speaker recognition


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speaker recognition

The ability to recognize a person by his or her spoken voice. This is used for security purposes, not voice recognition. Like voice recognition, however, the user is required to train the system by speaking certain phrases. Contrast with voice recognition. See biometrics.
References in periodicals archive ?
This work can be extended by including speaker recognition for the calculated features.
Speaker recognition can be divided into two types of speaker recognition or identification and speaker verification.
The market intelligence firm forecasts that consumer applications such as mobile device authentication will represent the largest opportunity for speaker recognition technology adoption, with strong growth in other use cases as disparate as patient medical record access, wearable device authentication and commands, government IT system protection, call centers, and automotive controls, among many others.
Kishore, "Source and system features for speaker recognition using AANN models", in Proc.
Keywords: speaker diarization, speech detection, speaker clustering, audio indexing, speaker recognition, speaker tracking
As well as the eight staff in Bangor, there is a team at the University of Lampeter maintaining an online Welsh- English dictionary, and one full-time academic working on speaker recognition and biometrics at Swansea University.
Waibel, "Applications of LDA to Speaker Recognition," presented at the International Conference on Speech and Language Processing, Beijing, China, October 2000; retrieved February 10, 2002, from http://www.
The seven leading biometric technologies include facial recognition, fingerprint recognition, hand geometry, iris recognition, retina recognition, signature recognition, and speaker recognition.
Automated speaker recognition systems that incorporate Pashtu, Urdu, Farsi, Arabic dialects, and other Middle Eastern and Central Asian languages.
Technologies include video enhancement, time line analysis software and speaker recognition.
A possible performance breakthrough by a NIST scientist involving significant reduction in error rates was reported at the 2001 Speaker Recognition Workshop, held in May 2001, in Linthicum, MD.
The holder provides a voice recognition device with speaker recognition to obtain a written transcript timecode from a sound file.