title: A Method of Speech Periodicity Enhancement Using Transform-domain Signal Decomposition.
abstract: Periodicity is an important property of speech signals. It is the basis of the signal's fundamental frequency and the pitch of voice, which is crucial to speech communication. This paper presents a novel framework of periodicity enhancement for noisy speech. The enhancement is applied to the linear prediction residual of speech. The residual signal goes through a constant-pitch time warping process and two sequential lapped-frequency transforms, by which the periodic component is concentrated in certain transform coefficients. By emphasizing the respective transform coefficients, periodicity enhancement of noisy residual signal is achieved. The enhanced residual signal and estimated linear prediction filter parameters are used to synthesize the output speech. An adaptive algorithm is proposed for adjusting the weights for the periodic and aperiodic components. Effectiveness of the proposed approach is demonstrated via experimental evaluation. It is observed that harmonic structure of the original speech could be properly restored to improve the perceptual quality of enhanced speech.
authors.affiliation: Chinese University of Hong Kong, Department of Electrical Engineering, Shatin, N.T., Hong Kong SAR of China ; Chinese University of Hong Kong, Shenzhen Research Institute, Shenzhen, China.
authors.forename: Huang
authors.initials: H
authors.lastname: Huang
authors.affiliation: Chinese University of Hong Kong, Department of Electrical Engineering, Shatin, N.T., Hong Kong SAR of China ; Chinese University of Hong Kong, Shenzhen Research Institute, Shenzhen, China.
authors.forename: Tan
authors.initials: T
authors.lastname: Lee
authors.affiliation: Victoria University of Wellington, School of Engineering and Computer Science, PO Box 600, Wellington 6140, New Zealand.
authors.forename: W Bastiaan
authors.initials: WB
authors.lastname: Kleijn
authors.affiliation: Northeastern University, Department of Speech Language Pathology and Audiology, Boston, MA 02115, United States.
authors.forename: Ying-Yee
authors.initials: YY
authors.lastname: Kong
keywords: Adaptive coefficient weighting; Periodic-aperiodic decomposition; Speech enhancement; Speech periodicity; Transform-domain representation