Speech recognition
the aim of this research is to indigenously develop the state of the art of software based system for recognition and classification of speech disorder in adult and children ( male and female both). this project might be the step to provide platform for speech therapy clinics to execute effective pr
Project Title
Speech recognition
Project Area of Specialization
Project Summary
the aim of this research is to indigenously develop the state of the art of software based system for recognition and classification of speech disorder in adult and children ( male and female both). this project might be the step to provide platform for speech therapy clinics to execute effective pronouciation analysis system for patient with speech disorder, even in the absence of clinicians. the software will help patients to identify the language learning disability (LLD) using novel technique, which is a concurrent approarch that may help earlier disgnosis and remediation. the major of this project is intelligent software for automatic recognition and classification of speech disorder.
Project Objectives
1. To design and develop speech disorder recognition and classification system using multiple feature extraction technique for better accuracy.
2. To investigate the limitations of the existing speech disorder datasets.
Project Implementation Method
signal processing MATLAB
Benefits of the Project
- It is nearly hands free way for clinicians to enter data and fill out a patient’s electronic chart.
- It can safe time of the clinical staff.
3. The record can be saved.
Technical Details of Final Deliverable
Speech Corpus
Feature Extraction Method
Feature Vector
| Final Software |
Final Software
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Elapsed time in (days or weeks or month or quarter) since start of the project | Milestone | Deliverable |
|---|---|---|
| Month 1 | Algorithms for forming a combined feature vector for recognition. Developing Artificial Intelligence Algorithm for speech recognition Train & test the model for training dataset Final Classification | Speech Corpus Feature Extraction Method Feature Vector Final Software |
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