MARATHI TEXT-TO-SPEECH SYNTHESISYSTEM FOR ANDROID PHONES

Transcription

1 International Journal of Advances in Applied Science and Engineering (IJAEAS) ISSN (P): ; ISSN (E): X Vol. 3, Issue 2, May 2016, IIST MARATHI TEXT-TO-SPEECH SYNTHESISYSTEM FOR ANDROID PHONES DEOVRAT RAIKAR 1, OMKAR PHADKE 2 1,2 Computer Department,K.G.C.E. Karjat rdevavrat@gmail.com, omkar.phaadke93@gmail.com ABSTRACT In recent times, mobile phone usage has increased in comparison to personal desktop computers. It is convenient to use interactive Handheld devices. Various mobile operating systems are available in today s market, such as, Symbian, ios, windows, But the most used mobile operating system is Android. Android has the biggest platform among all the other operating systems. It is the most adaptive operating system. Number of android based applications are increasing day by day. One such interactive user based android application is Text-to Speech Synthesis System. Various Text-to-Speech working models are currently being used among various android applications. Our objective is to study and compare different Text-to-Speech synthesis models. KEYWORDS Android Operating System; Phenomes; Text-to-Speech (TTS) Synthesis. I. INTRODUCTION In recent years, mobile phones have become a very important part of our lives. Mobile phones have really changed the way of communications. Mobile phones are the most used communication tool today. In the past decade, mobile phones have managed to replace the common desktop computers in our homes, due to ease of access. Mobile phones are more user friendly and more interactive than the desktop computer systems. Mobile phones are driven by various different operating systems like Symbian, Windows, ios, but the most used and most popular of them is the Android Operating System. Being an open source platform, Android operating system is used by many people for development purposes. Android system has a facility to provide vocal interface to the user. One such application is the Text-to Speech Synthesis system. In TTS system, the user will enter the input into the mobile phone in Text format and the application will process this input and convert and present the output into vocal format. This TTS application is useful for the visually disabled or illiterate users who will be able to access their s or SMS or any other text in terms of vocal output. Also, TTS system is also beneficial for those who want to access their s or SMS or any other text input while engaged in some other work like driving, jogging, etc. II. ANDROID ARCHITECTURE Android is a mobile operating system which is currently developed by google. It is based on Linux Kernel and is popularly used by touch interface devices. Android s user interface is based on direct touch manipulations like swiping, pressing, clicking, pinching, etc. In addition to the touchscreen devices, Google has also made Android available for nontouch devices like Televisions, Cars, Refrigerators, Digital Cameras, etc. Android Operating system is designed and architected in the form of several different layers or in a stack formation. This software stack comprises of applications, an operating system, run-time environment, middleware, services and libraries. The overall android system structure is based upon the Linux Kernel, which is positioned at the bottom of Android Software Stack and provides an abstract between the device hardware and the upper layers of Android Software Stack. Android Architecture consists of following- Linux Kernel. Libraries. Android Runtime. Application Framework. Applications. All the above mentioned layers in the Android Software Stack work together to run a particular application. Linux Kernel is the base of the Android Architecture and is situated at the root of Android Software Stack. It helps in creating an abstraction between the hardware and the software and is responsible for device drivers, power management, memory management, device management and resource acces. On the top of the Linux Kernel, we have Libraries consisting of WebKit, OpenGL, FreeType, SQLite, Media, C runtime library (libc) etc. Android Runtime consists of core libraries and Dalvik Virtual Machine (DVM) which is responsible to run an Android application. DVM is like JVM but it is optimized for mobile devices. It consumes less memory and provides fast performance. Android framework includes Android API's such as UI (User Interface), telephony, resources, locations, Content Providers 34

2 Marathi Text-To-Speech Synthesisystem For Android Phones (data) and package managers. It provides a lot of classes and interfaces for android application development. On the top of android framework, there are applications. All applications such as home, contact, settings, games, browsers are using android framework that uses android runtime and libraries. Fig.1 ANDROID ARCHITECTURE III. TEXT TO SPEECH (TTS) SYSTEM METHODOLOGY Text-to-speech system is used in order to convert text into voice using a speech synthesizer. It is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer. The objective of TTS system is to convert an arbitrary given text into a corresponding spoken waveform. The objective of the text processing component is to process the given input text and produce appropriate sequence of phonemic units. Following is a flow chart of basic TTS system. In TTS system, concatenative synthesis technique is used by recording real life voices for all the sound segments; then concatenating it to produce real life speech output. The user first enters an input text into a textbox. This input text is analyzed by Text Analyzer. The input text is first checked for the positions of vowels and consonants in the text Word segmentation is used in order to separate each and every word in the input text sentence. Phenome segmentation phase is then conducted. This phase first analyses the positions of vowels and consonants in a word and then segments the words into phonemes as a vowel and consonant vowel combination. A database must be created in order to record all possible phenomes of the language. The phenome consists of two type of symbols- V Vowels CV Combination of consonant and vowel. The words which are now divided into phenomes are now searched for in the TTS database. The TTS database must consist of two fields wiz- word and filename. The word field contains of the phenome and its corresponding filename consists of the sound file. Now the phoneme is searched in the database and retrieves the filename, which is further searched in the application resources for its corresponding sound wave file to get played. Further, these sound files of the corresponding phenomes will now be concatenated to generate the sound corresponding to thee input text. Another phase, known as Text Normalization Phase is used in order to normalize the process of text to speech conversion. The input text is a raw text containing the abbreviations, special symbols and numeric values are first searched and then replaced with their expanded form, so that they are spoken in full word form. The entered text is then segmented into words. All the symbols like commas or full stops will be replaced by appropriate sounds or pauses. The final step is concatenation of all these words and generating the complete vocal translation for the corresponding input text. 35

3 Marathi Text-To-Speech Synthesis System For Android Phones FIG.2 BLOCK DIAGRAM OF TEXT-TO-SPEECH SYNTHESIS 36

4 Marathi Text-To-Speech Synthesisystem For Android Phones IV. RELATED WORK TTS systems have been developed for many platforms like desktop computers, mobile phones, etc. However even in mobile phones most applications are developed for English Language. Various TTS applications have now been developed for other languages. Ahlawat and Dahiya developed English and Hindi TTS systems for the Android environment [1] Mukherjee and Mandal developed a Bengali TTS synthesis system for the Android devices [2] using ESNOLA (Epoch Synchronous Non Overlap Add) technique based on concatenative speech synthesis technique. Kaur and Singh [3] developed a Punjabi speech synthesizer for android mobile devices using a concatenative method. V.PROPOSED SYSTEM PROPOSED MARATHI TEXT-TO-SPEECH SYNTHESIS SYSTEM- On the basis of the work already developed by, Kaur and Singh developed a Punjabi speech synthesizer for android mobile devices, we proposed a Marathi Text-to-Speech Synthesis system. For this we have to create a Marathi Speech database and store all the possible recorded phenomes of Marathi language. Following fig. illustrates the Consonants and vowels of Marathi language. Total number of Vowels(V): -12 Total number of Consonants(C): - 36 Total number of Consonants and Vowels combinations(cv): We will thus record all this phenome and create a Marathi speech database. The rest of the procedure will be similar to the Procedure proposed by Kaur and Singh [3]. VI. ADVANTAGES Assist persons with disabilities who may be vision impaired by reading text Save eye strain relax, sit back and listen Help writers improve by listening to your work Assist second language students by expanding their experience and understanding through listening to any text at any speed Natural human voices and lots of choice (languages, accents, gender) for listening pleasure and variet Can help improve spelling, reading, comprehension and writing skills Speech Synthesis systems can be adapted easily to say whatever users want them to say. For example, for a medication reminder system that uses a synthetic voice, changes in medication or in the medication regime are no problem. In contrast, a system that uses a human voice might need new data might to be recorded. Typical Speech Synthesis systems offer a range of different accents and voices, whereas systems that use pre-recorded human voices may offer only one or two. VII. DISADVANTAGES Despite large improvements, Speech Synthesis can still sound a little unnatural. The approaches to Speech Synthesis that yield the most natural speech need considerable resources. VIII. CONCLUSION In this paper, we have described how the phonological attributes of Marathi orthography may be used to develop a text-to-speech system. The phonetic nature of the language was surveyed, and the set of rules for deriving these sounds using the orthography were made explicit and carefully deconstructed. Although the work done is not complete as it has been done until determining the linguistic features of Marathi text while the final signal processing aspect of the task are un explored. In the near future we would love to complete the text-to-speech system, the text to speech system that is able to be useful to the people in need FIG.3 TABLE FOR MARATHI CONSONANTS AND VOWELS 37

5 Marathi Text-To-Speech Synthesis System For Android Phones REFERENCES [1] S. Ahlawat and R. Dahiya, A Novel Approach of Text To Speech Conversion Under Android Environment, International Journal of Computer Science & Management Studies (IJCSMS), 13(5), 2013, [2] S. Mukherjee and S.K.D. Mandal, A Bengali Speech synthesizer on Android OS, Proc. 1st ACM Workshop on Speech and Multimodal Interaction in Assistive Environments (SMIAE), Jeju, Republic of Korea, 2012, [3] J. Kaur and P. Singh, Punjabi Speech Synthesis System for Android Mobile Phones, International Journal of Engineering and Computer Science (IJECS), Vol. 3, No. 9, pp , [4] Suhas.R.Mache, Manasi.R.Baheti, C. Namrata Mahender, Review on Text-To-Speech Synthesizer, International Journal of Advanced Research in Computer and Communication Engineering,Vol. 4, Issue 8, August 2015 [5] 38