Course Instructors : Dr. Anil Vuppala All Assignments & Projects done as a part of ECE 448 Course .
- Assignment 1
- Based on primary concepts of Corticulation , Phonation , Fundamental Frequency, Detection of Vowel Regions , etc
- Assignment 2
- Based on detection of Voiced & Unvoiced regions , Time-domain plots , Zero-Crossing etc .
- Assignment 3
- Based on STFT, Spectrogram Cepstrum , Liftered Signal & MFCCs .
- Assignment 4
- Based on LP Residual & Synthesis-Analysis of Linear Prediction .
- Assignment 5
- Based on Prosody Features , GVV & ZFF Algorithms .
We worked on Classification of Speech Disorder using Support Vector Machine ( SVMs ) where we designed the features to optimise well with the sparse dataset ( 200 samples ) . After reading up a lot of researcg papers , we explored various speech based features like Jitter , Shimmer , Mel Frequency Coeffs (MFCC) & LP Residuals. This work is a joint effort of me and my batchmate Varsha Redla . Our best model accuracy was 95.1 % using XGBoost Algorithm . We thank our project head ( Anshul ) and our course instructor ( Anil Sir ) for letting us explore this wonderful domain .