International Congress on Acoustics (ICA) 2022, pp.1-5
Language
English
Type
Conference Paper
Abstract
In this paper, we propose a novel complex prediction based temporal noise shaping (TNS) scheme for audio coding to reduce the amount of information in the frequency domain more effectively. We utilize the discrete-Fourier transform (DFT) to extract the complex-valued linear prediction (LP) coefficients and create a temporal envelope to flatten the audio signal in the time domain. By flattening across the differential temporal axis, the residual signal becomes more robust with respect to the pre-echo distortion, which cannot be flattened enough by the conventional TNS. To verify the performance of this proposed method, the subjective quality evaluation was performed by comparing with the latest audio codec technology the MPEG unified speech and audio coding (USAC). Furthermore, the proposed method has improved sound quality at 128 kbps for stereo contents. In particular, we observed that there was a distinguishable quality improvement for the items mostly composed of the transient periods.
KSP Keywords
Audio codec, Audio signal, Complex-valued, Fourier Transform, Frequency domain(FD), Pre-echo, Residual signal, Temporal noise shaping, Transient periods, Unified Speech and Audio Coding(USAC), linear prediction
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