55 citations · 63 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…
Quantifying Bias in Automatic Speech Recognition
Siyuan Feng, Olya Kudina, Bence Mark Halpern +1
Automatic speech recognition (ASR) systems promise to deliver objective interpretation of human speech. Practice and recent evidence suggests that the state-of-the-art (SotA) ASRs…