03-07-2013, 04:11 PM
A Smart Texting System For Android Mobile Users
A Smart Texting System.pdf (Size: 309.18 KB / Downloads: 87)
Abstract:-
The importance of mobile phone is increases day by day and everyone wants such a mobile system which can make
users work simpler. Mobile phone usage in world is spreading rapidly and is gone through many new technological
changes. The SMS user may want the faster and easier way of texting. This paper is based on evaluating voice of the
user against the keypad for editing the text. An important innovation in SMS technology is the speech recognition
technology which converts voice messages into text messages. In other words, we can say messages can be speech
typed. A speech to text converter is developed to send SMS. The paper will make use of dictating machine prototype
for English language. It is found that large vocabulary speech recognition can offer an easy way of text entry.
Introduction
The paper will make use of a dictating-machine prototype for the English language. A speech to text converter is
developed for the SMS application, this system will use recognition technology that can convert voice messages into
text messages. The conception of the Android platform is attracting more and more programmers in mobile
computing fields.
Android is a package of software for mobile devices, including an operating system, middleware and core
applications. The Android SDK provides powerful tools and APIs necessary to develop applications on the Android
platform using the Java programming language. During speech acquisition, speech samples are obtained from the
speaker in real time and stored in memory for pre-processing. Speech acquisition requires a voice recorder in mobile
phone that has the proper amplification to receive the voice speech signal, sample it, and convert it into digital
speech. Generally, pre-processing involves taking the speech samples as input, blocking the samples into frames,
and returning a unique pattern for each sample. The system will identify useful or significant samples from the
speech signal. To accomplish this goal, the system divides the speech samples into overlapped frames.
Related Work
Speech technology can use composition, transcription, transaction and collaboration dialog based on particular
domain [1]. Natural Language Understanding (NLU) and speech recognition are two independent technologies.
When these two technologies can be combined, it provides the powerful human-computer interaction (HCI). Natural
language understanding has been an active area research for decades. Since then, the field of Artificial Intelligence
(AI) has evolved researchers are borrowing ideas from the fields of mathematics, linguistics, psychology and
philosophy. From the research of long decades it can be derived that the conventional computer programs and
procedural paradigms were not suited for the challenge at hand. By procedural paradigms I am referring to task
oriented programming, such as a program written in a 3rd generation language like COBOL, Fortran, or C [2].
Completely different languages and tools had to be created to help the development of Conversational Systems, such
as Lisp (based on Lamda Calculus), Prolog (based on predicate calculus), Small Talk (based on objects), semantic
nets, frames, etc.
Analysis Of Problem
-The system acquires speech through a voice recorder and processes the sampled speech to recognize the uttered
text.
-A speech-to-text system can also improve system accessibility by providing data entry options for blind, deaf, or
physically handicapped users.
-Many people will have to use their cell phones while driving even though it is illegal to do so. Road accidents may
occur because drivers that using cell phones definitely cannot fully concentrate on the driving.
-An important innovation in SMS technology lately is the speech recognition technology that can convert voice
messages into text messages.
-A such a system would enable deaf users to communicate with each other
Enable user to send massages without use of keypad to type massage in the form of original fully spelled world.
-It is a standalone system for converting speech to text without using a PC for recognition.
Conclusion
This paper based on evaluating voice versus keypad as a means for entry and editing of texts. An important
innovation in SMS technology lately is the speech recognition technology that can convert voice messages into text
messages. In other words, messages can be voice/speech typed. The paper will make use of a dictating-machine
prototype for the English language, which recognizes in real time natural-language sentences built from a 2000-
word vocabulary.This paper will demonstrate the requirement of speech to text conversion system and also it shows
how we can construct the STT(Speech to Text) for mobile users. When we are taking about mobile the main
memory requirement we have consider here because we are using already existing database and that is safe and
system will work faster this is the main advantage of this system.