Image Acquisition Recognition And Speech Conversion

dc.contributor.authorSomwanshi, Devendra Kumar
dc.contributor.supervisorKaur, Gagandeep
dc.date.accessioned2009-09-15T06:11:44Z
dc.date.available2009-09-15T06:11:44Z
dc.date.issued2009-09-15T06:11:44Z
dc.description.abstractThe present growth of digitization of books and manuscripts demands an immediate solution to access them electronically. In the last three decades significant advancement is made in the recognition of documents written in Latin-based scripts. There are many excellent attempts in building robust document analysis systems in industry, academia and research labs. While in text to speech, there are many systems which convert normal language text in to speech. This thesis aims to study on image recognition technology (Optical Character Recognition) with speech synthesis technology and to develop a cost effective user friendly image to speech conversion system using MATLAB. In this work we tried to make a system by which we can get the text through image and then speech through that text using MATLAB. The primary motivations are to provide users with a friendly vocal interface with the computer and to allow people with certain handicaps (such as blindness, dumbness, poor vision, visual dyslexia) to use the computer or to read any type of documents. The tremendous recent developments in speech and computer technology have produced unrestricted-vocabulary speech synthesis on PCs in English and some other European languagesen
dc.format.extent2017727 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10266/962
dc.language.isoenen
dc.subjectImage Acquisitionen
dc.subjectSpeech Conversionen
dc.titleImage Acquisition Recognition And Speech Conversionen
dc.typeThesisen

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
962.pdf
Size:
1.72 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description: