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A Conformer-Based Time-Frequency Decoupling Network for Pig Vocalization Behavior Classification. [PDF]

Animals (Basel)
Wang J, Liu Y, Geng S, Wei F, Wu H, Song Y, Lv Y, Li S, Li Q.   +8 more
europepmc   +1 more source

Comparison of techniques for environmental sound recognition

Pattern Recognition Letters, 2003
This paper presents a comprehensive comparative study of artificial neural networks, learning vector quantization and dynamic time warping classification techniques combined with stationary/non-stationary feature extraction for environmental sound recognition.
Michael Cowling
exaly   +4 more sources

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Automatic sound recognition for the hearing impaired

IEEE Transactions on Consumer Electronics, 2008
We present a wearable sound recognition system to assist the hearing impaired. Traditionally, hearing aid dogs are specially trained to facilitate the daily life of the hearing impaired. However, since training hearing aid dogs is costly and time-consuming, it would be desirable to substitute them with an automatic sound recognition system using speech
Dongsuk Yook
exaly   +2 more sources

Sound recognition: a connectionist approach

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
This 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
Hadi Harb, Liming Chen 0002
openaire   +2 more sources

A sound database development for environmental sound recognition

2017 25th Signal Processing and Communications Applications Conference (SIU), 2017
Environmental 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 ...
Yüksel Arslan, Hüseyin Canbolat
openaire   +1 more source

An overview of applications and advancements in automatic sound recognition

Neurocomputing, 2016
Automatic sound recognition (ASR) has attracted increased and wide ranging interests in recent years. In this paper, we carry out a review of some important contributions in ASR techniques, mainly over the last one and a half decades.
Roneel V Sharan, Tom J Moir
exaly   +2 more sources

The analysis of vehicle sounds for recognition

Pattern Recognition, 1972
Abstract The problem of classifying vehicles on the basis of the acoustic waveform obtained from them has been approached by calculating various central moments of the short term power spectrum of a sample of the signal. It has been found that classification can be performed using two moment measurements, giving good results with vehicles operating ...
D. W. Thomas, Brian R. Wilkins
openaire   +1 more source

Impulsive sound detection and gunshot recognition

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Detection 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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Recognition of environmental sounds

IEEE International Conference on Acoustics Speech and Signal Processing, 1993
The 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.
openaire   +2 more sources