descriptor fusion
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2020 ◽  
Vol 279 ◽  
pp. 115872 ◽  
Author(s):  
Yassine Himeur ◽  
Abdullah Alsalemi ◽  
Faycal Bensaali ◽  
Abbes Amira


Author(s):  
Yassine Himeur ◽  
Abullah Alsalemi ◽  
Faycal Bensaali ◽  
Abbes Amira
Keyword(s):  


Author(s):  
Zhuang Dai ◽  
Xinghong Huang ◽  
Weinan Chen ◽  
Chuangbing Chen ◽  
Li He ◽  
...  
Keyword(s):  


2019 ◽  
Vol 10 (12) ◽  
pp. 3417-3429
Author(s):  
Xin Wei ◽  
Hui Wang ◽  
Bryan Scotney ◽  
Huan Wan


2018 ◽  
Vol 8 (8) ◽  
pp. 1363 ◽  
Author(s):  
Jiaxing Ye ◽  
Takumi Kobayashi ◽  
Nobuyuki Toyama ◽  
Hiroshi Tsuda ◽  
Masahiro Murakawa

This paper presents a novel approach for acoustic scene classification based on efficient acoustic feature extraction using spectro-temporal descriptors fusion. Grounded on the finding in neuroscience—“auditory system summarizes the temporal details of sounds using time-averaged statistics to understand acoustic scenes”, we devise an efficient computational framework for sound scene classification by using multipe time-frequency descriptors fusion with discriminant information enhancement. To characterize rich information of sound, i.e., local structures on the time-frequency plane, we adopt 2-dimensional local descriptors. A more critical issue raised in how to logically ‘summarize’ those local details into a compact feature vector for scene classification. Although ‘time-averaged statistics’ is suggested by the psychological investigation, directly computing time average of local acoustic features is not a logical way, since arithmetic mean is vulnerable to extreme values which are anticipated to be generated by interference sounds which are irrelevant to the scene category. To tackle this problem, we develop time-frame weighting approach to enhance sound textures as well as to suppress scene-irrelevant events. Subsequently, robust acoustic feature for scene classification can be efficiently characterized. The proposed method had been validated by using Rouen dataset which consists of 19 acoustic scene categories with 3029 real samples. Extensive results demonstrated the effectiveness of the proposed scheme.



2018 ◽  
Vol 41 ◽  
pp. 16-24 ◽  
Author(s):  
Stevica Cvetković ◽  
Miloš B. Stojanović ◽  
Saša V. Nikolić
Keyword(s):  


2016 ◽  
Author(s):  
Huseyin Cukur ◽  
Hamidullah Binol ◽  
Abdullah Bal ◽  
Fatih Yavuz


2016 ◽  
Vol 76 (6) ◽  
pp. 8915-8936 ◽  
Author(s):  
Fan Guo ◽  
Jin Tang ◽  
Xile Wang


2016 ◽  
Vol 63 (3) ◽  
pp. 588-599 ◽  
Author(s):  
Chun-Rong Huang ◽  
Yan-Ting Chen ◽  
Wei-Ying Chen ◽  
Hsiu-Chi Cheng ◽  
Bor-Shyang Sheu


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