In this paper, we propose a combination-based novel technique of dithered subband coding with spectral subtraction for improving the perceptual quality of coded audio at low bit rates. It is well known that signal-correlated distortion is audible when the audio signal is quantized at bit rates lower than the lower bound of perceptual coding. We show that this problem can be overcome by applying the dithering quantization process in each subband. Consequently, the quantization noise is rendered into a signal-independent white noise; this noise is then estimated and removed by spectral subtraction at the decoder. Experimental results show an effective improvement by the proposed method over the conventional one in terms of better SNR and human listening test results. The proposed method can be combined with other existing or future coding methods such as perceptual coding to improve their performance at low bit rates.
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Chatree BUDSABATHON, Akinori NISHIHARA, "Dithered Subband Coding with Spectral Subtraction" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 6, pp. 1788-1793, June 2006, doi: 10.1093/ietfec/e89-a.6.1788.
Abstract: In this paper, we propose a combination-based novel technique of dithered subband coding with spectral subtraction for improving the perceptual quality of coded audio at low bit rates. It is well known that signal-correlated distortion is audible when the audio signal is quantized at bit rates lower than the lower bound of perceptual coding. We show that this problem can be overcome by applying the dithering quantization process in each subband. Consequently, the quantization noise is rendered into a signal-independent white noise; this noise is then estimated and removed by spectral subtraction at the decoder. Experimental results show an effective improvement by the proposed method over the conventional one in terms of better SNR and human listening test results. The proposed method can be combined with other existing or future coding methods such as perceptual coding to improve their performance at low bit rates.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.6.1788/_p
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@ARTICLE{e89-a_6_1788,
author={Chatree BUDSABATHON, Akinori NISHIHARA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Dithered Subband Coding with Spectral Subtraction},
year={2006},
volume={E89-A},
number={6},
pages={1788-1793},
abstract={In this paper, we propose a combination-based novel technique of dithered subband coding with spectral subtraction for improving the perceptual quality of coded audio at low bit rates. It is well known that signal-correlated distortion is audible when the audio signal is quantized at bit rates lower than the lower bound of perceptual coding. We show that this problem can be overcome by applying the dithering quantization process in each subband. Consequently, the quantization noise is rendered into a signal-independent white noise; this noise is then estimated and removed by spectral subtraction at the decoder. Experimental results show an effective improvement by the proposed method over the conventional one in terms of better SNR and human listening test results. The proposed method can be combined with other existing or future coding methods such as perceptual coding to improve their performance at low bit rates.},
keywords={},
doi={10.1093/ietfec/e89-a.6.1788},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - Dithered Subband Coding with Spectral Subtraction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1788
EP - 1793
AU - Chatree BUDSABATHON
AU - Akinori NISHIHARA
PY - 2006
DO - 10.1093/ietfec/e89-a.6.1788
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2006
AB - In this paper, we propose a combination-based novel technique of dithered subband coding with spectral subtraction for improving the perceptual quality of coded audio at low bit rates. It is well known that signal-correlated distortion is audible when the audio signal is quantized at bit rates lower than the lower bound of perceptual coding. We show that this problem can be overcome by applying the dithering quantization process in each subband. Consequently, the quantization noise is rendered into a signal-independent white noise; this noise is then estimated and removed by spectral subtraction at the decoder. Experimental results show an effective improvement by the proposed method over the conventional one in terms of better SNR and human listening test results. The proposed method can be combined with other existing or future coding methods such as perceptual coding to improve their performance at low bit rates.
ER -