Implementation of Text to Speech using advanced linux operating system and Single board ComputerFull description
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for english ppt explanation text
Full description
This paper investigates based on Arduino voice generator text to speech robot. Voice generator text to speech robot system is very beneficial in areas where there is high risk for humans to enter. Voice generator text to speech robot system is contro
Presented by Mr.. Sachin Mr Sach in Deshmukh Desh mukh Guided By Prof.S.K.Sonkar
Presentation Flow
Introduction Literature Survey Challenges Algorithms Internal Working Performance Parameters Of The System Advantages Advantages and Disadvantages Disadvantages Conclusion References
Introduction
Introduction and Motivation
History Traditional Method
What is Smart Texting System? System?
What is Need of of Smart Texting System? System?
Overview Of A Smart Texting System
Literature Survey
Literature Survey
1. A Smart Texting System For Android Mobile Users
International Journal of Engineering Research and Applications (IJERA)Mar-Apr 2012.[1]
Literature Survey
2. Android Speech To Text Converter For SMS Application
IOSR Journal of Engineering Mar. 2012.[2]
Literature Survey
3. Real Time Speech To Text Converter For Mobile Users
National Conference on Innovative Paradigms in Engineering & Technology (NCIPET-2012). International Journal of Computer Applications (IJCA).[3]
Literature Survey
4. SMS Application Using Speech To Text Converter Convert er In Android Mobiles
Association for International Journal in Computer Science & Electronics Electronics Volume Volume I Reference Reference ID: aijcse2005.
Literature Survey
5. A Speech-To-Text System
CSI Communications May 2012. Article 2012. Article by Nishant Allawadi Allawadi And Parteek Parteek Kumar Kumar.[5] .[5]
Challenges
Challenges
1.T 1. Text No Norm rmal alizat izatio ion n Challenges
Challenges
2. Text-To-Phoneme Challenges
Challenges
3. Evaluation challenges
Algorithm
Concatenative Synthesi Synthesiss Unit selection Synthesis Diaphone Synthesis Domain-Specific Synthesis Formant Synthesis Articulatory Synthesis HMM-Based Synthesis Sine Wave Synthesis
Working Speech Acquisition
Speech Processing
HMM Training
HMM Based Recognition
Hidden Markov Model
Text Storage
Performance Parameters Of The
System
Accuracy of Recognition Accuracy Recognition Speed of Recognition Recognition
Applications
Applications
1. Healthcar Healthcare e
Applications
2. Hands-Free Computing
Applications
3. Home automation
Applications
4. Speech To Text Convertor
Advantages
Speech is a very natural way to interact, and it is not necessary to sit at a keyboard or work with a remote control. No training training required for users! Assist persons with disabilities who may be vision impaired by reading text
Disadvantages
Even the best speech recognition systems sometimes make errors. If there is noise nois e or some other sound in the room (e.g. the television or a kettle boiling), the number of errors will increase. Speech Recognition works best if the microphone is close to the user (e.g. in a phone, or if the user is wearing a microphone). More distant distan t microphones (e.g. on a table or wall) will tend ten d to increase the number numb er of errors. But speech recognition but the recognition fails because it requires preprocessing after acquiring acquiring of speech. The T he system requires training of voice because of the purpose of it should recognize the correct vvoice oice of that t hat user. user. Suppose S uppose user A having this system in his mobile mobi le his voice should be train so as to get get correct recognition of text.
Future Scope
Conclusion
Reference
[1] A paper on “Smart Texting Texting System For Android Mobile Users” International Journal of Engineering Research and Applications (IJERA)Mar(IJERA)Mar Apr 2012.
Application” [2] A paper on “Android Speech To Text Converter For Sms Application” IOSR Journal of Engineering Mar. 2012.
[3] A paper on “Real Time Speech To Text Converter For Mobile Users” National Conference on Innovative Paradigms in Engineering & Technology (NCIPET-2012). (NCIPET-2012). International Journal Journal of Computer Applications (IJCA). (IJCA).
Appli cation Using Speech To Text Text Converter In [4] A paper on “Sms Application Android Mobiles” Mobiles” Association for International Journal Journal in Computer Computer Science Science & Electronics Volume I Reference ID: aijcse2005. aijcse 2005.
[5] A paper on “A Speech-To-Text System” CSI Communications May 2012. Article by Nishant Allawadi And Parteek Kumar Kumar..
