Download Advanced Topics In Biometrics by Haizhou Li, Kar-Ann Toh, Liyuan Li PDF

By Haizhou Li, Kar-Ann Toh, Liyuan Li

Biometrics is the research of equipment for uniquely spotting people in line with a number of intrinsic actual or behavioral features. After a long time of study actions, biometrics, as a famous medical self-discipline, has complicated significantly either in sensible know-how and theoretical discovery to satisfy the expanding want of biometric deployments. during this publication, the editors supply either a concise and available advent to the sector in addition to a close assurance at the precise learn issues of their options in a large spectrum of biometrics examine starting from voice, face, fingerprint, iris, handwriting, human habit to multimodal biometrics. The contributions additionally current the pioneering efforts and cutting-edge effects, with precise specialise in functional concerns bearing on process improvement. This ebook is a worthwhile reference for validated researchers and it additionally supplies a superb advent for newbies to appreciate the demanding situations.

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It should be noted that the compensation of the session variability plays a critical role in system design. With the invention of JFA and NAP, the speaker recognition performance in mismatched acoustic environments has been greatly enhanced. Despite much success, many challenges remain ahead of us. The performance gap between the text-independent speaker recognition and text-dependent speaker recognition is still large. Applications of speaker recognition need to overcome the mismatch of acoustic environment between enrollment and testing, which is still a major hurdle, because most of the current compensation techniques work well only for known acoustic environments and with sufficient training data.

2006b), can be formed as shown in Fig. 4. With two speech utterances, a and b, two GMMs can be trained using MAP adaptation to obtain two sets of mean vectors, µa = {µa1 , µa2 , . . , µaM } and µb = {µb1 , µb2 , . . , µbM }. 20) As a linear transform is applied on the GMM supervectors, we call this kernel a linear kernel. , 2009) which shows improved performance. 5in Advanced Topics in Biometrics b1057-ch01 B. Ma and H. , 1995) are the two widely used techniques for speaker adaptation in larger vocabulary continuous speech recognition (LVCSR) systems.

1 Articulator-free features Articulator-free features describe the type of sound being produced — vowels, glides, consonants, and the particular types of consonants. 5in Advanced Topics in Biometrics Distinctive Features in the Representation of Speech and Acoustic Correlates b1057-ch02 35 features: vowel, glide, consonant, sonorant, continuant, and strident. ) are marked [+glide]. In this scheme, sounds are classified as glides if they are produced with narrowing in the vocal tract that is not significant enough to produce turbulence or a complete blockage in the oral tract.

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