Ambient Sound Recognition using Convolutional Neural Networks [PDF]
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
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Causal inference in environmental sound recognition
Abstract Sound 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). A source’s intensity can be inferred
Traer, James +2 more
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Recognition of Aircraft Engine Sound Based on GMM-UBM Model [PDF]
Gaussian mixture model-universal background model (GMM-UBM) is a commonly-used speaker recognition technology, and which has achieved good effect for detection speaker’s sound.
Yuan Shuai, Sun Chengli, Yang Haoge
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Recognition method of coal mine gas and coal dust explosion based on sound spectrogram and SVM
In order to improve the detection accuracy of coal mine gas and coal dust explosion, recognition method of coal mine gas and coal dust explosion based on the sound spectrogram and SVM was proposed: installing mining pickups in key monitoring areas of ...
SUN Jiping, YU Xingchen, WANG Yunquan
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Recognition of sounds by ensembles of proteinoids
Abstract Proteinoids are artificial polymers that imitate certain characteristics of natural proteins, including self-organization, catalytic activity, and responsiveness to external stimuli. This paper investigates the potential of proteinoids as organic audio signal processors.
Panagiotis Mougkogiannis +1 more
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Prototypical System to Detect Anxiety Manifestations by Acoustic Patterns in Patients with Dementia [PDF]
INTRODUCTION: Dementia is a syndrome characterised by a decline in memory, language, and problem-solving thataffects the ability of patients to perform everyday activities.
Netzahualcoyotl Hernandez +9 more
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Evaluation of acoustic pattern recognition of nightingale (Luscinia megarhynchos) recordings by citizens [PDF]
Acoustic pattern recognition methods introduce new perspectives for species identification, biodiversity monitoring and data validation in citizen science but are rarely evaluated in real world scenarios. In this case study we analysed the performance of
Marcel Stehle +3 more
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Lung Sound Signal Recognition Based on Dual-Source Domain Transfer Learning [PDF]
In current lung sound recognition methods, problems include model overfitting and low classification accuracy caused by the small size of the lung sound dataset.Therefore, a lung sound recognition method based on dual-source domain transfer learning is ...
Shanshu BAO, Bo CHE, Linhong DENG
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Environmental sound recognition: A survey [PDF]
Although research in audio recognition has traditionally focused on speech and music signals, the problem of environmental sound recognition (ESR) has received more attention in recent years. Research on ESR has significantly increased in the past decade.
Sachin Chachada, C.-C. Jay Kuo
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A PROPOSED SYSTEM TO DEFINE STUDENT IDENTITY THROUGH SOUND RECOGNITION TECHNIQUES [PDF]
This paper presents a framework for a proposed Sound recognition system to identify sound of human and detect who is the speaker. The presented system is an approach for identification sound through Wavelet and pattern recognition.
M.F. El Atwi +2 more
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