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20182025
most citedQuantifying Bias in Automatic Speech Recognition

55 citations · 117 across the 27 of their papers we have counts for

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8 papers · 1 filter

cs.SD2025

The Multimodal Information Based Speech Processing (MISP) 2025 Challenge: Audio-Visual Diarization and Recognition

Ming Gao, Shilong Wu, Hang Chen +6

Meetings are a valuable yet challenging scenario for speech applications due to complex acoustic conditions. This paper summarizes the outcomes of the MISP 2025 Challenge, hosted a…

cs.SD2022★ 3 cited

Manipulation of oral cancer speech using neural articulatory synthesis

Bence Mark Halpern, Teja Rebernik, Thomas Tienkamp +5

We present an articulatory synthesis framework for the synthesis and manipulation of oral cancer speech for clinical decision making and alleviation of patient stress. Objective an…

cs.SD2022

Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition

Piotr Żelasko, Siyuan Feng, Laureano Moro Velazquez +5

The high cost of data acquisition makes Automatic Speech Recognition (ASR) model training problematic for most existing languages, including languages that do not even have a writt…

cs.SD2022

The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition

Luke Prananta, Bence Mark Halpern, Siyuan Feng +1

In this paper, we investigate several existing and a new state-of-the-art generative adversarial network-based (GAN) voice conversion method for enhancing dysarthric speech for imp…

cs.SD2021★ 3 cited

Towards Identity Preserving Normal to Dysarthric Voice Conversion

Wen-Chin Huang, Bence Mark Halpern, Lester Phillip Violeta +2

We present a voice conversion framework that converts normal speech into dysarthric speech while preserving the speaker identity. Such a framework is essential for (1) clinical dec…

cs.SD2021★ 2 cited

An Objective Evaluation Framework for Pathological Speech Synthesis

Bence Mark Halpern, Julian Fritsch, Enno Hermann +3

The development of pathological speech systems is currently hindered by the lack of a standardised objective evaluation framework. In this work, (1) we utilise existing detection a…

cs.SD2021

Pathological voice adaptation with autoencoder-based voice conversion

Marc Illa, Bence Mark Halpern, Rob van Son +2

In this paper, we propose a new approach to pathological speech synthesis. Instead of using healthy speech as a source, we customise an existing pathological speech sample to a new…

cs.SD2018★ 3 cited

Investigating the Effect of Music and Lyrics on Spoken-Word Recognition

Odette Scharenborg, Martha Larson

Background music in social interaction settings can hinder conversation. Yet, little is known of how specific properties of music impact speech processing. This paper addresses thi…