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Mark C. Fuhs

3 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.SD2
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedLow-resource Low-footprint Wake-word Detection using Knowledge Distillation

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SD2024

Investigating Confidence Estimation Measures for Speaker Diarization

Anurag Chowdhury, Abhinav Misra, Mark C. Fuhs +1

Speaker diarization systems segment a conversation recording based on the speakers' identity. Such systems can misclassify the speaker of a portion of audio due to a variety of fac…

cs.SD2024★ 1 cited

Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition

William Ravenscroft, George Close, Stefan Goetze +4

One solution to automatic speech recognition (ASR) of overlapping speakers is to separate speech and then perform ASR on the separated signals. Commonly, the separator produces art…

eess.AS2022★ 1 cited

Low-resource Low-footprint Wake-word Detection using Knowledge Distillation

Arindam Ghosh, Mark Fuhs, Deblin Bagchi +2

As virtual assistants have become more diverse and specialized, so has the demand for application or brand-specific wake words. However, the wake-word-specific datasets typically u…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.