Gaussian mixture model is the most widely used approach in the field of speech recognition and speaker recognition
The task of identifying the regions according to given speakers is known as a speaker tracking task and was first defined in 1999 NIST Speaker Recognition
technology uses a segment of the speaker's speech.
The evaluation covered several basic tasks involved in text-independent speaker recognition
and included eight different tests.
Microsoft in mid-December introduced a private preview of its Custom Recognition Intelligence Service (CRIS), a speech-to-text service, and a public preview of its Speaker Recognition
application programming interface (API).
Mel Frequency Cepstral Coefficients (MFCCs) are a feature widely used in automatic speech and speaker recognition
Mel Frequency Cepstral Coefficients (MFCCs) are widely used as features for automatic speaker recognition
Intended to support researchers and practitioners in their efforts to enhance children's hearing and speech through efficient signal processing algorithms, this includes 14 articles on audio and speech signal processing technology, speech and audio watermarking methods, adaptive filter algorithms, feature extraction algorithms and speaker recognition
NIST organized and hosted the 2000 NIST Speaker Recognition
Evaluation Workshop in June 2000, in Linthicum, MD.
Ieri, oggi, domani: Speaker recognition
yesterday, today, and tomorrow.
Objective: "Recently, automatic speech and speaker recognition
has matured to the degree that it entered the daily lives of thousands of Europe~s citizens, e.
Other techniques of biometric information processing, using genetic algorithms might include speaker recognition
(most works in the area of speech and speaker recognition
focus on speech in noiseless environments, but in  Neuro-Genetic Hybrid algorithm with cepstral based features has been used to improve the performance of the speaker identification under noisy environment.
The Multimodal Challenge submissions demonstrated a variety of user input technologies, including keyboard, speech recognition, speaker recognition
, face recognition, and special input devices," says Jim Larson, SpeechTEK Europe program chair and a member of the Multimodal Challenge judging panel.