Towards Measuring Fairness in Speech Recognition: Casual Conversations
Dataset Transcriptions

Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions

18 November 2021

Andres Alvarado

Papers citing "Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions"

8 / 8 papers shown

Title
Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech Dena F. Mujtaba N. Mahapatra Megan Arney J Scott Yaruss Hope Gerlach-Houck Caryn Herring Jia Bin 40 0 0 10 May 2024
Elucidate Gender Fairness in Singing Voice Transcription Xiangming Gu Weizhen Zeng Ye Wang 17 3 0 05 Aug 2023
Some voices are too common: Building fair speech recognition systems using the Common Voice dataset Lucas Maison Yannick Esteve 26 3 0 01 Jun 2023
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness C. Hazirbas Yejin Bang Tiezheng Yu Parisa Assar Bilal Porgali ... Jacqueline Pan Emily McReynolds Miranda Bogen Pascale Fung Cristian Canton Ferrer 27 8 0 10 Nov 2022
Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities Pranav Dheram Murugesan Ramakrishnan A. Raju I-Fan Chen Brian King Katherine L. Powell Melissa Saboowala Karan Shetty A. Stolcke 22 33 0 22 Jul 2022
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech Gaoussou Youssouf Kebe Luke E. Richards Edward Raff Francis Ferraro Cynthia Matuszek SSL 22 5 0 27 Dec 2021
Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition Yangyang Shi Yongqiang Wang Chunyang Wu Ching-Feng Yeh Julian Chan Frank Zhang Duc Le M. Seltzer 56 168 0 21 Oct 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016