Publication View

Robust Speech Spectra Restoration against Unspecific Noise Conditions for Pitch Detection (2008)

Abstract
This paper proposes a new algorithm named Adaptive Running Spectrum Filtering (ARSF) to restore the amplitude spectra of speech corrupted by additive noises. Based on the pre-hand noise estimation, adaptive filtering is used in speech modulation spectra according to the noise conditions. The periodic structures in the amplitude spectra are kept against noise distortion. Since the amplitude spectral structures contain the information of fundamental frequency, which is the inverse of pitch period, ARSF algorithm is added into robust pitch detection to increase the accuracy. Compared with the conventional methods, experimental results show that the proposed method significantly improves the robustness of pitch detection against noise conditions with several types and SNRs.

Publication details
Download http://ietfec.oxfordjournals.org/cgi/content/short/E91-A/3/775
http://dx.doi.org/10.1093/ietfec/e91-a.3.775
Publisher Oxford University Press
Repository HighWire Press OAI Repository (United States)
Keywords Regular Section -- Papers -- Speech and Hearing
Type TEXT
Language English