Automatic speaker recognition systems are maturing and databases have been designed to specifically compare algorithms and results to target error rates.
Using four combination lock phrases, speaker identification error rates are obtained at. 0.19% for males and 0.31% for females. By defining a test hypothesis, a ...
Automatic speaker recognition systems are maturing and databases have been designed to specifically compare algorithms and results to target error rates.
TL;DR: This work examines the use of speaker-dependent monophone models to meet the requirements of automatic speaker recognition systems and defines a test ...
Cohort selection and word grammar effects for speaker recognition · Free Related PDFs · FREE RELATED PAPERS · RELATED TOPICS.
This model provides greater flexibility than the Cohort Model and allows for mispronounced and misperceived words to be correctly recognized.
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Oct 22, 2024 · This model provides greater flexibility than the Cohort Model and allows for mispronounced and misperceived words to be correctly recognized.
Cohort normalization is a method for normalizing the scores in speaker verification in order to reduce undesirable variation.
Cohort selection and word grammar effects for speaker recognition · J. ColombiD. RuckT. AndersonS. RogersM. Oxley. Computer Science. 1996 IEEE International ...
Oct 16, 2007 · Speaker recognition is the process of automatically recognizing who is speaking by using the speaker-specific information included in speech waves.