講演抄録/キーワード |
講演名 |
2019-03-14 13:30
[ポスター講演]Initial analysis of emotional speech acted in noise ○Yi Zhao(NII)・Atsushi Ando(NTT)・Shinji Takaki・Junichi Yamagishi(NII)・Satoshi Kobashikawa(NTT) EA2018-120 SIP2018-126 SP2018-82 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
Speakers usually adjust their way of talking in noisy environments involuntarily for effective communication, this adaptation is known as the Lombard effect. Although speech accompanying the Lombard effect can improve the intelligibility of speaker's voice, the changes in acoustic features such as fundamental frequency (F0), speech intensity, and spectral tilt caused by the Lombard effect may also affect the listener's judgment on emotional content. To the best of our knowledge, there are almost no published studies on the influence of the Lombard effect in emotional speech. Therefore, we recorded parallel emotional speech waveforms uttered by 12 speakers under both quiet and adverse conditions in a professional recording studio in order to explore how the Lombard effect interacts with emotional speech. By analyzing confusion matrices and acoustic features, we aim to answer the following questions: (1) Can speakers express their emotions correctly even under adverse conditions? (2) Can listeners recognize the emotion contained in speech signals even under noise? (3) Will the speaker make some changes when he/she recognizes that the emotion is not transmitted to the listener correctly? (4) How does emotional speech uttered in noise differ from emotional speech uttered in quiet conditions in terms of acoustic characteristic? |
キーワード |
(和) |
/ / / / / / / |
(英) |
Lombard effect / noise / emotional speech / database recording / auditory detection / acoustic analysis / / |
文献情報 |
信学技報, vol. 118, no. 497, SP2018-82, pp. 125-130, 2019年3月. |
資料番号 |
SP2018-82 |
発行日 |
2019-03-07 (EA, SIP, SP) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
EA2018-120 SIP2018-126 SP2018-82 |
|