Vector Quantization and MFCC based Classification of Dysfluencies in Stuttered Speech

Journal Title: Bonfring International Journal of Man Machine Interface - Year 2012, Vol 2, Issue 3

Abstract

Stuttering also known as stammering is a speech disorder that involves disruptions or dysfluencies in speech. The observable signs of dysfluencies include repetitions of syllable or word, prolongations, interjections, silent pauses, broken words, incomplete phrases and revisions. The repetitions, prolongations and interjections are important parameter in assessing the stuttered speech. The objective of the paper is to classify the above mentioned three types of dysfluencies using Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) framework. For each dysfluency MFCC features are extracted and quantized to a number of centroids using the K-means algorithm. These centroids represent the codebook of dysfluencies. The dysfluencies are classified according to the minimum quantization distance between the centroids of each dysfluency and the MFCC features of testing sample.

Authors and Affiliations

Mahesha P

Keywords

Related Articles

Analysis on Double Disk Grinding Carry Plate Gearbox

The worm gear in carry plate gear box gets worn out within 2025 hours to 3000 hours of work time. We have design and analysed a standard gear box for reason for failure. The suggested gear box have undergone many constra...

ANN Model to Predict Coronary Heart Disease Based on Risk Factors 

This paper presents a neural network based on Levenberg-Marquardt back-propagation algorithm for prediction of degree of angiographic coronary heart disease. The novelty of this work is training a one hidden layer neural...

Converting Objects in Physical World into Digital World Using Color Recognition

Gestures do speak well than commands. We usually interact computers with GUI based HID devices. It would be more realistic if the Holy Grail gesture based natural interface enables illiterates even to augment machine usa...

Logic for Mode Transition of Autopilots in Lateral Direction for Commercial Aircrafts 

Complexity in autopilot logic design and confusion involved in its mode transition is one of the major reasons for the accidents in highly automated airliner. In this paper we present the usage of a recently proposed arr...

Test Suite Skimming on Agent Based Model using Maximum Clique on a Modified Bee Colony Algorithm

The need for test case skimming is inevitable in almost all arenas of software testing owing to the business constraints on the drop dead date of the date of delivery to pass the QA cycle. Trade-offs are often needed to...

Download PDF file
  • EP ID EP146115
  • DOI 10.9756/BIJMMI.2019
  • Views 147
  • Downloads 0

How To Cite

Mahesha P (2012). Vector Quantization and MFCC based Classification of Dysfluencies in Stuttered Speech. Bonfring International Journal of Man Machine Interface, 2(3), 1-6. https://europub.co.uk/articles/-A-146115