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Misophonia Sound Recognition Using Vision Transformer
2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023Misophonia is a condition characterized by an abnormal emotional response to specific sounds, such as eating, breathing, and clock ticking noises. Sound classification for misophonia is an important area of research since it can benefit in the development of interventions and therapies for individuals affected by the condition.
B, Bahmei, E, Birmingham, S, Arzanpour
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Sound recognition: a connectionist approach
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003This paper presents a general audio classification approach inspired by our modest knowledge about the human perception of sound. Simple psychoacoustic experiments show that the relation between short term spectral features has a great impact on the human audio classification performance. For instance, short term spectral features extracted from speech
Harb, Hadi, Chen, Liming
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Steam Trap Opening Sound Recognition
2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2021This study aims to evaluate simple recurrent neural network (simple RNN), long short-term memory (LSTM) and gate recurrent unit (GRU) for steam trap opening sound classification. This study conducts three experiments using different activation functions: ReLU, tanh and sigmoid functions at the output layer.
Punyanut Damnong +2 more
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Unsupervised environmental sound recognition
2014 International Conference on Embedded Systems (ICES), 2014Environmental sound recognition is an audio scene identification process to locate a person by analyzing the background sound. This paper deals with the prototype modeling of environmental sound recognition that is based on unsupervised learning. The unsupervised learning finds a hidden structure in a group of data given as input. There is no need of a
S. P. Mohanapriya, R. Karthika
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Impulsive sound detection and gunshot recognition
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015Detection of impulsive sounds may be required for different kind of purposes. The first step of sniper detection systems requires the detection of impulsive sounds. Gunshot detection and recognition systems must detect at first impulsive sounds too. For security systems, the detection of impulsive sounds such as glass or door breaking, screaming can be
Arslan, Yuksel, Guldogan, Burak
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Sound recognition depends on real-world sound level
Journal of the Acoustical Society of America, 2016How does the auditory system recognize instances of the same sound class with distinct acoustic properties? As a case study, we investigated the recognition of environmental sounds at different levels. In principle, level-invariant recognition could be achieved by a normalization mechanism that removes variation in level from listeners’ representation ...
Sam V. Norman-Haignere +1 more
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A sound database development for environmental sound recognition
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017Environmental sound recognition has become a hot topic in recent years. It is necessary to establish a database which comprises the sounds to be recognized in advance to be able to recognize the environmental sounds. In this paper, we present the design and pilot establishment of a database which will become the base of the impulsive environmental ...
Yuksel Arslan, Huseyin Canbolat
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2017
In this paper we consider the automatic emotions recognition problem, especially the case of digital audio signal processing. We consider and verify an straight forward approach in which the classification of a sound fragment is reduced to the problem of image recognition.
Anastasiya S. Popova +2 more
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In this paper we consider the automatic emotions recognition problem, especially the case of digital audio signal processing. We consider and verify an straight forward approach in which the classification of a sound fragment is reduced to the problem of image recognition.
Anastasiya S. Popova +2 more
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Recognition of environmental sounds
IEEE International Conference on Acoustics Speech and Signal Processing, 1993The author describes a preliminary study designed to answer the question, 'How well can familiar environmental sounds be identified?' By familiar is meant sounds on which the recognition system has been previously trained. Environmental sounds are sounds generated by acoustic sources common in domestic, business, and out-of-doors environments.
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