Results 11 to 20 of about 122,402 (297)

Ambient Sound Recognition using Convolutional Neural Networks [PDF]

open access: yesE3S 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   +2 more sources

Causal inference in environmental sound recognition

open access: yesCognition, 2020
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
openaire   +3 more sources

Recognition of Aircraft Engine Sound Based on GMM-UBM Model [PDF]

open access: yesMATEC Web of Conferences, 2017
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
doaj   +2 more sources

Recognition method of coal mine gas and coal dust explosion based on sound spectrogram and SVM

open access: yesMeitan kexue jishu, 2023
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
doaj   +1 more source

Recognition of sounds by ensembles of proteinoids

open access: yesMaterials Today Bio, 2023
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
openaire   +3 more sources

Prototypical System to Detect Anxiety Manifestations by Acoustic Patterns in Patients with Dementia [PDF]

open access: yesEAI Endorsed Transactions on Pervasive Health and Technology, 2019
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
doaj   +1 more source

Evaluation of acoustic pattern recognition of nightingale (Luscinia megarhynchos) recordings by citizens [PDF]

open access: yesResearch Ideas and Outcomes, 2020
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
doaj   +3 more sources

Lung Sound Signal Recognition Based on Dual-Source Domain Transfer Learning [PDF]

open access: yesJisuanji gongcheng, 2023
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
doaj   +1 more source

Environmental sound recognition: A survey [PDF]

open access: yes2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013
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
openaire   +1 more source

A PROPOSED SYSTEM TO DEFINE STUDENT IDENTITY THROUGH SOUND RECOGNITION TECHNIQUES [PDF]

open access: yesمجلة بحوث التربية النوعية, 2014
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
doaj   +1 more source

Home - About - Disclaimer - Privacy