A new method for epoch detection based on the Cohen's class of time frequency representations

• Published in: IEEE signal processing letters Vol. 8; no. 8; pp. 225 - 227
• Main Authors: Navarro-Mesa, J.L., Lleida-Solano, E., Moreno-Bilbao, A.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-08-2001; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Formulations; Gaussian; Gaussian noise; Kernel; Linear predictive coding; Linearity; Noise; Norms; Optimization; Production systems; Representations; Signal processing; Speech analysis; Speech coding; Speech processing; Time frequency analysis; Working environment noise
• ISSN: 1070-9908; 1558-2361
• DOI: 10.1109/97.935737

This paper presents a new method for detecting the instants of glottal closure (IGC), or epochs, in noisy environments based on the Cohen's class time-frequency representations (TFR). We define a detection function inspired in a time-frequency formulation for optimum detection and apply a morphologic closing over it to determine the epochs. It compares favorably with other methods (e.g., the SIFT-based and the Frobenius norm [FN] function) in different levels of Gaussian noise. Experiments are carried over a data base composed of ten speakers.