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

arXiv: https://arxiv.org/abs/2210.15272 · HTML: https://mlsanity.com/paper/2210.15272/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Oct 2022.

## Built on by (most cited first, 1 of 1)

- [Real-Time Pitch/F0 Detection Using Spectrogram Images and Convolutional Neural Networks](https://mlsanity.com/paper/2504.06165/) (2025)

## Abstract (arXiv)

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.