README.md

---
# dataset card
# https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1

language:
  - en
tags:
  - audio
  - speech
  - speaker-identification
  - speaker-verification
  - text-to-speech
  - voice-cloning
#task_categories:
# see list https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/pipelines.ts
#- text-to-speech
#- speaker-identification
license: cc-by-sa-4.0
pretty_name: ASR Fairness Dataset Speaker Voices
configs:
- config_name: default
  data_files:
  - split: train
    path: "audio/*.wav"

---


# ASR Fairness Dataset voice samples for SDialog


Fair-Speech dataset, a public corpus containing 26,500 utterances from 593 compensated U.S. participants with self-reported demographics including age, gender, ethnicity, location, and native language status.    
The dataset spans seven voice assistant domains: music, capture, utilities, notification control, messaging, calling, and dictation.    

Total number of unique speakers: 593    
Total number of utterances: 26,471    
Average per utterance length: 7.42 seconds    
100% US (excludes speakers in IL, WA and TX)    

- https://ai.meta.com/datasets/speech-fairness-dataset/

- FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition    
  - https://arxiv.org/pdf/2506.10747v1
  - code: https://github.com/JongSuk1/FairASR