Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering

no code implementations • 6 Jun 2023 • Irina-Elena Veliche, Pascale Fung

In the past few years there have been many improvements in overall speech recognition quality, but without any particular focus on advancing Equality and Equity for all user groups for whom systems do not perform well.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Text Generation with Speech Synthesis for ASR Data Augmentation

no code implementations • 22 May 2023 • Zhuangqun Huang, Gil Keren, Ziran Jiang, Shashank Jain, David Goss-Grubbs, Nelson Cheng, Farnaz Abtahi, Duc Le, David Zhang, Antony D'Avirro, Ethan Campbell-Taylor, Jessie Salas, Irina-Elena Veliche, Xi Chen

In this work, we explore text augmentation for ASR using large-scale pre-trained neural networks, and systematically compare those to traditional text augmentation methods.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition

no code implementations • 1 Mar 2023 • Philipp Klumpp, Pooja Chitkara, Leda Sari, Prashant Serai, JiLong Wu, Irina-Elena Veliche, Rongqing Huang, Qing He

In this work, we improve an accent-conversion model (ACM) which transforms native US-English speech into accented pronunciation.

Automatic Speech Recognition Data Augmentation +2

Model-Based Approach for Measuring the Fairness in ASR

no code implementations • 19 Sep 2021 • Zhe Liu, Irina-Elena Veliche, Fuchun Peng

The issue of fairness arises when the automatic speech recognition (ASR) systems do not perform equally well for all subgroups of the population.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2