Recognition System for Stuttered Isolated Spoken Marathi Numeric Words

Waghmare, Swapnil D./ Deshmukh, Ratnadeep R./ Sonawane, Babasaheb S.

ISBN 10: 6202066334 / ISBN 13: 9786202066334

Published by LAP LAMBERT Academic Publishing, 2017

About this Item

56 pages. 8.66x5.91x0.13 inches. In Stock.

Seller Inventory # zk6202066334

Bibliographic Details

• Title: Recognition System for Stuttered Isolated Spoken Marathi Numeric Words
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 6202066334
• ISBN 13: 9786202066334
• Binding: Paperback
• Condition: Brand New
• Weight: 0.13 kilograms

About this title

Synopsis

Stuttering is a very complex speech disorder found in an individual. A very common phenomenon is the fast repetition of phonemes, syllable part, syllables, words or word sequences. These repetitions occur more often at the beginning of linguistics units such as words or sentences. Many Marathi people suffered from the same disorder, there are many other symptoms (dysfluencies) like unusual lengthening, blocking of the vocal cords, filled pauses, Speaking without pauses between words, Uncontrolled breathing.The speech recognitions for normal speech has been carried out the recognition systems have been developed with maximum accuracy rate for English and other languages of the developed nations. The research for the developed of speech recognition system for Indian language is also progressing. In this research Design and development of Marathi stuttered speech database from the Marathwada region from Marathi speakers. Exploring basic spectral features such as MFCCs and LPC extracted from entire speech utterances through block processing approach for stuttered speech recognition.

About the Author

Swapnil D. Waghmare received a MCA(Engg & Tech) degree from MIT(E), Aurangabad(MS), INDIA and currently he is persuing Ph.D.(CS) from Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad(MS), INDIA. His research area is Digital Speech Signal Processing, Speech and Hearing Disorder, Big Data Analytics.