Multichannel audio signal compression based on tensor decomposition

Author(s):  
Jing Wang ◽  
Chundong Xu ◽  
Xiang Xie ◽  
Jingming Kuang
1998 ◽  
Vol 103 (5) ◽  
pp. 3027-3027
Author(s):  
Jin‐Woo Hong ◽  
Dae‐Young Jang ◽  
Seong‐Han Kim

Author(s):  
Mathieu Fontaine ◽  
Fabian-Robert Stöter ◽  
Antoine Liutkus ◽  
Umut Şimşekli ◽  
Romain Serizel ◽  
...  

Author(s):  
Hossam Mohamed Kasem ◽  
Osumu Muta ◽  
Maha Elsabrouty ◽  
Hiroshi Frukawa

2021 ◽  
Vol 5 ◽  
Author(s):  
Ingo Siegert ◽  
Oliver Niebuhr

Remote meetings via Zoom, Skype, or Teams limit the range and richness of nonverbal communication signals. Not just because of the typically sub-optimal light, posture, and gaze conditions, but also because of the reduced speaker visibility. Consequently, the speaker’s voice becomes immensely important, especially when it comes to being persuasive and conveying charismatic attributes. However, to offer a reliable service and limit the transmission bandwidth, remote meeting tools heavily rely on signal compression. It has never been analyzed how this compression affects a speaker’s persuasive and overall charismatic impact. Our study addresses this gap for the audio signal. A perception experiment was carried out in which listeners rated short stimulus utterances with systematically varied compression rates and techniques. The scalar ratings concerned a set of charismatic speaker attributes. Results show that the applied audio compression significantly influences the assessment of a speaker’s charismatic impact and that, particularly female speakers seem to be systematically disadvantaged by audio compression rates and techniques. Their charismatic impact decreases over a larger range of different codecs; and this decrease is additionally also more strongly pronounced than for male speakers. We discuss these findings with respect to two possible explanations. The first explanation is signal-based: audio compression codecs could be generally optimized for male speech and, thus, degrade female speech more (particularly in terms of charisma-associated features). Alternatively, the explanation is in the ears of the listeners who are less forgiving of signal degradation when rating female speakers’ charisma.


Author(s):  
P. Sandhya Rani ◽  
◽  
D Nanaji ◽  
V Ramesh ◽  
K.V.S Kiran

2010 ◽  
Vol 56 (2) ◽  
pp. 125-128 ◽  
Author(s):  
Taleb Moazzeni ◽  
Henry Selvaraj ◽  
Yingtao Jiang

A Novel Multi-Exponential Function-based Companding Technique for Uniform Signal Compression over Channels with Limited Dynamic Range Companding, as a variant of audio level compression, can help reduce the dynamic range of an audio signal. In analog (digital) systems, this can increase the signal-to-noise ratio (signal to quantization noise ratio) achieved during transmission. The μ-law algorithm that is primarily used in the digital telecommunication systems of North America and Japan, adapts a companding scheme that can expand small signals and compress large signals especially at the presence of high peak signals. In this paper, we present a novel multi-exponential companding function that can achieve more uniform compression on both large and small signals so that the relative signal strength over the time is preserved. That is, although larger signals may get considerably compressed, unlike μ-law algorithm, it is guaranteed that these signals after companding will definitely not be smaller than expanded signals that were originally small. Performance of the proposed algorithm is compared with μ-law using real audio signal, and results show that the proposed companding algorithm can achieve much smaller quantization errors with a modest increase in computation time.


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