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researcher

M. Hasegawa-Johnson

99 papers hereh-index 4411k citations488 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author66
  • last author29

Across the 96 of 99 papers where every author was matched, so the position is known.

fields
  • eess.AS40
  • cs.CL26
  • cs.SD10
  • cs.CV8
  • cs.LG5
  • cs.AI3

identity via Semantic Scholar / OpenAlex

activity
20112026
most citedJoint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation

479 citations · 1.2k across the 92 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.CL2019

Fast transcription of speech in low-resource languages

Mark Hasegawa-Johnson, Camille Goudeseune, Gina-Anne Levow

We present software that, in only a few hours, transcribes forty hours of recorded speech in a surprise language, using only a few tens of megabytes of noisy text in that language,…

q-bio.QM2019★ 1 cited

The role of cue enhancement and frequency fine-tuning in hearing impaired phone recognition

Ali Abavisani, Mark A Hasegawa-Johnson

A speech-based hearing test is designed to identify the susceptible error-prone phones for individual hearing impaired (HI) ear. Only robust tokens in the experiment noise levels h…

eess.AS2019★ 195 cited

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Kaizhi Qian, Yang Zhang, Shiyu Chang +2

Non-parallel many-to-many voice conversion, as well as zero-shot voice conversion, remain under-explored areas. Deep style transfer algorithms, such as generative adversarial netwo…

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