Guo N, Edler B (2024)
Publication Type: Journal article
Publication year: 2024
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.
APA:
Guo, N., & Edler, B. (2024). Frequency Domain Prediction of Tonal Signals with Time-Varying Pitches. IEEE Signal Processing Letters. https://doi.org/10.1109/LSP.2024.3491033
MLA:
Guo, Ning, and Bernd Edler. "Frequency Domain Prediction of Tonal Signals with Time-Varying Pitches." IEEE Signal Processing Letters (2024).
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