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PRE-ECHO REDUCTION IN TRANSFORM AUDIO CODING VIA TEMPORAL ENVELOPE CONTROL WITH MACHINE LEARNING BASED ESTIMATION

DOI:
10.60864/dp04-9m51
Citation Author(s):
Jae-Won kim, Byeongho Jo, Seungkwon Beack, Hochong Park
Submitted by:
JaeWon Kim
Last updated:
6 June 2024 - 10:21am
Document Type:
Poster
 

This paper proposes a new method for pre-echo reduction in transform-based audio coding by controlling the temporal envelope of the waveform. The proposed method comprises two operating modes: temporal envelope flattening and temporal envelope correction of a target signal. The proposed method estimates signal levels with a low temporal resolution from side information using machine learning and converts them into a signal to be applied to the target signal to flatten and correct the temporal envelope. It also adjusts the signals to maintain signal continuity between the non-transient and transient frames. The proposed method differs from conventional methods in that it directly modifies the waveform before encoding and after decoding, which makes it useful as a new coding tool for legacy codecs. A subjective performance evaluation confirms that the proposed method uses fewer bits to provide sound quality equivalent to that of the shortwindow transform.

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