Joint Robust Voicing Detection and Pitch Estimation Based on Residual Harmonics

12/28/2019
by   Thomas Drugman, et al.
0

This paper focuses on the problem of pitch tracking in noisy conditions. A method using harmonic information in the residual signal is presented. The proposed criterion is used both for pitch estimation, as well as for determining the voicing segments of speech. In the experiments, the method is compared to six state-of-the-art pitch trackers on the Keele and CSTR databases. The proposed technique is shown to be particularly robust to additive noise, leading to a significant improvement in adverse conditions.

READ FULL TEXT
research
03/13/2023

A two-stage speaker extraction algorithm under adverse acoustic conditions using a single-microphone

In this work, we present a two-stage method for speaker extraction under...
research
12/09/2021

Harmonic and non-Harmonic Based Noisy Reverberant Speech Enhancement in Time Domain

This paper introduces the single step time domain method named HnH-NRSE,...
research
12/28/2019

Detection of Glottal Closure Instants from Speech Signals: a Quantitative Review

The pseudo-periodicity of voiced speech can be exploited in several spee...
research
04/17/2022

In Defense of Subspace Tracker: Orthogonal Embedding for Visual Tracking

The paper focuses on a classical tracking model, subspace learning, grou...
research
10/07/2019

Adaptive Reverberation Absorption using Non-stationary Masking Components Detection for Intelligibility Improvement

This letter proposes a new time domain absorption approach designed to r...
research
12/30/2019

Using a Pitch-Synchronous Residual Codebook for Hybrid HMM/Frame Selection Speech Synthesis

This paper proposes a method to improve the quality delivered by statist...
research
05/21/2019

Bayesian Pitch Tracking Based on the Harmonic Model

Fundamental frequency is one of the most important characteristics of sp...

Please sign up or login with your details

Forgot password? Click here to reset