Discrete-time signal processing
Discrete-time signal processing
Fundamentals of speech recognition
Fundamentals of speech recognition
The nature of statistical learning theory
The nature of statistical learning theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cepstral domain segmental feature vector normalization for noise robust speech recognition
Speech Communication - Special issue on robust speech recognition
An overview of the CAVE project research activities in speaker verification
Speech Communication - Speaker recognition and its commercial and forensic applications
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
A Two Stage Procedure for Phone Based Speaker Verfication
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Speaker identification via support vector classifiers
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
Improving a GMM speaker verification system by phonetic weighting
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Corpora for the evaluation of speaker recognition systems
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
A tutorial on text-independent speaker verification
EURASIP Journal on Applied Signal Processing
Improving speaker verification using ALISP-Based specific GMMs
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Exploiting high-level information provided by ALISP in speaker recognition
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
Automatic acoustic detection of the red palm weevil
Computers and Electronics in Agriculture
Quality-Based Score Normalization for Audiovisual Person Authentication
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Chapter 8: multimedia and multimodal information retrieval
Search Computing
Computers and Electrical Engineering
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Speech is often the only available modality to recognize the identity of a person (over the telephone, the radio, in the dark,. . . ). Automatic speaker recognition has been studied for several decades. In this chapter the state of the current text-independant speaker verification research is reviewed. Basic principles of speaker recognition are first summarized. The choice of the speech features and speaker models are mostly related to the individual characteristics (variability) of the speakers' voices. Besides the speaker's variability, we are faced with other factors, such as microphone or transmission channel variabilities, that degrade the performances of speaker verification algorithms. Some of these issues are illustrated on recent NIST-2005 and 2006 speaker recognition evaluation campaigns. The field of speaker verification is also reviewed in relation to speech recognition, focusing on the usage of this new source of information. This relationship has to be seen as an important issue in the development of new services based on speaker and speech recognition. An overview of recent results in this field is given. More particularly, examples of combining baseline Gaussian Mixture Models (GMM) with high-level information extracted with data-driven speech segmentation are reported.