Dataset Management Platform

Voice Recognition Dataset

Summary

gender
male
40%
female
44%
other
16%
languages
english
46%
french
20%
spanish
21%
german
13%
countries
united kingdom
40%
spain
44%
france
16%

Data sources

SourceNumber of filesLast updated
Custom Data Collection by Twine AI
Proprietary
100,0002023-12-01
Urban Sound 8K dataset
Open Source
CC BY-NC
8,7322023-02-01
Common Voice Corpus 16.1
Open Source
CC-0
90,4742023-02-01

Compliance

EU AI Act Report
GDPR Report Compliant
GDPR Request (Personal Identifiable Information) 31,430 identities found
Risk report 8 major risks identified
Files
File nameLabelsDate addedLast updated
Audio File 1.mp3MP3 male english united kingdom2023-10-132023-10-13
Audio File 2.wavWAV female french spain2023-10-142023-10-14
Audio File 3.mp4MP4 other spanish france2023-10-152023-10-15
Audio File 4WAV male german united kingdom2023-10-162023-10-16
Audio File 5MP3 female english spain2023-10-172023-10-17
Video File 1MP4 other french france2023-10-182023-10-18
Video File 2AVI male english united kingdom2023-10-192023-10-19
Video File 3MKV other french france2023-10-202023-10-20
Video File 4MP4 female english spain2023-10-212023-10-21
Video File 5AVI male german united kingdom2023-10-222023-10-22

Voice Recognition Dataset Metadata

gender

  • male: 134 (40%)
  • female: 144 (44%)
  • other: 53 (16%)

languages

  • english: 264 (46%)
  • french: 114 (20%)
  • spanish: 118 (21%)
  • german: 74 (13%)

countries

  • united kingdom: 134 (40%)
  • spain: 144 (44%)
  • france: 53 (16%)

License: MIT License

Audio File 1.mp3 Metadata

placeholder
  • gender: male
  • language: english
  • country: united kingdom
  • file Size: 1200
  • length: 03:15
  • file Format: MPEG-3 (MP3)
  • bitrate: 320 kbps
  • sample Rate: 44.1 KHz
  • annotations: male, 30
  • Individuals consent given
  • GDPR Compliant
  • created At: 2023-10-13
  • updated At: 2023-10-13