Music – Instruments – Electrical musical tone generation
Reexamination Certificate
2004-10-29
2009-10-06
Warren, David S. (Department: 2837)
Music
Instruments
Electrical musical tone generation
C084S623000, C084S608000, C700S094000
Reexamination Certificate
active
07598447
ABSTRACT:
Methods, system and/or computer program products for detection of a note include receiving an audio signal and generating a plurality of frequency domain representations of the audio signal over time. A time domain representation is generated from the plurality of frequency domain representations. A plurality of edges are detected in the time domain representation and the note is detected by selecting one of the plurality of edges as corresponding to the note based on characteristics of the time domain representation.
REFERENCES:
patent: 4273023 (1981-06-01), Mercer
patent: 4377961 (1983-03-01), Bode
patent: 4457203 (1984-07-01), Schoenberg et al.
patent: 4463650 (1984-08-01), Rupert
patent: 4479416 (1984-10-01), Clague
patent: 4633748 (1987-01-01), Takashima et al.
patent: 4665790 (1987-05-01), Rothschild
patent: 4688464 (1987-08-01), Gibson et al.
patent: 5038658 (1991-08-01), Tsuruta et al.
patent: 5202528 (1993-04-01), Iwaooji
patent: 5210366 (1993-05-01), Sykes, Jr.
patent: 5349130 (1994-09-01), Iwaooji
patent: 5357045 (1994-10-01), Tabei
patent: 5619004 (1997-04-01), Dame
patent: 5693903 (1997-12-01), Heidorn et al.
patent: 5719344 (1998-02-01), Pawate
patent: 5942709 (1999-08-01), Szalay
patent: 5986198 (1999-11-01), Gibson et al.
patent: 5986199 (1999-11-01), Peevers
patent: 6124544 (2000-09-01), Alexander et al.
patent: 6140568 (2000-10-01), Kohler
patent: 6355869 (2002-03-01), Mitton
patent: 6392132 (2002-05-01), Uehara
patent: 6541691 (2003-04-01), Tolonen et al.
patent: 6664458 (2003-12-01), Hiratsuka et al.
patent: 6725108 (2004-04-01), Hall
patent: 6787689 (2004-09-01), Chen
patent: 6856923 (2005-02-01), Jung
patent: 6930236 (2005-08-01), Jung
patent: 7096186 (2006-08-01), Funaki
patent: 7149682 (2006-12-01), Yoshioka et al.
patent: 7202407 (2007-04-01), Kawashima et al.
patent: 7317958 (2008-01-01), Freed et al.
patent: 7323629 (2008-01-01), Somani et al.
patent: 2001/0036620 (2001-11-01), Peer et al.
patent: 2001/0044721 (2001-11-01), Yoshioka et al.
patent: 2003/0024375 (2003-02-01), Sitrick
patent: 2003/0061047 (2003-03-01), Yoshioka et al.
patent: 2004/0193429 (2004-09-01), Kimoto
patent: 2004/0200337 (2004-10-01), Abe et al.
patent: 2005/0005760 (2005-01-01), Hull et al.
patent: 2005/0115382 (2005-06-01), Jung
patent: 2005/0115383 (2005-06-01), Chang
patent: 2005/0244019 (2005-11-01), Lallemand
patent: 2006/0021494 (2006-02-01), Teo et al.
patent: 2006/0112812 (2006-06-01), Venkataraman et al.
patent: 2007/0012165 (2007-01-01), Noh et al.
patent: 2007/0127726 (2007-06-01), Ellis et al.
patent: 2007/0288232 (2007-12-01), Kim
patent: 2008/0188967 (2008-08-01), Taub et al.
Klapuri, Anssi, “Automatic Transcription of Music”, Master of Science Thesis, Tampere University of Technology, 82 pages (Apr. 1998).
Anderson, Eric J., “Limitations of Short-Time Fourier Transforms in Polyphonic Pitch Recognition,” University of Washington, Department of Computer Science and Engineering, 74 pages (May 14, 1997).
Bello et al., “An Implementation of Automatic Transcription of Monophonic Music with a Blackboard System,”Proceedings of the Irish Signals and Systems conference, Dublin, Ireland, 1-4 (Jun. 2000).
Bello et al., “Blackboard System and Top-Down Processing for the Transcription of Simple Polyphonic Music,”Proceedings of the COST G-6 Conference on Digital Audio Effects, Verona, Italy, 1-5 (Dec. 7-9, 2000).
Bello et al., “Techniques for Automatic Music Transcription,” King's College London, Department of Electronic Engineering, Strand, London, 3 pages (Oct. 23-25, 2000).
Budiansky, Stephen, “Resurrecting Fats,”The Atlantic Monthly, 285(3): 100-104 (Mar. 2000).
Carreras et al., “Automatic Harmonic Description of Musical Signals Using Schema-Based Chord Decomposition,”Journal of New Music Research, 28(4): 310-333 (1999).
Cemgil, Ali Taylan, “Automated Monophonic Music Transcription. A Wavelet Theoretical Approach,” Bogaziçi University, Computer Engineering, 82 pages (1995).
Chan et al., “Real Time Automated Transcription of Live Music into Sheet Music Using Common Music Notation,” 18551: Digital Communication and Signal Processing, Group 9, 23 pages (May 8, 2000).
Dixon, Simon, “Extraction of Musical Performance Parameters from Audio Data,” Austrian Research Institute for Artificial Intelligence, Vienna, Austria, 4 pages (Dec. 2000).
Dixon, Simon, “Learning to Detect Onsets of Acoustic Piano Tones,” Austrian Research Institute for Artificial Intelligence, Vienna, Austria, 5 pages (Nov. 15-17, 2000).
Dixon, Simon, “On the Computer Recognition of Solo Piano Music,” Austrian Research Institute for Artificial Intelligence, Vienna, Austria, 7 pages (Jul. 2000).
Eronen, Antti, “Automatic Musical Instrument Recognition,” Tampere University of Technology, Department of Information Technology, 69 pages (Apr. 11, 2001).
Hainsworth et al., “Automatic Bass Line Transcription from Polyphonic Music,” University of Cambridge, Department of Engineering, Signal Processing Laboratory, UK, 4 pages (Sep. 22, 2001).
Hainsworth et al., “The Automated Music Transcription Problem,” Cambridge University Engineering Department, UK, 23 pages (2004).
Hekland, Fredrik, “Automatic Music Transcription using Autoregressive Frequency Estimation,” Norwegian University of Science and Technology, 38 pages (Jun. 14, 2001).
Klapuri et al., “Automatic Transcription of Music,” Tampere University of Technology and Nokia Research Center, Tampere, Finland, 7 pages (Oct. 22, 2001).
Kruvczuk et al., “Music Transcription for the Lazy Musician,” 18-551 Final Project Report, Group 7, 21 pages (May 8, 2000).
Marolt, Matija, “On Detecting Repeated Notes in Piano Music,” University of Ljubljana, Faculty of Computer and Information Science, 2 pages (Oct. 14, 2002).
Marolt, Matija, “SONIC: Transcription of Polyphonic Piano Music with Neural Networks,” University of Ljubljana, Faculty of Computer and Information Science, 8 pages (Nov. 15-17, 2001).
Martin, Keith D., “Automatic Transcription of Simple Polyphonic Music: Robust Front End Processing,” M.I.T. Media Laboratory Perceptual Computing Section Technical Report No. 399, 1-11 (Dec. 1996).
O'Kane, Jason, “Automated Music Transcription,” ias493—Senior Seminar, Taylor University, 14 pages (Jan. 2001).
Pereira, Luís Gustavo, “PCM to MIDI Transposition,” Universidade do Porto, Portugal, 96 pages (Sep. 2001).
Plumbley et al., “Automatic Music Transcription and Audio Source Separation,” Submitted for publication inCybernetics and Systems, 21 pages (2002).
Raphael, Christopher, “Automatic Transciption of Piano Music,” Univ. of Massachusetts, Department of Mathematics and Statistic, Amherst, MA, 5 pages (Oct. 14, 2002).
Slaney et al., “A Perceptual Pitch Detector,”International Conference on Acoustics Speech and Signal Processing, 357-360 (1990).
Sterian et al., “Music Transcription Systems: From Sound to Symbol,” The University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, Michigan, 6 pages (Jul. 30-Aug. 3, 2000).
Tadokoro et al., “A Transcription System Based on Synchronous Addition and Subtraction Processing,” Toyohashi University of Technology, Matsue National College of Technology and Toyota National College of Technology, 316-320 (Oct. 7-10, 1996).
International Search Report and Written Opinion of the International Searching Authority for PCT application No. PCT/US2005/034527 mailed on Feb. 20, 2006.
Katayose et al. “Expression Extraction in Virtuoso Music Performances”Proceedings of the International Conference on Pattern Recognitionvol. 1, pp. 780-784 (1990).
Keren et al. “Automatic Transcription of Polyphonic Music Using the Multiresolution Fourier Transform” IEE 9thMediterranean Electrotechnical Conferen
Gross Andrew H.
Schwaller Peter J.
Walker, II John Q.
Myers Bigel & Sibley & Sajovec
Warren David S.
Zenph Studios, Inc.
LandOfFree
Methods, systems and computer program products for detecting... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Methods, systems and computer program products for detecting..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods, systems and computer program products for detecting... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4135560