Publication: Speech recognition in adverse conditions by humans and machines
Speech recognition in adverse conditions by humans and machines
Date
Date
Date
Citations
Patman, C., & Chodroff, E. (2024). Speech recognition in adverse conditions by humans and machines. JASA Express Letters, 4(11), 115204. https://doi.org/10.1121/10.0032473
Abstract
Abstract
Abstract
In the development of automatic speech recognition systems, achieving human-like performance has been a long-held goal. Recent releases of large spoken language models have claimed to achieve such performance, although direct comparison to humans has been severely limited. The present study tested L1 British English listeners against two automatic speech recognition systems (wav2vec 2.0 and Whisper, base and large sizes) in adverse listening conditions: speech-shaped noise and pub noise, at different signal-to-noise ratios, and record
Additional indexing
Creators (Authors)
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Item Type
Item Type
Item Type
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Citations
Patman, C., & Chodroff, E. (2024). Speech recognition in adverse conditions by humans and machines. JASA Express Letters, 4(11), 115204. https://doi.org/10.1121/10.0032473