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Giuseppe Ciaburro
Parking is a crucial element in urban mobility management. The availability of parking areas makes it easier to use a service, determining its success. Proper parking management allows economic operators located nearby to increase their business revenue....
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Mei Wang, Qingshan Mei, Xiyu Song, Xin Liu, Ruixiang Kan, Fangzhi Yao, Junhan Xiong and Hongbing Qiu
Unsupervised anomalous sound detection by machines holds significant importance within the realm of industrial automation. Currently, the task of machine-based anomalous sound detection in complex industrial settings is faced with issues such as the chal...
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Li-Chia Chang and Jeih-Weih Hung
This study proposes a novel robust speech feature extraction technique to improve speech recognition performance in noisy environments. This novel method exploits the information provided by the original acoustic model in the automatic speech recognition...
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Md Arafat Habib, Cheol Hong Kim and Jong-Myon Kim
This study aims at characterizing crack types for reinforced concrete beams through the use of acoustic emission burst (AEB) features. The study includes developing a solid crack assessment indicator (CAI) accompanied by a crack detection method using th...
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Anvarjon Tursunov, Soonil Kwon and Hee-Suk Pang
Emotion recognition from human speech is currently being used in a variety of different domains: in call centers, for analysis of customer?s satisfaction from services, in healthcare, monitoring stress or pain degree of patients in order to detect in an ...
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Fernando Martínez-Tabares, Mauricio Orozco-Alzate
Pág. 34 - 45
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Sung-Woo Byun and Seok-Pil Lee
The goal of the human interface is to recognize the user?s emotional state precisely. In the speech emotion recognition study, the most important issue is the effective parallel use of the extraction of proper speech features and an appropriate classific...
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Antonella Bevilacqua and Lamberto Tronchin
The acoustical characteristics of a room where the artistic performance is presented to the audience have a critical impact on the experience of both artists and spectators. It is important to know how the original aspects and the refurbishment works thr...
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Kudakwashe Zvarevashe and Oludayo Olugbara
Automatic recognition of emotion is important for facilitating seamless interactivity between a human being and intelligent robot towards the full realization of a smart society. The methods of signal processing and machine learning are widely applied to...
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José Antonio Alves Menezes, Giordano Cabral, Bruno Gomes, Paulo Pereira
Pág. 14 - 35
To choice audio features has been a very interesting theme for audio classification experts. They have seen that this process is probably the most important effort to solve the classification problem. In this sense, there are techniques of Feature Learni...
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V. P. Voitenko,Yu. I. Osenin
Pág. 32 - 35
A calculation technique is suggested for the system of the rail track and a foreign body on its surface. The procedure allows calculating a decrease of the intra-rail acoustic signal amplitude affected by the presence of a foreign body on the rail surfac...
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Moa Lee and Joon-Hyuk Chang
Speech recognition for intelligent robots seems to suffer from performance degradation due to ego-noise. The ego-noise is caused by the motors, fans, and mechanical parts inside the intelligent robots especially when the robot moves or shakes its body. T...
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Giuseppe Ciaburro and Gino Iannace
In recent years, security in urban areas has gradually assumed a central position, focusing increasing attention on citizens, institutions and political forces. Security problems have a different nature?to name a few, we can think of the problems derivin...
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Nader Ekramirad, Alfadhl Y. Khaled, Kevin D. Donohue, Raul T. Villanueva and Akinbode A. Adedeji
Codling moth (CM) is a major apple pest. Current manual method of detection is not very effective. The development of nondestructive monitoring and detection methods has the potential to reduce postharvest losses from CM infestation. Previous work from o...
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Hongjian Bo, Haifeng Li, Boying Wu, Hongwei Li and Lin Ma
At present, there are very few analysis methods for long-term electroencephalogram (EEG) components. Temporal information is always ignored by most of the existing techniques in cognitive studies. Therefore, a new analysis method based on time-varying ch...
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Marc Ciufo Green and Damian Murphy
The classification of acoustic scenes and events is an emerging area of research in the field of machine listening. Most of the research conducted so far uses spectral features extracted from monaural or stereophonic audio rather than spatial features ex...
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Edna S. Cárdenas, Samuel K. Takazawa, Milton A. Garcés, David L. Chichester, Riley D. Hunley and Chris D. Young
Persistent low-frequency (<180 Hz) acoustic detection took place within the boundaries of Oak Ridge National Laboratory to monitor full power operations of the High Flux Isotope Reactor. Three acoustic sensors were installed at distances of 69, 101, and ...
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Antonella Bevilacqua, Silvana Sukaj, Gino Iannace and Amelia Trematerra
The discovery of Roman amphitheaters continues to excite the minds of archaeologists. Within the framework of various excavation campaigns, the architectural requalification of the amphitheater of Durres has been investigated, but no acoustic analyses ha...
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Jianbin Li, Yi He, Qian Li and Zhen Zhang
The detection of bolt loosening using vibro-acoustic modulation (VAM) has been increasingly investigated in the past decade. However, conventional nonlinear coefficients, derived from theoretical analysis, are usually based on the assumption of ideal wav...
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Claudia Barile, Caterina Casavola, Giovanni Pappalettera and Paramsamy Kannan Vimalathithan
Assessing the damage evolution in carbon-fiber-reinforced polymer (CFRP) composites is an intricate task due to their complex mechanical responses. The acoustic emission technique (AE) is a non-destructive evaluation tool that is based on the recording o...
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