CNN Based Speech Enhancement for Hearing Impaired
Objective
This work aims to enhance speech clarity for the hearing impaired using a CNN-based model. The system improves speech intelligibility by reducing noise and distortions in real-time.
Abstract
This paper proposes a Speech Enhancement (SE) technique utilizing a multi-objective learning convolutional neural network (CNN) to improve speech quality for Hearing Aid (HA) users. Implemented as a smartphone application, it provides real-time noise reduction, enhancing speech intelligibility in noisy environments. The architecture integrates primary and secondary audio features, optimizing noise removal while minimizing latency and processing delay. The method is compared with existing SE techniques, demonstrating significant improvements in speech quality and intelligibility. Key contributions include the successful deployment of this solution as a practical, everyday tool for HA users. The approach balances effective noise suppression with low processing requirements, ensuring seamless performance on mobile devices. Comprehensive evaluations show substantial advancements over traditional SE methods, making it a promising solution for enhancing auditory experiences in challenging acoustic environments. This work highlights the potential of real-time SE for improving quality of life for HA users.
Keywords: Speech Enhancement, Hearing Aid, Convolutional Neural Network, Noise Reduction, Real-Time Processing, Speech Quality, Speech Intelligibility, Mobile Application, Audio FeaturesNOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software requirements:
• MatlabR2022b.
Hardware requirements:
Operating Systems:
• Windows 10
• Windows 7 Service Pack 1
• Windows Server 2019 & 2016.
Processors:
Minimum: Any Intel or AMD x86-64 processor.
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support.
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation.
Recommended: An SSD is recommended a full installation of all Math Works products may take up to 29 GB of disk space.
RAM: Minimum 4 GB but recommended 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is Communication?
· About Communication
· Introduction to Communication
· How Communication Works?
· Importing the System Design, Characterization and Visualization
· Analyzing of BER tool
· Analyzing of Error Rate Test Console
· Generation of WSN
· WSN network creation
· Nodes Communication
· Clustering
· Routing
· Convolutional
· Equalization and Synchronization etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
Paper Publishing
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