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Stable and Unstable Intervals as a Basic Segmentation Procedure of the Speech Signal

Glavitsch, Ulrike; He, Lei; Dellwo, Volker (2015). Stable and Unstable Intervals as a Basic Segmentation Procedure of the Speech Signal. In: INTERSPEECH 2015, Dresden, 6 September 2015 - 10 September 2015. s.n., 31-35.

Abstract

The concept of acoustically stable and unstable intervals to structure continuous speech is introduced. We present a method to compute stable intervals efficiently and reliably as a bottom-up approach at an early processing stage. We argue that such intervals stand in close relation to the rhythm of speech as they contribute to the overall temporal organization of the speech production process and the acoustic signal (stable intervals = intervals of reduced movement of certain articulators; unstable intervals = intervals of enhanced movement of certain articulators). To test the relationship of stability intervals with speech rhythm we investigated the between-speaker variability of stable and unstable intervals in the TEVOID corpus. Results revealed that significant between-speaker variability exists. We hypothesize from our findings that the basic segmentation of speech into stable and unstable intervals is a process that might play a role in human perception and processing of speech.

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Department of Comparative Language Science
06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
490 Other languages
890 Other literatures
410 Linguistics
Scopus Subject Areas:Social Sciences & Humanities > Language and Linguistics
Physical Sciences > Human-Computer Interaction
Physical Sciences > Signal Processing
Physical Sciences > Software
Physical Sciences > Modeling and Simulation
Language:English
Event End Date:10 September 2015
Deposited On:08 Dec 2016 15:26
Last Modified:15 Apr 2024 01:39
Publisher:s.n.
OA Status:Green

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