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pro vyhledávání: '"Ismail Rasim Ulgen"'
Publikováno v:
Speech and Computer ISBN: 9783030878016
SPECOM
SPECOM
For the task of speaker recognition from audio, it is known that speakers experience different levels of error rates. In this work, predicting the proneness to false alarm and false reject of a given speaker embedding is investigated. Although exact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50fd0eeef9ec79f8358530218e96cea4
https://doi.org/10.1007/978-3-030-87802-3_74
https://doi.org/10.1007/978-3-030-87802-3_74
Autor:
Murat Saraclar, Ismail Rasim Ulgen
Publikováno v:
SIU
In this study, a robust speech activity detection (SAD) system consisting of a neural network classifier and a speaker diarization module that works under noisy conditions is designed. The performance of baseline SAD systems degrades significantly un