Authors are under procedure to develop Gujarati Text to speech(TTS) synthesis system using concatenation of Gujarati phonemes for unrestricted input Gujarati text. In this methodology, Gujarati phonemes are needed to record and store as speech database. This paper describes a flexible procedure to develop speech database in . wav format. This method is simple to implement which uses less memory...

We introduce the unsupervised text annotation model UTA, which iteratively populates a document-specific database containing the related symbolic content description. The model identifies the most related documents using the text of documents and the symbolic content description. UTA extends the database of one document with data from related documents without ignoring the precision.

Authors are under procedure to develop Gujarati Text to speech(TTS) synthesis system using concatenation of Gujarati phonemes for unrestricted input Gujarati text. In this methodology, Gujarati phonemes are needed to record and store as speech database. This paper describes a flexible procedure to develop speech database in . wav format. This method is simple to implement which uses less memory...

Authors are under procedure to develop Gujarati Text to speech(TTS) synthesis system using concatenation of Gujarati phonemes for unrestricted input Gujarati text. In this methodology, Gujarati phonemes are needed to record and store as speech database. This paper describes a flexible procedure to develop speech database in . wav format. This method is simple to implement which uses less memory...

Text mining, as one major school in Knowledge Discovery in Data (KDD), mines hidden patterns, rules, regularities and trends from textual data / non-database-data (i.e., text files, web documents, etc.). It is quite different from data mining (another well-known major school in KDD): the data structure of texts, dealt by text mining, is considered implicit, whereas traditional database-data, de...

The detection and extraction of text regions in an image is a well known problem in the computer vision research area. Text extraction is a critical and essential step as it sets up the quality of the final recognition result. It aims at segmenting text from background, i.e isolating text pixels from those of background. Since readymade mixed mode image data is not available, it is necessary to...

A multi database model of distributed information retrieval is presented in which people are assumed to have access to many searchable text databases In such an environment full text information retrieval consists of discovering database contents ranking databases by their expected ability to satisfy the query searching a small number of databases and merging results returned by di erent databa...

This paper describes a simple yet generic database implementation framework for medium sized datasets, as they occur during tests and applications of automated theorem provers. The implementation covers automatic extraction of database objects from a set of text les, a text-based interface for simple database operations, and a tool for document, report and Webpage generation. This paper refers ...