PocketEAR: An Assistive Sound Classification System for Hearing-Impaired

2019 ◽  
pp. 82-92
Author(s):  
Kamil Ekštein
Keyword(s):  
Classification System ◽  
Hearing Impaired ◽  
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

scholarly journals Digital Assistant for Sound Classification Using Spectral Fingerprinting

2021 ◽  
Vol 9 (8) ◽  
pp. 2045-2052
Author(s):  
Ria Sinha
Keyword(s):  
Machine Learning ◽  
Hearing Impaired ◽  
Audio Signals ◽  
Audio Processing ◽  
Spectral Signatures ◽  
Sound Classification ◽  
Learning Classifier ◽  
Machine Learning Model ◽  
Impaired People ◽  
Impaired Person

Abstract: This paper describes a digital assistant designed to help hearing-impaired people sense ambient sounds. The assistant relies on obtaining audio signals from the ambient environment of a hearing-impaired person. The audio signals are analysed by a machine learning model that uses spectral signatures as features to classify audio signals into audio categories (e.g., emergency, animal sounds, etc.) and specific audio types within the categories (e.g., ambulance siren, dog barking, etc.) and notify the user leveraging a mobile or wearable device. The user can configure active notification preferences and view historical logs. The machine learning classifier is periodically trained externally based on labeled audio sound samples. Additional system features include an audio amplification option and a speech to text option for transcribing human speech to text output. Keywords: assistive technology, sound classification, machine learning, audio processing, spectral fingerprinting

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
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