A Fast and Accurate Pitch Estimation Algorithm Based on the Pseudo Wigner-Ville Distribution
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.
Keywords
Cite
@article{arxiv.2210.15272,
title = {A Fast and Accurate Pitch Estimation Algorithm Based on the Pseudo Wigner-Ville Distribution},
author = {Yisi Liu and Peter Wu and Alan W Black and Gopala K. Anumanchipalli},
journal= {arXiv preprint arXiv:2210.15272},
year = {2022}
}