I’m a machine learning researcher focusing on speech technology, and especially speech technolology for pathological speech. I’m doing a PhD at the Netherlands Cancer Institute as an external student of the University of Amsterdam. I’m also visiting researcher at TU Delft.

Current work

Currently I’m doing my PhD at the Netherlands Cancer Institute as an external student of the University of Amsterdam. I’m working on pathological speech synthesis in order to help clinical decisions here in the Antoni van Leeuwenhoek hospital for oral cancer patients.

Conference proceedings

Pathological voice adaptation with autoencoder-based voice conversion
Marc Illa, Bence Mark Halpern*, Rob van Son, Laureano-Moro Velazquez, Odette Scharenborg
Paper

An Objective Evaluation Framework for Pathological Speech Synthesis
Bence Mark Halpern<, Julian Fritsch, Enno Hermann, Rob van Son, Odette Scharenborg, Mathew.-Magimai Doss
Paper

Detecting and analysing spontaneous oral cancer speech in the wild
Bence Mark Halpern, Rob van Son, Michiel van den Brekel, Odette Scharenborg
Paper

Residual networks for resisting noise: analysis of an embeddings-based spoofing countermeasure
Bence Mark Halpern, Finnian Kelly, Anil Alexander
Paper

Thesis

Sparse Bayesian Regression for Identification of Gene Regulatory Networks
Supervisors: Dr. Zoltan Tuza, Dr. Wei Pan, Dr. Guy-Bart Stan
Master’s Thesis

Conference abstracts

Speaker-informed speech separation and enhancement
Bence Mark Halpern, Finnian Kelly, Anil Alexander
PPTX PDF

Preprints

Quantifying Bias in Automatic Speech Recognition
Siyuan Feng, Olya Kudina, Bence Mark Halpern, Odette Scharenborg
Paper