Results 31 to 40 of about 1,114,456 (287)
Bioinspired auditory sound localisation for improving the signal to noise ratio of socially interactive robots [PDF]
, 2006 In this paper we describe a bioinspired hybrid architecture for acoustic sound source localisation and tracking to increase the signal to noise ratio (SNR) between speaker and background sources for a socially interactive robot's speech recogniser system.
Erwin, Harry +2 more
core +2 more sources
Neural Networks for Automatic Environmental Sound Recognition [PDF]
2021 International Conference on Speech Technology and Human-Computer Dialogue (SpeD), 2021 Environmental sound recognition is currently an important and valuable field of computer science and robotics, , security or environmental protection. The underlying methodology evolved from primary speech application characteristic methods to more specific approaches, and with the advent of the deep learning paradigm many attempts using these methods ...
Segarceanu, Svetlana +2 more
openaire +1 more source
The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming
Sensors, 2022 Pork accounts for an important proportion of livestock products. For pig farming, a lot of manpower, material resources and time are required to monitor pig health and welfare.
Shunli Wang +5 more
doaj +1 more source
A recognition method research based on the heart sound texture map
AIP Advances, 2016 In order to improve the Heart Sound recognition rate and reduce the recognition time, in this paper, we introduces a new method for Heart Sound pattern recognition by using Heart Sound Texture Map.
Huizhong Cheng +3 more
doaj +1 more source
A Proposed Method for the Sound Recognition Process [PDF]
Engineering and Technology Journal, 2018 One of the most important issues in the signal-processing world is the issue of sounds differentiations. It has many applications in identifying the sources of the sounds, and many researches nowadays serves in this field and all of them looking for the ...
Azad Kareem, Marwa Jassim, Mustafa Ali
doaj +1 more source
Environment Sound Event Classification With a Two-Stream Convolutional Neural Network
IEEE Access, 2020 In recent years, with the construction of intelligent cities, the importance of environmental sound classification (ESC) research has become increasingly prominent.
Xifeng Dong +4 more
doaj +1 more source
An evaluation of earcons for use in auditory human-computer interfaces [PDF]
, 1993 An evaluation of earcons was carried out to seee whether they are an effective means of communicating information in sound. An initial experiment showed that earcons were better than unstructured bursts of sound and that musical timbres were more ...
Brewster, S.A. +2 more
core +3 more sources
Causal inference in environmental sound recognition
Cognition, 2020 AbstractSound is caused by physical events in the world. Do humans infer these causes when recognizing sound sources? We tested whether the recognition of common environmental sounds depends on the inference of a basic physical variable – the source intensity (i.e., the power that produces a sound).
Traer, James +2 more
openaire +2 more sources
The Aesthetic Preference for Nature Sounds Depends on Sound Object Recognition [PDF]
Cognitive Science, 2018 AbstractPeople across the world seek out beautiful sounds in nature, such as a babbling brook or a nightingale song, for positive human experiences. However, it is unclear whether this positive aesthetic response is driven by a preference for the perceptual features typical of nature sounds versus a higher‐order association of nature with beauty.
Berman , Marc +6 more
openaire +4 more sources
Ambient Sound Recognition using Convolutional Neural Networks [PDF]
E3S Web of Conferences, 2023 Due to its many uses in areas including voice recognition, music analysis, and security systems, sound recognition has attracted a lot of attention. Convolutional neural networks (CNNs) have become a potent tool for sound recognition, producing cutting ...
Chandel Garima +4 more
doaj +1 more source