International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,May 2016,

Topic : Automatic Recognition for Instances of Repetitions in Stuttered Speech using Sequence Training Algorithm

Authors:G. Manjula || Dr. M. Shiva Kumar

Abstract:Stuttering is a speech disorder in which normal flow of speech is messed out by occurrences of dysfluencies. There are high proportion of prolongations and repetitions in stuttered speech. Stuttered speech recognition technology is a great aid to admit the challenges and it is a prominent technology for Human-computer Interaction . Conventionally, stuttering assessment is done by counting number of dysfluent words as a proportion of total words in a passage. Stuttering assessment is also done by measuring the time of dysfluencies and comparing with the duration of the entire passage. However, it is time-consuming and it results in poor agreement with different individuals assessing the same speech data. Therefore, automatic stuttered speech recognition system is used to automate the dysfluency count and type of dysfluency classification, thus providing an objective and consistent assessment of stuttered speech. Such approach can support Speech Language Pathology (SLP) by doing tedious routine works and allowing more time for therapeutic session between SLP and stutterers. Instances of repetitions in stuttered speech are recognized by using back propogation based sequence training method. Artificial neural network is used to make intelligence through the learning process. In this work Multi-layer Feed forward Network and error back propagation learning algorithm is used to train the network. The combination of the artificial neural network and the back propagation algorithm is the sequence training technique. The experimental investigations reveal that the proposed method shows promising results in identifying the instances of repetitions in stuttered speech.

Keywords: Stuttered speech recognition, Sequence training, Back Propagation, PRAAT tool

Download Paper


DOI: 01.1617/vol3iss5pid296


Related Articles

Design and Implementation of nRF Based Smart Home System Using IoT

Authors: J.Krishna Chaithanya || Dr. T. Ramashri

Doi : 01.1617/vol4iss3pid024

Volume4 ,March 2016.

Real-Time Vehicle Tracking Using GSM & GPS with Location Display on Google Maps Using Raspberry Pi

Authors: J.Krishna Chaithanya || Dr. T. Ramashri

Doi : 01.1617/vol4iss3pid025

Volume4 ,March 2016.

Obstacle Avoiding Intelligent Robot

Authors: Prof.S. B. Mandlik || Miss.Kshirsagar Snehal D , Miss. Gaikwad Jyoti B , Miss.Wagh Varsha S , Miss. Ingale komal M

Doi : 01.1617/vol4iss3pid026

Volume4 ,March 2016.

Increased Learning In Retinal Blood Vessel Segmentation Approach Based on Fuzzy-C Means Clustering and Mathematical Morphology

Authors: Naluguru Udaya Kumar || Tirumala Ramashri

Doi : 01.1617/vol4iss3pid027

Volume4 ,March 2016.

A Review on Atmospheric Effects on Free Space Optical Link

Authors: Shaik.Taj Mahaboob || A.Sree Madhuri

Doi : 01.1617/vol4iss3pid028

Volume4 ,March 2016.

Efficient Medical Image Compression based on Region of Interest

Authors: S. Muni Rathnam || T. Ramashri

Doi : 01.1617/vol4iss3pid029

Volume4 ,March 2016.

CBIR Based Crack Detection System for Surface Traffic

Authors: Dr.Abraham Mathew || Dr.S. Saravanan, Dr. P. Mohanaiah

Doi : 01.1617/vol4iss3pid030

Volume4 ,March 2016.

IOT Based Digital Notice Board

Authors: K.Dinesh || M.Siva Ramakrishna

Doi : 01.1617/vol4iss3pid031

Volume4 ,March 2016.

Automatic Monitoring and Controlling of Greenhouse System using Zigbee

Authors: G. Hima Bindu || K. Lokesh Krishna , K. Hemalatha

Doi : 01.1617/vol4iss3pid032

Volume4 ,March 2016.

Hybrid Image Classification using ACO with Fuzzy Logic for Textured and Non-Textured Images

Authors: Subba Rao K || Dr. Sambasivarao N , Dr. Sammulal P

Doi : 01.1617/vol4iss3pid033

Volume4 ,March 2016.



Editor-in-Chief

Editor Image

Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


View more

IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

Google Scholar Profile

Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

All Issues


DOWNLOAD

Copy-Right Form Paper Template

ACCEPTANCE RATIO

ACCEPTANCE RATIO: 29.74%
ARTICLES PUBLISHED:0489
PAPER RECEIVED:01630
Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
Contact : info@ijerece.com

IFERP OTHER JOURNALS


Subscribe

           Email:

SOCIAL MEDIA