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Speaker Identification for Swiss German with Spectral and Rhythm Features


Lykartsis, Athanasios; Weinzierl, Stefan; Dellwo, Volker (2017). Speaker Identification for Swiss German with Spectral and Rhythm Features. In: 2017 AES International Conference on Semantic Audio (June 2017), Erlangen, June 2017 - June 2017.

Abstract

We present results of speech rhythm analysis for automatic speaker identification. We expand previous experiments using similar methods for language identification. Features describing the rhythmic properties of salient changes in signal components are extracted and used in an speaker identification task to determine to which extent they are descriptive of speaker variability. We also test the performance of state-of-the-art but simple-to-extract frame-based features. The paper focus is the evaluation on one corpus (swiss german, TEVOID) using support vector machines. Results suggest that the general spectral features can provide very good performance on this dataset, whereas the rhythm features are not as successful in the task, indicating either the lack of suitability for this task or the dataset specificity.

Abstract

We present results of speech rhythm analysis for automatic speaker identification. We expand previous experiments using similar methods for language identification. Features describing the rhythmic properties of salient changes in signal components are extracted and used in an speaker identification task to determine to which extent they are descriptive of speaker variability. We also test the performance of state-of-the-art but simple-to-extract frame-based features. The paper focus is the evaluation on one corpus (swiss german, TEVOID) using support vector machines. Results suggest that the general spectral features can provide very good performance on this dataset, whereas the rhythm features are not as successful in the task, indicating either the lack of suitability for this task or the dataset specificity.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
06 Faculty of Arts > Center for Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:June 2017
Deposited On:05 Jul 2017 08:19
Last Modified:28 Jul 2018 07:03
Publisher:Audio Engineering Society
ISBN:978-1-942220-15-2
Funders:Swiss National Science Foundation
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.17743/aesconf.2017.978-1-942220-15-2
Official URL:http://www.aes.org/e-lib/browse.cfm?elib=18753
Project Information:
  • : FunderSNSF
  • : Grant ID
  • : Project TitleSwiss National Science Foundation

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