第22回ロボット聴覚特集 - 奥乃研究室 - 京都大学

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ABAB ABAB AB ABIRC ABABA rainy B1) Erickson, D., “Expressive speech: production, perception and A7 application to speech synthesis,” Acoust. Sci. & Tech., Vol. 26 (4), B317-325, 2005.A2) Maekawa, K., “Production and perception of ‘Paralinguistic’B information,” Proc. Speech Prosody 2004, 367-374, 2004.3) Klasmeyer, G., Sendlmeier, W. F., Voice and EmotionalStates. In Voice Quality Measurement, Singular ThomsonLearning. Ch. 15, pp. 339-358, 2000.4) Gobl, C., Ní Chasaide, A., The role of voice quality incommunicating emotion, mood and attitude. SpeechCommunication 40, pp. 189-212, 2003.5) Hess, W., “Pitch Determination of Speech Signals”, Vol. 3of Springer Series of Information Sciences, Springer-Verlag,Berlin, Heidelberg, New York, 1983.6) Laver, J., Phonatory settings. In The phonetic description ofvoice quality. Cambridge University Press, Ch. 3, pp.93-135, 1980.7) Ishi, C.T., Mokhtari, P., Campbell, N., “Perceptually- relatedAcoustic-Prosodic Features of Phrase Finals in SpontaneousSpeech,” Proc. Eurospeech 2003, 405-408, 2003.8) Ishi, C.T., Ishiguro, H., Hagita, N., “Proposal of AcousticMeasures for Automatic Detection of Vocal Fry,” Proc.Eurospeech 2005, 481-484, 2005.9) Ishi, C.T., “Analysis of Autocorrelation-based parametersfor Creaky Voice Detection,” Proc. Speech Prosody:643-646, 2004.10) Ishi, C.T., “A New Acoustic Measure for Aspiration NoiseDetection,” Proc. ICSLP 2004, Vol. II, 941-944, 2004.11) Sadanobu, T., “A Natural History of Japanese PressedVoice”, J. of Phonetic Society of Japan, Vol. 8 (1): 29-44,2004.12) Ito, M., “Politeness and voice quality – The alternativemethod to measure aspiration noise,” Proc. Speech Prosody2004, 213-216, 200413) Kreiman, J., Gerratt, B., Measuring Vocal Quality, In VoiceQuality Measurement, Singular Thomson Learning. Ch. 7,pp. 73-102, 2000.ABAB AB AB AB AB ABAB AB AB AB AB AB AB AB AB ABABAB76
社団法人人工知能学会Japanese Society forArtificial Intelligence人工知能学会JSAI Technical ReportSIG-CHallege-0522-13 (10/15)Sound Source Tracking with Orientation Estimation by Using A Large Scale Microphone Array Ý Þ Ý Ý Ý ÝKazuhiro Nakadai Ý , Hirofumi Nakajima Þ , Kentaro Yamada Ý , Yuji Hasegawa Ý , Takahiro Nakamura Ý , Hiroshi Tsujino ÝÝ() Þ ()ÝHonda Research Institute Japan Co., Ltd. ÞNittobo Acoustic Engineering Co., Ltd.nakadai,yamaken,yuji.hasegawa,moo,tsujino@jp.honda-ri.com, nakajima@noe.co.jpAbstractThis paper addresses sound source tracking withorientation estimation by using a 64 ch microphonearray. The microphone array system localizes asound source and estimates its directivity patternbased on an weighted delay-and-sum beamformingmethod. The directivity pattern estimation has twoadvantages such as detection of actual human voiceby comparing the estimated directivity pattern withpre-recorded ones, and estimation of sound orientationby detecting the angle with the highestpower in the directivity pattern. The preliminary resultsshow the effectiveness of the method in soundtracking and in orientation estimation.1 [22] 2 1. 2. [6][13] [15][8] 1.1 1. 2. 77
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第22回 ロボット聴覚特集 - 奥乃研究室 - 京都大学

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第22回ロボット聴覚特集 - 奥乃研究室 - 京都大学