DOI: 10.3724/SP.J.1146.2007.01314

Journal of Electronics & Information Technology (电子与信息学报) 2008/30:4 PP.929-932

Modified Detection of Aperiodicity, Periodicity and Pitch in Speech

The APP method is capable to provide excellent estimation of speech aperiodic / periodic measurement and pitch simultaneously which is useful in speech research and application. However, due to its heavy computational load, APP system is about 110 times real-time, being an extinct flaw for utilization. In this paper, a modified detection of aperiodicity, periodicity and pitch in speech (MAPP) method is presented, which maintains the merit of APP method and eliminates the redundancy of configuration and computation, rationalizing the methodology. Computer simulation shows that MAPP method maintains high accuracy and robustness and that the system is improved to 12.3 times real-time on Pentium processor with 1.70GHz CPU and 512MB RAM, speeding up about one order of magnitude.

Key words:Speech processing,Pitch detection,Periodicity energy,Aperiodicity energy,Average Magnitude Difference Function (AMDF)

ReleaseDate:2014-07-21 15:38:51

[1] 刘建, 郑方, 吴文虎. 基于幅度差平方和函数的基音周期提取算法[J]. 清华大学学报(自然科学版), 2006, 46(1): 44-77. Liu Jian, Zheng Fang, and Wu Wen-hu. Real-time pitch tracking based on sum of magnitude difference square function[J]. Journal of Tsinghua University (Science and Technology), 2006, 46(1): 44-77.

[2] Luengo I, Saratxaga I, and Navas E, et al.. Evaluation of pitch detection algorithms under real conditions[C]. ICASSP'07 Proc., Hawai, USA, Apr. 15-20, 2007: 1057-1060.

[3] Li Y and Wang D L. Pitch detection in polyphonic music using Instrument tone models[C]. ICASSP'07 Proc., Hawai, USA, Apr. 15-20, 2007: 481-484.

[4] Roa S, Bennewitz M, and Behnke S. Fundamental frequency estimation based on pitch-scaled harmonic filtering[C]. ICASSP'07 Proc., Hawai, USA, Apr. 15-20, 2007: 397-400.

[5] Joho D, Bennewitz M, and Behnke S. Pitch estimation using models of voiced speech on three levels[C]. ICASSP'07 Proc., Hawai, USA, Apr. 15-20, 2007: 1077-1080.

[6] Wohlmayr M. Joint position-pitch extraction from multichannel audio[C]. Interspeech2007 Proc., Antwerp, Belgium, August 27-31, 2007: 303-306.

[7] Brown G and Cooke M. Computational auditory scene analysis[J]. Computer Speech and Language, 1994, (8): 297-336.

[8] Ellis D P W. Using knowledge to organize sound: the prediction-driven approach to computational auditory scene analysis, and its application to speech/nonspeech mixtures[J]. Speech Communications, 1999, (27): 281-298.

[9] Yegnanarayana B, d’Alessandro C, and Darsinos V. An iterative algorithm for decomposition of speech signals into periodic and aperiodic components[J]. IEEE Trans. on Speech Audio Process., 1998, 6(1): 1-11.

[10] d’Alessandro C, Darsinos V, and Yegnanarayana B. Effectiveness of aperiodic and periodic decomposition method for analysis of voice sources[J]. IEEE Trans. on Speech Audio Process., 1998, 6(1): 12-23.

[11] Fujimura O. Approximation to voice aperiodicity. IEEE Trans. on Audio Electroacoust., 1968, AU-16(1): 68-73.

[12] Jackson P and Shadle C. Frication noise modulated by voicing, as revealed by pitch-scaled decomposition[J]. J. Acoust. Soc. Amer., 2000, 108(4): 1421-1434.

[13] Serra X and Smith J. Spectral Modeling Synthesis: A sound analysis/synthesis system based on a deterministic plus stochastic decomposition[J]. Comput. Music J., 1990, 14(4): 12-24.

[14] Deshmukh O, Espy-Wilson C Y, and Salomon A, et al.. Use of temporal information: detection of periodicity, aperiodicity, and pitch in speech[J]. IEEE Trans. on Speech and Audio Processing, 2005, 13(5): 776-786.

[15] Deshmukh O and Espy-Wilson C. Detection of periodicity and aperiodicity in speech signal based on temporal information[C]. 15th Int. Congr. Phonetic Sciences Proc., Barcelona, Spain, 2003: 1365-1368.

[16] Deshmukh O and Espy-Wilson C. A measure of periodicity and aperiodicity in speech[C]. IEEE ICASSP Proc., Hong Kong, China, 2003: 448-451.

[17] Glasberg B R and Moore B C J. Derivation of auditory filter shapes from notched-noise data[J]. Hear. Res., 1990, 47 (1-2):103-138.

[18] Johansson M. The Hilbert transform[D]. [Master thesis]. Vaxjo University, 1999.

[19] Ross M, Shaffer H, and Cohen A, et al.. Average magnitude difference function pitch extractor[J]. IEEE Trans. on Signal Processing, 1974, 22 (5): 353-362.

[20] 杜硕. 语音信号的周期性、非周期性及基频的检测[D]. [学士论文]. 北京工业大学, 2007.