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2014 Fiscal Year Final Research Report

Advanced speech analysis, modification and synthesis framework based on auditory information representations

Research Project

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Project/Area Number 24300073
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypePartial Multi-year Fund
Section一般
Research Field Perception information processing/Intelligent robotics
Research InstitutionWakayama University

Principal Investigator

KAWAHARA Hideki  和歌山大学, システム工学部, 教授 (40294300)

Co-Investigator(Kenkyū-buntansha) IRINO Toshio  和歌山大学, システム工学部, 教授 (20346331)
NISIMURA Ryuichi  和歌山大学, システム工学部, 助教 (00379611)
TODA Tomoki  奈良先端科学術大学院大学, 情報科学研究科, 准教授 (90403328)
BANNO Hideki  名城大学, 理工学部, 准教授 (20335003)
SAKAKIBARA Ken-Ichi  北海道医療大学, 心理科学部, 准教授 (80396168)
MORISE Masanori  山梨大学, 大学院医学工学総合研究部, 助教 (60510013)
Research Collaborator SCHWEINBERGER Stefan R.  Friedrich Schiller University of Jena(独), 教授
SKUK Verena G.  Friedrich Schiller University of Jena(独), 研究員
Project Period (FY) 2012-04-01 – 2015-03-31
Keywords音声情報処理 / 音声分析 / 音声変換 / 標本化 / テクスチャ / 発声評価 / 音声訓練
Outline of Final Research Achievements

Speech consists of richer information than texts. They are non-linguistic information, such as individuality, emotional and physical states, and para-linguist information, which represents intention and/or expression using prosody. In cases of extreme voicing found in screaming, shout and artistic voice activities, conventional signal processing methods sometimes fail to handle unusual physical attributes found in such voices. New speech signal processing frameworks, which are capable of analyzing, modifying and synthesizing these speech sounds, were invented in this project. They are also implemented on tablets and used in various applications. The radically new formulation of voice morphing is a remarkable important achievement of this project, which provides unique and strong basis for investigating quantitative relations between physical attributes and psychological attributes in a mathematically sound manner. In addition, it emerged a prospective speech processing framework.

Free Research Field

聴覚メディア処理

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Published: 2016-06-03  

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