Multichannel audio signal is more difficult to be compressed than mono and stereo ones.A novel multichannel audio signal compression method based on tensor representation and decomposition is proposed in this paper.Th...Multichannel audio signal is more difficult to be compressed than mono and stereo ones.A novel multichannel audio signal compression method based on tensor representation and decomposition is proposed in this paper.The multichannel audio is represented with 3-order tensor space and is decomposed into core tensor with three factor matrices in the way of channel,time and frequency.Only the truncated core tensor is transmitted which will be multiplied by the pre-trained factor matrices to reconstruct the original tensor space.Objective and subjective experiments have been done to show a very noticeable compression capability with an acceptable output quality.The novelty of the proposed compression method is that it enables both high compression capability and backward compatibility with limited signal distortion to the hearing.展开更多
随着中波转播台技术的发展,音频信号的高质量传输和监测变得至关重要。光电转换技术为信号传输带来高保真和低干扰的优势,但在传输过程中也可能遇到挑战,如介质不均匀性导致的细小干扰。音频比对监测技术能有效监控和保证广播内容的准...随着中波转播台技术的发展,音频信号的高质量传输和监测变得至关重要。光电转换技术为信号传输带来高保真和低干扰的优势,但在传输过程中也可能遇到挑战,如介质不均匀性导致的细小干扰。音频比对监测技术能有效监控和保证广播内容的准确性和真实性,利用先进的算法如梅尔频率倒谱系数(Mel Frequency Cepstral Coefficents,MFCC)来分析信号的质量。文章主要分析了音频比对监测的功能、原理及其在中波转播台的应用,以期通过中波转播平台进行音频监测来减少人为错误,降低故障率。展开更多
基金This work was partially supported by the National Natural Science Foundation of China under Grants No.11161140319,No.61001188，the Specialized Research Fund for the Doctoral Program of Higher Education under Grant No.20101101110020，the Fund for Basic Research from Beijing Institute of Technology under Grant No.20120542011，the Fund for Beijing Higher Education Young Elite Teacher Project under Grant No.YETP1202
文摘Multichannel audio signal is more difficult to be compressed than mono and stereo ones.A novel multichannel audio signal compression method based on tensor representation and decomposition is proposed in this paper.The multichannel audio is represented with 3-order tensor space and is decomposed into core tensor with three factor matrices in the way of channel,time and frequency.Only the truncated core tensor is transmitted which will be multiplied by the pre-trained factor matrices to reconstruct the original tensor space.Objective and subjective experiments have been done to show a very noticeable compression capability with an acceptable output quality.The novelty of the proposed compression method is that it enables both high compression capability and backward compatibility with limited signal distortion to the hearing.
文摘随着中波转播台技术的发展,音频信号的高质量传输和监测变得至关重要。光电转换技术为信号传输带来高保真和低干扰的优势,但在传输过程中也可能遇到挑战,如介质不均匀性导致的细小干扰。音频比对监测技术能有效监控和保证广播内容的准确性和真实性,利用先进的算法如梅尔频率倒谱系数(Mel Frequency Cepstral Coefficents,MFCC)来分析信号的质量。文章主要分析了音频比对监测的功能、原理及其在中波转播台的应用,以期通过中波转播平台进行音频监测来减少人为错误,降低故障率。
