Don't speak too fast: The impact of data bias on self-supervised speech
models

Don't speak too fast: The impact of data bias on self-supervised speech models

15 October 2021

Papers citing "Don't speak too fast: The impact of data bias on self-supervised speech models"

15 / 15 papers shown

Title
Exploring Gender Disparities in Automatic Speech Recognition Technology Hend Elghazaly B. Mirheidari Nafise Sadat Moosavi H. Christensen 36 0 0 25 Feb 2025
Efficient Training of Self-Supervised Speech Foundation Models on a Compute Budget Andy T. Liu Yi-Cheng Lin Haibin Wu Stefan Winkler Hung-yi Lee 25 1 0 09 Sep 2024
Self-supervised Speech Representations Still Struggle with African American Vernacular English Kalvin Chang Yi-Hui Chou Jiatong Shi Hsuan-Ming Chen Nicole Holliday Odette Scharenborg David R. Mortensen 28 2 0 26 Aug 2024
Spoken Stereoset: On Evaluating Social Bias Toward Speaker in Speech Large Language Models Yi-Cheng Lin Wei-Chih Chen Hung-yi Lee 31 1 0 14 Aug 2024
Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models Yi-Cheng Lin T. Lin Chih-Kai Yang Ke-Han Lu Wei-Chih Chen Chun-Yi Kuan Hung-yi Lee 29 1 0 09 Jul 2024
On the social bias of speech self-supervised models Yi-Cheng Lin T. Lin Hsi-Che Lin Andy T. Liu Hung-yi Lee 27 3 0 07 Jun 2024
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition Isaac Slaughter Craig Greenberg Reva Schwartz Aylin Caliskan 16 4 0 29 Oct 2023
EFFUSE: Efficient Self-Supervised Feature Fusion for E2E ASR in Low Resource and Multilingual Scenarios Tejes Srivastava Jiatong Shi William Chen Shinji Watanabe 29 1 0 05 Oct 2023
Feature Normalization for Fine-tuning Self-Supervised Models in Speech Enhancement Hejung Yang Hong-Goo Kang SSL 15 0 0 14 Jun 2023
Some voices are too common: Building fair speech recognition systems using the Common Voice dataset Lucas Maison Yannick Esteve 16 3 0 01 Jun 2023
Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models Takanori Ashihara Takafumi Moriya Kohei Matsuura Tomohiro Tanaka 14 3 0 09 May 2023
DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children's ASR Ruchao Fan Abeer Alwan 13 30 0 16 Jun 2022
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems Marcely Zanon Boito Laurent Besacier N. Tomashenko Yannick Esteve 27 18 0 04 Apr 2022
How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications Juan Pablo Zuluaga Amrutha Prasad Iuliia Nigmatulina Seyyed Saeed Sarfjoo P. Motlícek Matthias Kleinert H. Helmke Oliver Ohneiser Qingran Zhan 8 43 0 31 Mar 2022
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition Cheng-I Jeff Lai Yang Zhang Alexander H. Liu Shiyu Chang Yi-Lun Liao Yung-Sung Chuang Kaizhi Qian Sameer Khurana David D. Cox James R. Glass VLM 36 69 0 10 Jun 2021