This paper presents a preprocessing method to modify the input audio signals of a speech coder to obtain the finally enhanced signals at the decoder. For the purpose, we introduce the noise suppression (NS) scheme and the adaptive gain control (AGC) where an audio input and its coding error are considered as a noisy signal and a noise, respectively. The coding error is suppressed from the input and then the suppressed input is level aligned to the original input by the following AGC operation. Consequently, this preprocessing method makes the spectral energy of the music input redistributed all over the spectral domain so that the preprocessed music can be coded more effectively by the following coder. As an artifact, this procedure needs an additional encoding pass to calculate the coding error. However, it provides a generalized formulation applicable to a lot of existing speech coders. By preference listening tests, it was indicated that the proposed approach produces significant enhancements in the perceived music qualities.
Authors:
Ahn, Chul-yong; Kim, Austin; Kim, Jae Bum; Park, Ho-chong; Song, Geun-bae
Affiliations:
Department of Electronics Engineering, Kwangwoon University; Samsung Electronics Co., Ltd.(See document for exact affiliation information.)
AES Conference:
29th International Conference: Audio for Mobile and Handheld Devices (September 2006)
Paper Number:
3-5
Publication Date:
September 1, 2006
Subject:
Audio for Mobile & Handheld Devices
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