期刊
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
卷 18, 期 3, 页码 487-497出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TASL.2010.2040786
关键词
Fundamental frequency estimation; pitch estimation; subband processing; subspace methods
资金
- Marie Curie EST-SIGNAL Fellowship [MEST-CT-2005-021175]
This paper presents a method for high-resolution fundamental frequency (F-0) estimation based on subspaces decomposed from a frequency-selective data model, by effectively splitting the signal into a number of subbands. The resulting estimator is termed frequency-selective harmonic MUSIC (F-HMUSIC). The subband-based approach is expected to ensure computational savings and robustness. Additionally, a method for automatic subband signal activity detection is proposed, which is based on information-theoretic criterion where no subjective judgment is needed. The F-HMUSIC algorithm exhibits good statistical performance when evaluated with synthetic signals for both white and colored noises, while its evaluation on real-life audio signal shows the algorithm to be competitive with other estimators. Finally, F-HMUSIC is found to be computationally more efficient and robust than other subspace-based F-0 estimators, besides being robust against recorded data with inharmonicities.
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