Frequency Domain Prediction of Tonal Signals with Time-Varying Pitches

In this paper we propose an Extended Frequency Domain Joint Harmonics Prediction (EFDJHP) algorithm, which does long term prediction directly in the transform domain on tonal signals with time-varying pitches for transform speech and audio coding. EFDJHP is an algorithm extension of a previously pro...

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Bibliographic Details
Published in:IEEE signal processing letters 2025-01, Vol.32, p.1-5
Main Authors: Guo, Ning, Edler, Bernd
Format: Article
Language:English
Subjects:
Algorithms
Audio coding
Audio data
Chirp
Coding
FDJHP
Frames
Frequency domain analysis
Harmonic analysis
Harmonics
Long Term Prediction
Mathematical models
Prediction algorithms
Signal processing algorithms
Speech
Speech coding
time varying pitch
Time-domain analysis
Time-frequency analysis
Transforms
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Summary:In this paper we propose an Extended Frequency Domain Joint Harmonics Prediction (EFDJHP) algorithm, which does long term prediction directly in the transform domain on tonal signals with time-varying pitches for transform speech and audio coding. EFDJHP is an algorithm extension of a previously proposed Frequency Domain Joint Harmonics Prediction (FDJHP) algorithm where a constant pitch between neighboring frames was assumed [1]. A linearly changing pitch between adjacent frames is assumed in EFDJHP, where the linearity can be assumed to be local and updated across frames. EFDJHP works in a backward prediction fashion without additional algorithmic delay, and needs very few side information for the forward adaption of the predictor coefficients. Bitrate saving analysis and a listening test show that EFDJHP can improve the coding efficiency on tonal signals with frequent pitch variations such as singing voices and speech.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2024.3491033