Prosodic Features for Speaker Recognition

Mary, Leena

doi:10.1007/978-1-4614-0263-3_13

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Prosodic Features1

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2018

2023

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Cited by 3 publications

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“…For longer-term modeling, F0 contour can be segmented and presented by a set of parameters associated with each segment [1,2,160,204,209]. The segments may be syllables obtained using automatic speech recognition (ASR) system [204].…”

Section: Prosodic Featuresmentioning

confidence: 99%

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

Kinnunen¹,

Li²

2010

Speech Communication

1,240

706

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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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