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arXiv · 2210.15272

A Fast and Accurate Pitch Estimation Algorithm Based on the Pseudo Wigner-Ville Distribution

Yisi Liu·Peter Wu·Alan W Black·Gopala K. Anumanchipalli
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Abstract

Estimation of fundamental frequency (F0) in voiced segments of speech signals, also known as pitch tracking, plays a crucial role in pitch synchronous speech analysis, speech synthesis, and speech manipulation. In this paper, we capitalize on the high time and frequency resolution of the pseudo Wigner-Ville distribution (PWVD) and propose a new PWVD-based pitch estimation method. We devise an efficient algorithm to compute PWVD faster and use cepstrum-based pre-filtering to avoid cross-term interference. Evaluating our approach on a database with speech and electroglottograph (EGG) recordings yields a state-of-the-art mean absolute error (MAE) of around 4Hz. Our approach is also effective at voiced/unvoiced classification and handling sudden frequency changes.

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Yisi Liu, Peter Wu, Alan W Black, Gopala K. Anumanchipalli. 2022-10-27. A Fast and Accurate Pitch Estimation Algorithm Based on the Pseudo Wigner-Ville Distribution. https://arxiv.org/abs/2210.15272

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