000			02058nam a22002657a 4500
999			_c77259 _d77259
003			CITU
005			20211007161759.0
008			211007b ||||| |||| 00| 0 eng d
082			_a006.3
100	1		_aDuites, Deep Xavier T. _eauthor
245			_aAn application that talks and listens: _bmanipulating text for mobile short messaging system / _cDeep Xavier T. Duites.
300			_avii, 17, A-12, b-14 pages : _c28 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
502			_aThesis (Master in Information Technology) -- Cebu Institute of Technology - University, October 2008.
520			_aText-To-Speech and Speech-To-Text (TTS&STT) application was a tool that converts SMS text (also known as SMS Language, or Textese, or TxtSpk1) into speech and vice versa. It used the English language as its base language. The conversion process used an SMS dictionary of words ? which were stored in a database file, to contrast every SMS text to an English word or an English word to an SMS text. TTS&STT was implemented using Microsoft.NET technology and Microsoft Speech Application?s Programming Interface (SAPI). SAPI aided in the conversion process of both speech recognition and text to speech. The conversion technology was built-in of the Speech API and would not be part of the development of this project. Aside from speech recognition and reading out of text (from a text file, WAV file, or text typed in the user interface) in which the TTS&STT application was capable of, it could also produce a converted SMS text into a text file or into a WAV file. With these types of outputs produced by the TTS&STT application, it could become usable to other applications that rely on speech recognition and text to speech.
650		0	_aApplication software.
650		0	_aArtificial intelligence.
650		0	_aData mining.
650		0	_aDatabase management.
650		0	_aInformation storage and retrieval.
650		0	_aPattern recognition.
942			_2ddc _cT&D