Music – Instruments – Electrical musical tone generation
Reexamination Certificate
2011-08-16
2011-08-16
Warren, David S. (Department: 2832)
Music
Instruments
Electrical musical tone generation
C084S612000, C084S651000, C084S652000
Reexamination Certificate
active
07999168
ABSTRACT:
A robot includes: a sound collecting unit collecting and converting a musical sound into a musical acoustic signal; a voice signal generating unit generating a self-vocalized voice signal; a sound outputting unit converting the self-vocalized voice signal into a sound and outputting the sound; a self-vocalized voice regulating unit receiving the musical acoustic signal and the self-vocalized voice signal; a filtering unit performing a filtering process; a beat interval reliability calculating unit performing a time-frequency pattern matching process and calculating a beat interval reliability; a beat interval estimating unit estimating a beat interval; a beat time reliability calculating unit calculating a beat time reliability; a beat time estimating unit estimating a beat time on the basis of the calculated beat time reliability; a beat time predicting unit predicting a beat time before the current time; and a synchronization unit synchronizing the self-vocalized voice signal.
REFERENCES:
patent: 7050980 (2006-05-01), Wang et al.
patent: 7534951 (2009-05-01), Yamashita
patent: 7584218 (2009-09-01), Miyajima et al.
patent: 7592534 (2009-09-01), Yoshikawa et al.
patent: 2007/0022867 (2007-02-01), Yamashita
patent: 2009/0056526 (2009-03-01), Yamashita et al.
patent: 2010/0011939 (2010-01-01), Nakadai et al.
patent: 2010/0017034 (2010-01-01), Nakadai et al.
patent: 2002-116754 (2002-04-01), None
patent: 2007-33851 (2007-02-01), None
Asoh, Hideki et al., “Socially Embedded Learning of the Office-Conversant Mobile Robot Jijo-2,” Proceedings of the 15th International Conference on Artificial Intelligence, vol. 1:880-885 (1997).
Aucouturier, Jean-Julien, “Cheek to Chip: Dancing Robots and AI's Future,” IEEE Intelligent Systems, vol. 23 (2):74-84 (2008).
Cemgil, Ali Taylan et al., “Monte Carlo Methods for Tempo Tracking and Rhythm Quantization,” Journal of Artificial Intelligence Research, vol. 18:45-81 (2003).
Goto, Masataka, “An Audio-based Real-time Beat Tracking System for Music With or Without Drum-sounds,” Journal of New Music Research, vol. 30(2):159-171 (2001).
Goto, Masataka et al., “A Real-time Beat Tracking System for Audio Signals,” Proceedings of the International Computer Music Conference, pp. 13-20 (1996).
Goto, Masataka et al., “RWC Music Database: Popular, Classical, and Jazz Music Databases,” Proceedings of the Third International Conference Music Information Retrieval (2002).
Gouyon, Fabien et al., “An experimental comparison of audio tempo induction algorithms,” IEEE Transactions on Audio, Speech and Language Processing, vol. 14(5):1832-1844 (2006).
Hara, Isao et al., “Robust Speech Interface Based on Audio and Video Information Fusion for Humanoid HRP-2,” Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 3:2404-2410 (2004).
Jensen, Kristoffer et al., “Real-time beat estimation using feature extraction,” Proceedings of Computer Music Modeling and Retrieval Symposium, Lecture Notes in Computer Science (2003).
Kirovski, Darko et al., “Beat-ID: Identifying Music via Beat Analysis,” IEEE Workshop on Multimedia Signal Processing, pp. 190-193 (2002).
Klapuri, Anssi P. et al., “Analysis of the Meter of Acoustic Musical Signals,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 14(1):342-355 (2006).
Kotosaka, Shin'ya et al., “Synchronized Robot Drumming with Neural Oscillators,” Proceedings of the International Symposium of Adaptive Motion of Animals and Machines, (2000).
Kurozumi, Takayuki et al., “A Robust Audio Searching Method for Cellular-Phone-Based Music Information Retrieval,” Proceedings of the International Conference on Pattern Recognition, vol. 3:991-994 (2002).
Matsusaka, Yosuke et al., “Multi-person Conversation via Multi-modal Interface—A Robot who Communicate with Multi-user,” Sixth European Conference on Speech Communication and Technology, EUROSPEECH'99 (1999).
Mavridis, Nikolaos et al., “Grounded Situation Models for Robots: Where words and percepts meet,” Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2006), IEEE (2006).
Michalowski, Marek P. et al., “A Dancing Robot for Rhythmic Social Interaction,” Proceedings of ACM/IEEE International Conference on Human-Robot Interaction (HRI 2007), IEEE (2007).
Nakadai, Kazuhiro et al., “Active Audition for Humanoid,” AAI-00 Proceedings (2000).
Nakano, Mikio et al., “A Two-Layer Model for Behavior and Dialogue Planning in Conversational Service Robots,” Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2005) (2005).
Nakazawa, Atsushi et al., “Imitating Human Dance Motions through Motion Structure Analysis,” Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems (2002).
Takeda, Ryu et al., “Exploiting Known Sound Source Signals to Improve ICA-based Robot Audition in Speech Separation and Recognition,” Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems (2007).
Takeda, Takahiro et al., “HMM-based Error Detection of Dance Step Selection for Dance Partner Robot—MS DanceR-,” Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems (2006).
Yamamoto, Shun'ichi et al., “Real-Time Robot Audition System That Recognizes Simultaneous Speech in The Real World,” Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems (2006).
Yoshii, Kazuyoshi et al., “A Biped Robot that Keeps Step in Time with Musical Beats while Listening to Music with Its Own Ears,” Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems (2007).
Hasegawa Yuji
Murata Kazumasa
Nakadai Kazuhiro
Okuno Hiroshi
Takeda Ryu
Honda Motor Co. Ltd.
Laurentano Anthony A.
Nelson Mullins Riley & Scarborough LLP
Warren David S.
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