Text-independent speaker verification with dynamic trajectory model

This paper gives an overview of automatic speaker recognition technology, with an emphasis on text-independent recognition. Speaker recognition has been studied actively for several decades. We give an overview of both the classical and the state-of-the-art methods. We start with the fundamentals of automatic speaker recognition, concerning feature extraction and speaker modeling. We elaborate advanced computational techniques to address robustness and session variability. The recent progress from vectors towards supervectors opens up a new area of exploration and represents a technology trend. We also provide an overview of this recent development and discuss the evaluation methodology of speaker recognition systems. We conclude the paper with discussion on future directions.

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Speaker Verification Using A Novel Set of Dynamic Features

Nosratighods

Ambikairajah

Epps

2006

18th International Conference on Pattern Recognition (ICPR'06)

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Dynamic cepstral features such as delta and deltadelta cepstra have been shown to play an essential role in capturing the transitional characteristics of the speech signal. In this paper, a set of new dynamic features for speaker verification system are introduced. These new features, known as Delta Cepstral Energy (DCE) and Delta-Delta Cepstral Energy (DDCE), can compactly represent the information in the delta and delta-delta cepstra. Further, it is shown theoretically that DCE carries the same information as the delta cepstrum using an entropy criterion. Experimental speaker verification results on the TIMIT database support the theoretical result, showing a significant improvement in terms of equal error rate compared with conventional feature extraction methods using delta and delta-delta cepstra.

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Text-independent speaker verification with dynamic trajectory model

Cited by 4 publications

References 8 publications

Modeling prosodic differences for speaker recognition

Modeling prosodic differences for speaker recognition

An overview of text-independent speaker recognition: From features to supervectors

Speaker Verification Using A Novel Set of Dynamic Features

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