Presentation | 2018-06-29 Analysis of speech-to-texture sentiment association characteristics Win Thuzar Kyaw, Yoshinori Sagisaka, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Aiming at speech visualization using textures or finding texture generation scheme from sentiment information embedded in speech, we analyzed speech-to-texture sentiment association characteristics in this study. For the speech, we used single vowel utterances with three different phonations (modal, creaky and breathy) to understand voice source differences and asked 40 subjects to select a texture image among 36 texture images based on their perceptual impressions after listening to each vowel sound. For the scientific understanding of cross-modal correlations between speech and texture, we employed speech source features representing voice source characteristics and image texture features showing textural characteristics. After conducting sentiment analysis, we have found significant correlations between voice source acoustic parameters and textural parameters which suggest a possibility for visualization of sentiment information embedded in speech. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech-to-texture sentiment correlationphonation differencesvoice source featurestextural features |
Paper # | PRMU2018-30,SP2018-10 |
Date of Issue | 2018-06-21 (PRMU, SP) |
Conference Information | |
Committee | PRMU / SP |
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Conference Date | 2018/6/28(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Shinichi Sato(NII) / Yoichi Yamashita(Ritsumeikan Univ.) |
Vice Chair | Yoshihisa Ijiri(Omron) / Toru Tamaki(Hiroshima Univ.) / Akinobu Ri(Nagoya Inst. of Tech.) |
Secretary | Yoshihisa Ijiri(NEC) / Toru Tamaki(Osaka Univ.) / Akinobu Ri(Kyoto Univ.) |
Assistant | Go Irie(NTT) / Yoshitaka Ushiku(Univ. of Tokyo) / Tomoki Koriyama(Tokyo Inst. of Tech.) / Satoshi Kobashikawa(NTT) |
Paper Information | |
Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Speech |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of speech-to-texture sentiment association characteristics |
Sub Title (in English) | |
Keyword(1) | speech-to-texture sentiment correlationphonation differencesvoice source featurestextural features |
1st Author's Name | Win Thuzar Kyaw |
1st Author's Affiliation | Waseda University(Waseda Univ.) |
2nd Author's Name | Yoshinori Sagisaka |
2nd Author's Affiliation | Waseda University(Waseda Univ.) |
Date | 2018-06-29 |
Paper # | PRMU2018-30,SP2018-10 |
Volume (vol) | vol.118 |
Number (no) | PRMU-111,SP-112 |
Page | pp.pp.47-52(PRMU), pp.47-52(SP), |
#Pages | 6 |
Date of Issue | 2018-06-21 (PRMU, SP) |