Extraction of expression from Japanese speech based on time-frequency and fractal features

Montri Phothisonothai; Yasunori Arita; Kat Watanabe

doi:10.1109/ECTICon.2013.6559535

Extraction of expression from Japanese speech based on time-frequency and fractal features

Montri Phothisonothai, Yasunori Arita, Kat Watanabe

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

The extraction method based on time-frequency and fractal features was proposed to analyze intonations from Japanese speech signal. Two parameters were presented to reveal different feature patterns: Peak spectrum (F_max) and Fractal dimension (FD) trajectories. The F_max and FD were computed by using short-time Fourier transform (STFT) and Higuchi's method, respectively. Speech data recorded from 15 Japanese utterances, 4 different ways of expression (accosting, wholehearted, normal, and uninterested). The results showed that the proposed features could extract different intonations statistically in comparison with baseline intonation.

Original language	English
Title of host publication	2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013
DOIs	https://doi.org/10.1109/ECTICon.2013.6559535
Publication status	Published - 2013 Sept 2
Externally published	Yes
Event	2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013 - Krabi, Thailand Duration: 2013 May 15 → 2013 May 17

Publication series

Name	2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013

Other

Other	2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013
Country/Territory	Thailand
City	Krabi
Period	13/5/15 → 13/5/17

Keywords

Expression
Fractals
Intonation
Physiological reaction
Speech
Time-frequency

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ECTICon.2013.6559535

Cite this

Phothisonothai, M., Arita, Y., & Watanabe, K. (2013). Extraction of expression from Japanese speech based on time-frequency and fractal features. In 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013 Article 6559535 (2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013). https://doi.org/10.1109/ECTICon.2013.6559535

Extraction of expression from Japanese speech based on time-frequency and fractal features. / Phothisonothai, Montri; Arita, Yasunori; Watanabe, Kat.
2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013. 2013. 6559535 (2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Phothisonothai, M, Arita, Y & Watanabe, K 2013, Extraction of expression from Japanese speech based on time-frequency and fractal features. in 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013., 6559535, 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013, 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013, Krabi, Thailand, 13/5/15. https://doi.org/10.1109/ECTICon.2013.6559535

Phothisonothai M, Arita Y, Watanabe K. Extraction of expression from Japanese speech based on time-frequency and fractal features. In 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013. 2013. 6559535. (2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013). doi: 10.1109/ECTICon.2013.6559535

Phothisonothai, Montri ; Arita, Yasunori ; Watanabe, Kat. / Extraction of expression from Japanese speech based on time-frequency and fractal features. 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013. 2013. (2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2013).

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title = "Extraction of expression from Japanese speech based on time-frequency and fractal features",

abstract = "The extraction method based on time-frequency and fractal features was proposed to analyze intonations from Japanese speech signal. Two parameters were presented to reveal different feature patterns: Peak spectrum (Fmax) and Fractal dimension (FD) trajectories. The Fmax and FD were computed by using short-time Fourier transform (STFT) and Higuchi's method, respectively. Speech data recorded from 15 Japanese utterances, 4 different ways of expression (accosting, wholehearted, normal, and uninterested). The results showed that the proposed features could extract different intonations statistically in comparison with baseline intonation.",

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AU - Phothisonothai, Montri

AU - Arita, Yasunori

AU - Watanabe, Kat

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N2 - The extraction method based on time-frequency and fractal features was proposed to analyze intonations from Japanese speech signal. Two parameters were presented to reveal different feature patterns: Peak spectrum (Fmax) and Fractal dimension (FD) trajectories. The Fmax and FD were computed by using short-time Fourier transform (STFT) and Higuchi's method, respectively. Speech data recorded from 15 Japanese utterances, 4 different ways of expression (accosting, wholehearted, normal, and uninterested). The results showed that the proposed features could extract different intonations statistically in comparison with baseline intonation.

AB - The extraction method based on time-frequency and fractal features was proposed to analyze intonations from Japanese speech signal. Two parameters were presented to reveal different feature patterns: Peak spectrum (Fmax) and Fractal dimension (FD) trajectories. The Fmax and FD were computed by using short-time Fourier transform (STFT) and Higuchi's method, respectively. Speech data recorded from 15 Japanese utterances, 4 different ways of expression (accosting, wholehearted, normal, and uninterested). The results showed that the proposed features could extract different intonations statistically in comparison with baseline intonation.

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KW - Physiological reaction

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Extraction of expression from Japanese speech based on time-frequency and fractal features

Abstract

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Keywords

ASJC Scopus subject areas

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