首页 | 本学科首页   官方微博 | 高级检索  
     

Bark-Band Residual Noise Model for Parametric Audio Coding
作者姓名:王晶  晋艳伟  赵胜辉  匡镜明
作者单位:School of Information Science and Technology Beijing Institute of Technology,Beijing 100081,China,School of Information Science and Technology Beijing Institute of Technology,Beijing 100081,China,School of Information Science and Technology Beijing Institute of Technology,Beijing 100081,China,School of Information Science and Technology Beijing Institute of Technology,Beijing 100081,China
摘    要:A Bark-band residual noise model integrated with the human hearing mechanism is proposed to efficiently complement sinusoidal model in parametric audio coding. The time-varying spectrum of the residual noise is retrieved by Bark-scale piecewise constant magnitude estimates along with random phases. In the proposed noise model, Bark bands information is obtained by short-time FFT method and window overlap-add technique is exploited to remove boundary discontinuities. SVQ is also incorporated into parameter quantization process for the low bit-rate coding demand. Simulation results and informal listening tests show that when the sinusoidal model is combined with the Bark-band noise model, better synthesis audio quality can be achieved compared with the original sinusoidal modeling audio codec.


Bark-Band Residual Noise Model for Parametric Audio Coding
WANG Jing,JIN Yan-wei,ZHAO Sheng-huiKUANG Jing-ming.Bark-Band Residual Noise Model for Parametric Audio Coding[J].Journal of Beijing Institute of Technology,2004(Z1).
Authors:WANG Jing  JIN Yan-wei  ZHAO Sheng-huiKUANG Jing-ming
Abstract:A Bark-band residual noise model integrated with the human hearing mechanism is proposed to efficiently complement sinusoidal model in parametric audio coding. The time-varying spectrum of the residual noise is retrieved by Bark-scale piecewise constant magnitude estimates along with random phases. In the proposed noise model, Bark bands information is obtained by short-time FFT method and window overlap-add technique is exploited to remove boundary discontinuities. SVQ is also incorporated into parameter quantization process for the low bit-rate coding demand. Simulation results and informal listening tests show that when the sinusoidal model is combined with the Bark-band noise model, better synthesis audio quality can be achieved compared with the original sinusoidal modeling audio codec.
Keywords:parametric audio coding  sinusoidal model: residual noise model  Bark band  equivalent rectangular band (ERB)  split vector quantization (SVQ)
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号