Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Halpern, Bence Mark"'
Autor:
Halpern, Bence Mark, Tienkamp, Thomas, Huang, Wen-Chin, Violeta, Lester Phillip, Rebernik, Teja, de Visscher, Sebastiaan, Witjes, Max, Wieling, Martijn, Abur, Defne, Toda, Tomoki
This study investigates how surgical intervention for speech pathology (specifically, as a result of oral cancer surgery) impacts the performance of an automatic speaker verification (ASV) system. Using two recently collected Dutch datasets with para
Externí odkaz:
http://arxiv.org/abs/2406.06208
Improving severity preservation of healthy-to-pathological voice conversion with global style tokens
Autor:
Halpern, Bence Mark, Huang, Wen-Chin, Violeta, Lester Phillip, van Son, R. J. J. H., Toda, Tomoki
In healthy-to-pathological voice conversion (H2P-VC), healthy speech is converted into pathological while preserving the identity. The paper improves on previous two-stage approach to H2P-VC where (1) speech is created first with the appropriate seve
Externí odkaz:
http://arxiv.org/abs/2310.02570
Autor:
Halpern, Bence Mark, Rebernik, Teja, Tienkamp, Thomas, van Son, Rob, Brekel, Michiel van den, Wieling, Martijn, Witjes, Max, Scharenborg, Odette
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 and subjective evaluations demonstrate that the framework has acceptable
Externí odkaz:
http://arxiv.org/abs/2203.17072
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 improved dysarthric speech recognition. We compare key components of exis
Externí odkaz:
http://arxiv.org/abs/2201.04908
Autor:
Huang, Wen-Chin, Halpern, Bence Mark, Violeta, Lester Phillip, Scharenborg, Odette, Toda, Tomoki
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 decision making processes and alleviation of patient stress, (2) data aug
Externí odkaz:
http://arxiv.org/abs/2110.08213
Autor:
Halpern, Bence Mark, Fritsch, Julian, Hermann, Enno, van Son, Rob, Scharenborg, Odette, -Doss, Mathew Magimai.
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 and analysis techniques to propose a general framework for the consiste
Externí odkaz:
http://arxiv.org/abs/2107.00308
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 speaker's voice characteristics. This approach alleviates the evaluat
Externí odkaz:
http://arxiv.org/abs/2106.08427
Publikováno v:
In Computer Speech & Language March 2024 84
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 struggle with the large variation in speech due to e.g., gender, age,
Externí odkaz:
http://arxiv.org/abs/2103.15122
Oral cancer speech is a disease which impacts more than half a million people worldwide every year. Analysis of oral cancer speech has so far focused on read speech. In this paper, we 1) present and 2) analyse a three-hour long spontaneous oral cance
Externí odkaz:
http://arxiv.org/abs/2007.14205