A robust and computationally efficient subspace-based fundamental frequency estimator

IEEE Transactions on Audio, Speech and Language Processing

Volumn 18, Issue 3, 2010, Pages 487-497

  Xi Zhang, Johan ^a   Christensen, Mads Græsbøll ^a   Jensen, Søren Holdt ^a   Moonen, Marc ^b  

^a AALBORG UNIVERSITY   (Denmark)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Fundamental frequency estimation; Pitch estimation; Subband processing; Subspace methods

Indexed keywords

AUDIO SIGNAL; COLORED NOISE; COMPUTATIONAL SAVINGS; COMPUTATIONALLY EFFICIENT; DATA MODELS; FREQUENCY-SELECTIVE; FUNDAMENTAL FREQUENCIES; FUNDAMENTAL FREQUENCY ESTIMATION; HIGH RESOLUTION; INFORMATION THEORETIC CRITERION; ITS EVALUATION; PITCH ESTIMATION; STATISTICAL PERFORMANCE; SUB-BANDS; SUB-SPACE METHODS; SUBBAND PROCESSING; SUBBAND SIGNALS; SYNTHETIC SIGNALS;

ACOUSTIC VARIABLES MEASUREMENT; COMPUTATIONAL EFFICIENCY; ESTIMATION; INFORMATION THEORY; NATURAL FREQUENCIES; WAVELET ANALYSIS;

FREQUENCY ESTIMATION;

EID: 76949091665     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2010.2040786     Document Type: Article

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