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Publication . Article . 2019

Adaptive Refinements of Pitch Tracking and HNR Estimation within a Vocoder for Statistical Parametric Speech Synthesis

Al-Radhi, Mohammed Salah; Csapó, Tamás Gábor; Németh, Géza;
Open Access
Published: 16 Jun 2019 Journal: Applied Sciences, volume 9, page 2,460 (eissn: 2076-3417, Copyright policy )
Publisher: MDPI AG
Abstract
one that interpolates fundamental frequency (F0) even when voicing is not present. However, continuous F0 is still sensitive to additive noise in speech signals and suffers from short-term errors (when it changes rather quickly over time). To alleviate these issues, three adaptive techniques have been developed in this article for achieving a robust and accurate F0: (1) we weight the pitch estimates with state noise covariance using adaptive Kalman-filter framework, (2) we iteratively apply a time axis warping on the input frame signal, (3) we optimize all F0 candidates using an instantaneous-frequency-based approach. Additionally, the second goal of this study is to introduce an extension of a novel continuous-based speech synthesis system (i.e., in which all parameters are continuous). We propose adding a new excitation parameter named Harmonic-to-Noise Ratio (HNR) to the voiced and unvoiced components to indicate the degree of voicing in the excitation and to reduce the influence of buzziness caused by the vocoder. Results based on objective and perceptual tests demonstrate that the voice built with the proposed framework gives state-of-the-art speech synthesis performance while outperforming the previous baseline.
Recent studies in text-to-speech synthesis have shown the benefit of using a continuous pitch estimate
Subjects by Vocabulary

Microsoft Academic Graph classification: Kalman filter Speech recognition Covariance Voice Fundamental frequency Dynamic time warping Noise Computer science Parametric statistics Speech synthesis computer.software_genre computer

Library of Congress Subject Headings: lcsh:Technology lcsh:T lcsh:Engineering (General). Civil engineering (General) lcsh:TA1-2040 lcsh:Biology (General) lcsh:QH301-705.5 lcsh:Physics lcsh:QC1-999 lcsh:Chemistry lcsh:QD1-999

Medical Subject Headings: otorhinolaryngologic diseases humanities psychological phenomena and processes

Subjects

Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science, continuous F0, speech synthesis, Kalman filter, time-warping, HNR

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