A frame selective dynamic programming approach for noise robust pitch estimation

Yarra, Chiranjeevi and Deshmukh, Om D and Ghosh, Prasanta Kumar (2018) A frame selective dynamic programming approach for noise robust pitch estimation. In: JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 143 (4). pp. 2289-2300.

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Abstract

The principles of the existing pitch estimation techniques are often different and complementary in nature. In this work, a frame selective dynamic programming (FSDP) method is proposed which exploits the complementary characteristics of two existing methods, namely, sub-harmonic to harmonic ratio (SHR) and sawtooth-wave inspired pitch estimator (SWIPE). Using variants of SHR and SWIPE, the proposed FSDP method classifies all the voiced frames into two classes-the first class consists of the frames where a confidence score maximization criterion is used for pitch estimation, while for the second class, a dynamic programming (DP) based approach is proposed. Experiments are performed on speech signals separately from KEELE, CSLU, and PaulBaghsaw corpora under clean and additive white Gaussian noise at 20, 10, 5, and 0 dB SNR conditions using four baseline schemes including SHR, SWIPE, and two DP based techniques. The pitch estimation performance of FSDP, when averaged over all SNRs, is found to be better than those of the baseline schemes suggesting the benefit of applying smoothness constraint using DP in selected frames in the proposed FSDP scheme. The VuV classification error from FSDP is also found to be lower than that from all four baseline schemes in almost all SNR conditions on three corpora. (C) 2018 Acoustical Society of America.

Item Type:	Journal Article
Publication:	JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
Publisher:	ACOUSTICAL SOC AMER AMER INST PHYSICS, STE 1 NO 1, 2 HUNTINGTON QUADRANGLE, MELVILLE, NY 11747-4502 USA
Additional Information:	Copy right for this article belong to ACOUSTICAL SOC AMER AMER INST PHYSICS, STE 1 NO 1, 2 HUNTINGTON QUADRANGLE, MELVILLE, NY 11747-4502 USA
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	09 May 2018 15:39
Last Modified:	25 Aug 2022 08:20
URI:	https://eprints.iisc.ac.in/id/eprint/59834

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