Spectral Vector Design for Gunfire Sound Classification System with a Smartphone using ANN

2018 ◽  
Author(s):  
Settha Tangkawanit ◽  
Surachet Kanprachar
Keyword(s):  
Classification System ◽  
Sound Classification

Two-layer automatic sound classification system for conversation enhancement in hearing aids1

2008 ◽  
Vol 15 (1) ◽  
pp. 85-94 ◽  
Author(s):  
Enrique Alexandre ◽  
Lucas Cuadra ◽  
Lorena Álvarez ◽  
Manuel Rosa-Zurera ◽  
Francisco López-Ferreras
Keyword(s):  
Classification System ◽  
Sound Classification

Developing a Deep Learning Sound Classification System for a Smart Farming

2020 ◽  
Vol MA2020-01 (26) ◽  
pp. 1853-1853
Author(s):  
Oleksii Kudin ◽  
Anastasiia Kryvokhata ◽  
Vitaliy Ivanovich Gorbenko
Keyword(s):  
Deep Learning ◽  
Classification System ◽  
Sound Classification ◽  
Smart Farming

scholarly journals Deep Learning For Audio

2020 ◽  
Author(s):  
Sai Priyamka Kotha ◽  
Sravani Nallagari ◽  
Jinan Fiaidhi
Keyword(s):  
Deep Learning ◽  
Classification System ◽  
Sound Classification ◽  
Learning Capabilities

Speech is the most efficient and convenient way of communication. The learning capabilities of the deep learning architecture can be used to develop the sound classification system to overcome the efficiency issues of the traditional systems. We propose to develop a model that classifies the audio of the speaker.

Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network

2020 ◽  
Vol 43 (2) ◽  
pp. 505-515 ◽  
Author(s):  
Palani Thanaraj Krishnan ◽  
Parvathavarthini Balasubramanian ◽  
Snekhalatha Umapathy
Keyword(s):  
Neural Network ◽  
Classification System ◽  
Deep Neural Network ◽  
Heart Sound ◽  
Sound Classification

scholarly journals Deep Learning For Audio

2020 ◽  
Author(s):  
Sai Priyamka Kotha ◽  
Sravani Nallagari ◽  
Jinan Fiaidhi
Keyword(s):  
Deep Learning ◽  
Classification System ◽  
Sound Classification ◽  
Learning Capabilities

Speech is the most efficient and convenient way of communication. The learning capabilities of the deep learning architecture can be used to develop the sound classification system to overcome the efficiency issues of the traditional systems. We propose to develop a model that classifies the audio of the speaker.

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