Bence Mark Halpern

1. Quantifying Bias in Automatic Speech Recognition
   2021/03/28 by Siyuan Feng, Olya Kudina, Feng, Siyuan +5 · 2 citations
   Computer Science · Psychology · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Phonetics and Phonology Research #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
2. Improving severity preservation of healthy-to-pathological voice conversion with global style tokens
   2023/10/04 by Bence Mark Halpern, Halpern, Bence Mark, Wen-Chin Huang +7 · 3 citations
   Computer Science · Health Professions · Medicine · #Audio and Speech Processing (eess.AS) #Dysphagia Assessment and Management #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.7 #Sound (cs.SD) #Speech Recognition and Synthesis #Voice and Speech Disorders #electronic engineering #information engineering
3. Quantifying the effect of speech pathology on automatic and human speaker verification
   2024/06/10 by Bence Mark Halpern, Halpern, Bence Mark, Thomas Tienkamp +17 · 1 citation
   Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.7 #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and dialogue systems #electronic engineering #information engineering