Hybrid Noise Shaping for Audio Coding Using Perfectly Overlapped Window

In recent years, audio coding technology has been standardized based on several frameworks that incorporate linear predictive coding (LPC). However, coding the transient signal using frequency-domain LP residual signals remains a challenge. To address this, temporal noise shaping (TNS) can be adapte...

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Bibliographic Details
Published in:IEEE Workshop on Applications of Signal Processing to Audio and Acoustics : proceedings pp. 1 - 5
Main Authors: Jo, Byeongho, Beack, Seungkwon
Format: Conference Proceeding
Language:English
Published: IEEE 22.10.2023
Subjects:
Audio coding
Linear predictive coding
MCLT
Measurement
quantization
Quantization (signal)
Signal processing algorithms
Switches
temporal noise shaping
Transforms
window function
ISSN:1947-1629
Online Access:Get full text
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Summary:In recent years, audio coding technology has been standardized based on several frameworks that incorporate linear predictive coding (LPC). However, coding the transient signal using frequency-domain LP residual signals remains a challenge. To address this, temporal noise shaping (TNS) can be adapted, although it cannot be effectively operated since the estimated temporal envelope in the modified discrete cosine transform (MDCT) domain is accompanied by the time-domain aliasing (TDA) terms. In this study, we propose the modulated complex lapped transform-based coding framework integrated with transform coded excitation (TCX) and complex LPC-based TNS (CTNS). Our approach uses a 50% overlap window and switching scheme for the CTNS to improve the coding efficiency. Additionally, an adaptive calculation of the target bits for the sub-bands using the frequency envelope information based on the quantized LPC coefficients is proposed. To minimize the quantization mismatch between both modes, an integrated quantization for real and complex values and a TDA augmentation method that compensates for the artificially generated TDA components during switching operations are proposed. The proposed coding framework shows a superior performance in both objective metrics and subjective listening tests, thereby demonstrating its low bit-rate audio coding.
ISSN:1947-1629
DOI:10.1109/WASPAA58266.2023.10248116