Enhanced Parallel-Connected Comb Filter Method for Multiple Pitch Estimation
This paper presents an improvement method of
the multiple pitch estimation algorithm using comb filters.
Conventionally the pitch was estimated by using parallel
-connected comb filters method (PCF). However, PCF has
problems which often fail in the pitch estimation when there is
the fundamental frequency of higher tone near harmonics of
lower tone. Therefore the estimation is assigned to a wrong
note when shared frequencies happen. This issue often occurs
in estimating octave 3 or more. Proposed method, for solving
the problem, estimates the pitch with every harmonic instead of
every octave. As a result, our method reaches the accuracy of
more than 80%.
[1] T. Morita, M. Yamaguchi and Y. Tadokoro, "Pitch Estimation Method for
Transcription Using Parallel-Connected Comb Filters and Noticing Their
Output Values," Journal of IEICE, D-II, Vol.J87-D-II, No.12,
pp.2271-2279, Dec. 2004.
[2] T. Saito, T. Matsui, H. Honda and Y. Tadokoro, "Real-time Realization of
Scale Detection Based on Comb Filters Using DSPs," Journal of SICE,
Vol. 34, pp.504-509, 1998.
[3] H. Kameoka, T. Nishimoto and S. Sagayama, "Separation of Harmonic
Structures Based on Tied Gaussian Mixture Model and Information
Criterion for Concurrent Sounds," ICASSP -04, pp.297-300, 2004.
[4] H. Kameoka, T. Nishimoto and S. Sagayama, "A Multipitch Analyzer
Based on Harmonic Temporal Structured Clustering," IEEE Tras. On
Audio, Speech, and Language Processing, Vol. 15, No.3, pp. 982-994,
2007.
[5] K. Miyamoto, H. Kameoka, T. Nishimoto, N. Ono and S. Sagayama,
"Harmonic-Temporal-Timbral Clustering (HTTC) for the analysis of
multi-instrument polyphonic music signal," ICASSP -08, pp. 113-116,
2008
[6] K. Kashino, T. Kinoshita, K. Nakadai and H. Tanaka, "Chord Recognition
Mechanisms in the OPTIMA Processing Architecture for Music Scene
Analysis," The transactions of the Institute of Electronics, Information
and Communication Engineers, J79-D-2, 1996, 1762-1770 (in Japanese).
[7] M. Goto, "A predominant-F0 estimation method for CD recordings: MAP
estimation using EM algorithm for adaptive tone models," Proc. IEEE
International Conference on Acoustics, Speech, and Signal Processing
Salt Lake City, UT, 2001, 3365-3368
[8] Anssi P. Klapuri, "Multiple Fundamental Frequency Estimation Based on
Harmonicity and Spectral Smoothness," IEEE Trans. on Speech and
Audio Processing, Vol.11, No.6, 804-816, 2003.
[9] M. Goto and K. Hirata, "Recent Studies on Music Information
Processing," Acoustical Science and Technology, 25(4), pp. 419-425,
2004.
[10] T. Matsuno, M. Fujieda and Y. Ishida, "Pitch Estimation Using Comb
Filter with Fractional Delay," Proc. IEICI, Fundamentals of Electronics,
Communications and Computer Sciences, 2009, 196 p., (in Japanese)
[11] Timo I. Laakso, V. Valimaki, M. Karjalainen and Unto K. Laine
"Splitting the Unit Delay," IEEE, Signal Processing Magazine, pp. 30-60,
1996.
[1] T. Morita, M. Yamaguchi and Y. Tadokoro, "Pitch Estimation Method for
Transcription Using Parallel-Connected Comb Filters and Noticing Their
Output Values," Journal of IEICE, D-II, Vol.J87-D-II, No.12,
pp.2271-2279, Dec. 2004.
[2] T. Saito, T. Matsui, H. Honda and Y. Tadokoro, "Real-time Realization of
Scale Detection Based on Comb Filters Using DSPs," Journal of SICE,
Vol. 34, pp.504-509, 1998.
[3] H. Kameoka, T. Nishimoto and S. Sagayama, "Separation of Harmonic
Structures Based on Tied Gaussian Mixture Model and Information
Criterion for Concurrent Sounds," ICASSP -04, pp.297-300, 2004.
[4] H. Kameoka, T. Nishimoto and S. Sagayama, "A Multipitch Analyzer
Based on Harmonic Temporal Structured Clustering," IEEE Tras. On
Audio, Speech, and Language Processing, Vol. 15, No.3, pp. 982-994,
2007.
[5] K. Miyamoto, H. Kameoka, T. Nishimoto, N. Ono and S. Sagayama,
"Harmonic-Temporal-Timbral Clustering (HTTC) for the analysis of
multi-instrument polyphonic music signal," ICASSP -08, pp. 113-116,
2008
[6] K. Kashino, T. Kinoshita, K. Nakadai and H. Tanaka, "Chord Recognition
Mechanisms in the OPTIMA Processing Architecture for Music Scene
Analysis," The transactions of the Institute of Electronics, Information
and Communication Engineers, J79-D-2, 1996, 1762-1770 (in Japanese).
[7] M. Goto, "A predominant-F0 estimation method for CD recordings: MAP
estimation using EM algorithm for adaptive tone models," Proc. IEEE
International Conference on Acoustics, Speech, and Signal Processing
Salt Lake City, UT, 2001, 3365-3368
[8] Anssi P. Klapuri, "Multiple Fundamental Frequency Estimation Based on
Harmonicity and Spectral Smoothness," IEEE Trans. on Speech and
Audio Processing, Vol.11, No.6, 804-816, 2003.
[9] M. Goto and K. Hirata, "Recent Studies on Music Information
Processing," Acoustical Science and Technology, 25(4), pp. 419-425,
2004.
[10] T. Matsuno, M. Fujieda and Y. Ishida, "Pitch Estimation Using Comb
Filter with Fractional Delay," Proc. IEICI, Fundamentals of Electronics,
Communications and Computer Sciences, 2009, 196 p., (in Japanese)
[11] Timo I. Laakso, V. Valimaki, M. Karjalainen and Unto K. Laine
"Splitting the Unit Delay," IEEE, Signal Processing Magazine, pp. 30-60,
1996.
@article{"International Journal of Electrical, Electronic and Communication Sciences:58152", author = "Taro Matsuno and Yuta Otani and Ryo Tanaka and Kaori Ikezaki and Hitoshi Yamamoto and Masaru Fujieda and Yoshihisa Ishida", title = "Enhanced Parallel-Connected Comb Filter Method for Multiple Pitch Estimation", abstract = "This paper presents an improvement method of
the multiple pitch estimation algorithm using comb filters.
Conventionally the pitch was estimated by using parallel
-connected comb filters method (PCF). However, PCF has
problems which often fail in the pitch estimation when there is
the fundamental frequency of higher tone near harmonics of
lower tone. Therefore the estimation is assigned to a wrong
note when shared frequencies happen. This issue often occurs
in estimating octave 3 or more. Proposed method, for solving
the problem, estimates the pitch with every harmonic instead of
every octave. As a result, our method reaches the accuracy of
more than 80%.", keywords = "music transcription, pitch estimation, comb filter, fractional delay", volume = "3", number = "12", pages = "2346-4", }
