An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis

Intonation generation in expressive speech such as storytelling is essential to produce high quality Malay language expressive speech synthesizer. Intonation generation, for instance explicit control, has shown good performance in terms of intelligibility with reasonably natural speech; thus, it was...

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Published in:Journal of Information and Communication Technology
Main Author: Ramli I.; Jamil N.; Seman N.
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116819844&doi=10.32890%2fjict2021.20.4.2&partnerID=40&md5=8cc180cb3460be37eb39a90fa5701e19
id 2-s2.0-85116819844
spelling 2-s2.0-85116819844
Ramli I.; Jamil N.; Seman N.
An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis
2021
Journal of Information and Communication Technology
20
4
10.32890/jict2021.20.4.2
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116819844&doi=10.32890%2fjict2021.20.4.2&partnerID=40&md5=8cc180cb3460be37eb39a90fa5701e19
Intonation generation in expressive speech such as storytelling is essential to produce high quality Malay language expressive speech synthesizer. Intonation generation, for instance explicit control, has shown good performance in terms of intelligibility with reasonably natural speech; thus, it was selected in this research. This approach modifies the prosodic features, such as pitch contour, intensity, and duration, to generate the intonation. However, modification of pitch contour remains a problem because the desired pitch contour is not achieved. This paper formulated an improved pitch contour algorithm to develop a modified pitch contour resembling the natural pitch contour. In this work, the syllable pitch contours of nine storytellers were extracted from their storytelling speeches to create an expressive speech syllable dataset called STORY_DATA. All the shapes of pitch contours from STORY_DATA were analyzed and clustered into the standard six main pitch contour clusters for storytelling. The clustering was performed using one minus the Pearson product moment correlation. Then, an improved iterative two-step sinusoidal pitch contour formulation was introduced to modify the pitch contours of a neutral speech into an expressive pitch contour of natural speeches. Overall, the improved pitch contour formulation was able to achieve 93 percent high correlated matches, indicating the high resemblance as compared to the previous pitch contour formulation at 15 percent. Therefore, the improved formula can be used in a text-to-speech (TTS) synthesizer to produce a more natural expressive speech. The paper also discovered unique expressive pitch contours in the Malay language that need further investigations in the future. © 2021. Journal of Information and Communication Technology. All rights reserved.
Universiti Utara Malaysia Press
1675414X
English
Article

author Ramli I.; Jamil N.; Seman N.
spellingShingle Ramli I.; Jamil N.; Seman N.
An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis
author_facet Ramli I.; Jamil N.; Seman N.
author_sort Ramli I.; Jamil N.; Seman N.
title An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis
title_short An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis
title_full An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis
title_fullStr An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis
title_full_unstemmed An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis
title_sort An Iterated Two-Step Sinusoidal Pitch Contour Formulation for Expressive Speech Synthesis
publishDate 2021
container_title Journal of Information and Communication Technology
container_volume 20
container_issue 4
doi_str_mv 10.32890/jict2021.20.4.2
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116819844&doi=10.32890%2fjict2021.20.4.2&partnerID=40&md5=8cc180cb3460be37eb39a90fa5701e19
description Intonation generation in expressive speech such as storytelling is essential to produce high quality Malay language expressive speech synthesizer. Intonation generation, for instance explicit control, has shown good performance in terms of intelligibility with reasonably natural speech; thus, it was selected in this research. This approach modifies the prosodic features, such as pitch contour, intensity, and duration, to generate the intonation. However, modification of pitch contour remains a problem because the desired pitch contour is not achieved. This paper formulated an improved pitch contour algorithm to develop a modified pitch contour resembling the natural pitch contour. In this work, the syllable pitch contours of nine storytellers were extracted from their storytelling speeches to create an expressive speech syllable dataset called STORY_DATA. All the shapes of pitch contours from STORY_DATA were analyzed and clustered into the standard six main pitch contour clusters for storytelling. The clustering was performed using one minus the Pearson product moment correlation. Then, an improved iterative two-step sinusoidal pitch contour formulation was introduced to modify the pitch contours of a neutral speech into an expressive pitch contour of natural speeches. Overall, the improved pitch contour formulation was able to achieve 93 percent high correlated matches, indicating the high resemblance as compared to the previous pitch contour formulation at 15 percent. Therefore, the improved formula can be used in a text-to-speech (TTS) synthesizer to produce a more natural expressive speech. The paper also discovered unique expressive pitch contours in the Malay language that need further investigations in the future. © 2021. Journal of Information and Communication Technology. All rights reserved.
publisher Universiti Utara Malaysia Press
issn 1675414X
language English
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