

	A data point comprises the path to the audio file, called `file` and its transcription, called `text`.

	```
	{
	'speaker_id': 'p225',
	'text_id': '001',
	'text': 'Please call Stella.',
	'age': '23',
	'gender': 'F',
	'accent': 'English',
	'region': 'Southern England',
	'file': '/datasets/downloads/extracted/8ed7dad05dfffdb552a3699777442af8e8ed11e656feb277f35bf9aea448f49e/wav48_silence_trimmed/p225/p225_001_mic1.flac',
	'audio':
	{
	'path': '/datasets/downloads/extracted/8ed7dad05dfffdb552a3699777442af8e8ed11e656feb277f35bf9aea448f49e/wav48_silence_trimmed/p225/p225_001_mic1.flac',
	'array': array([0.00485229, 0.00689697, 0.00619507, ..., 0.00811768, 0.00836182, 0.00854492], dtype=float32),
	'sampling_rate': 48000
	},
	'comment': ''
	}
	```

	Each audio file is a single-channel FLAC with a sample rate of 48000 Hz.

	### Data Fields

	Each row consists of the following fields:

	- `speaker_id`: Speaker ID
	- `audio`: Audio recording
	- `file`: Path to audio file
	- `text`: Text transcription of corresponding audio
	- `text_id`: Text ID
	- `age`: Speaker's age
	- `gender`: Speaker's gender
	- `accent`: Speaker's accent
	- `region`: Speaker's region, if annotation exists
	- `comment`: Miscellaneous comments, if any

	### Data Splits

	The dataset has no predefined splits.

	## Dataset Creation

	### Curation Rationale

	[More Information Needed]

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed]

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	#### Annotation process

	[More Information Needed]

	#### Who are the annotators?

	[More Information Needed]

	### Personal and Sensitive Information

	The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in this dataset.

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	### Dataset Curators

	[More Information Needed]

	### Licensing Information

	Public Domain, Creative Commons Attribution 4.0 International Public License ([CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/legalcode))

	### Citation Information

	```bibtex
	@inproceedings{Veaux2017CSTRVC,
	title = {CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit},
	author = {Christophe Veaux and Junichi Yamagishi and Kirsten MacDonald},
	year = 2017
	}
	```

	### Contributions

	Thanks to [@jaketae](https://github.com/jaketae) for adding this dataset.