NDLI: Estimation of the invariant and variant characteristics in speech articulation and its application to speaker identification

Content Provider	IEEE Xplore Digital Library
Author	Prasad, A. Periyasamy, V. Ghosh, P.K.
Copyright Year	2015
Description	Author affiliation: Manipal Inst. of Technol., Manipal, India (Prasad, A.) \|\| Dept. of Electr. Eng., Indian Inst. of Sci. (IISc), Bangalore, India (Periyasamy, V.; Ghosh, P.K.)
Abstract	Speech articulation varies across speakers for producing a speech sound due to the differences in their vocal tract morphologies, though the speech motor actions are executed in terms of relatively invariant gestures [1]. While the invariant articulatory gestures are driven by the linguistic content of the spoken utterance, the component of speech articulation that varies across speakers reflects speaker-specific and other paralinguistic information. In this work, we present a formulation to decompose the speech articulation from multiple speakers into the variant and invariant aspects when they speak the same sentence. The variant component is found to be a better representation for discriminating speakers compared to the speech articulation which includes the invariant part. Experiments with real-time magnetic resonance imaging (rtMRI) videos of speech production from multiple speakers reveal that the variant component of speech articulation yields a better frame-level speaker identification accuracy compared to the speech articulation as well as acoustic features by 29.9% and 9.4% (absolute) respectively.
Starting Page	4265
Ending Page	4269
File Size	2070696
Page Count	5
File Format	PDF
ISBN	9781467369978
DOI	10.1109/ICASSP.2015.7178775
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-19
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Subspace constraints Acoustics Accuracy Speech processing Estimation Linear programming speaker identification speech articulation invariant gestures
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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