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Fuzzy Logic Based UPFC Controller for Voltage Stability and Reactive Control of a Stand-Alone Hybrid System Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Repetition Detection in Stuttered Speech

Authors : Pravin B. Ramteke, Shashidhar G. Koolagudi, Fathima Afroz

Published in: Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics

Publisher: Springer India

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Abstract

This paper mainly focuses on detection of repetitions in stuttered speech. The stuttered speech signal is divided into isolated units based on energy. Mel-frequency cepstrum coefficients (MFCCs), formants and shimmer are used as features for repetition recognition. These features are extracted from each isolated unit. Using Dynamic Time Warping (DTW) the features of each isolated unit are compared with those subsequent units within one second interval of speech. Based on the analysis of scores obtained from DTW a threshold is set, if the score is below the set threshold then the units are identified as repeated events. Twenty seven seconds of speech data used in this work, consists of 50 repetition events. The result shows that the combination of MFCCs, formants and shimmer can be used for the recognition of repetitions in stuttered speech. Out of 50 repetitions, 47 are correctly identified.

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previous chapter Rhythm and Timbre Analysis for Carnatic Music Processing
next chapter Removal of Artifacts from Electrocardiogram Using Efficient Dead Zone Leaky LMS Adaptive Algorithm
Literature
1.
Riper, V.: The Nature of Stuttering. Prentice Hall, New Jersey (1971)
2.
Kully, D., Boerg, E.: An investigation of inter-clinic agreement in the identification of fluent and stuttered syllables. J. Fluency Disord. 13, 309–318 (1988)CrossRef
3.
Conture, E.G.: Stuttering Englewood cliffs, New Jersey: Prentice-Hall, 2nd edn. (1990)
4.
Zhang, J., Dong, B., Yan, Y.: A computer-assist algorithm to detect repetitive stuttering automatically. In: International Conference on Asian Language Processing, pp. 249–252 (2013)
5.
Ravikumar, K.M., Balakrishna, R., Rajagopal, R., Nagaraj, H.C.: Automatic detection of syllable repetition in read speech for objective assessment of stuttered disfluencies. Proce. World Acad. Sci. 2, 220–223 (2008)
6.
Palfy, J., Pospichal, J.: Recognition of repetitions using support vector machines. In: Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA), 2011, pp. 1–6 (2011)
7.
Chee, L.S., Ai, O.C., Hariharan, M., Yaacob, S.: Automatic detection of prolongations and repetitions using LPCC. In: 2009 International Conference for Technical Postgraduates (TECHPOS). pp. 1–4 (2009)
8.
Ai, O.C., Hariharan, M., Yaacob, S., Chee, L.S.: Classification of speech dysfluencies with MFCC and LPCC features. J. Med. Syst. 39, 2157–2165 (2012)
9.
Ying, G.S., Mitchell, C.D., Jamieson, L.H.: Endpoint detection of isolated utterances based on a modified teager energy measurement. International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 732–735 (1993)
10.
11.
Welling, L., Ney, H.: Formant estimation for speech recognition. IEEE Transactions on Speech Audio Processing, vol. 6, pp. 36–48 (1998)CrossRef
12.
Li, X., Tao, J., Johnson, M.T., Soltis, J., Savage, A., Kirsten, M.L., Newman, J.D.: Stress and emotion classification using Jitter and Shimmer features. In: IEEE International Conference on Acoustics, Speech and Signal Processing, 2007, vol. 4., pp. IV–1081. IEEE (2007)
13.
Keogh, E., Ratanamahatana, C.A.: Exact indexing of dynamic time warping. Knowl. Inf. Syst. 7, 358–386 (2005)CrossRef
Metadata
Title
Repetition Detection in Stuttered Speech
Authors
Pravin B. Ramteke
Shashidhar G. Koolagudi
Fathima Afroz
Copyright Year
2016
Publisher
Springer India
Book
Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics

Print ISBN: 978-81-322-2537-9

Electronic ISBN: 978-81-322-2538-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2538-6_63

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