Bi-Lingual Text to Speech Synthesis System for Urdu and Sindhi

نویسندگان

  • Azhar Ali Shah
  • Abdul Wahab Ansari
  • Lachhman Das
چکیده

Text to Speech Synthesis along with the Speech Recognition is widely used throughout the world to enhance the accessibility of the information and enable even the disabled persons to interact with the computers in order to get the potential benefit from this high-tech revolution. In this paper we introduce a bi-lingual novel algorithm for the synthesis of Urdu and Sindhi language text. The devised bi-lingual algorithm uses knowledge based approach along with the hybrid rule based and concatenative acoustic methods to provide efficient and accurate conversion of Urdu and Sindhi text into the high quality speech. The algorithm has been implemented in the VB programming language with a GUI based interface. The proposed system works with high accuracy and has a great potential to be used for variety of applications. The system is versatile enough and can be used for speech recognition also.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Accent Classification among Punjabi , Urdu , Pashto , Saraiki and Sindhi Accents of Urdu Language

Automatic Speech Recognition (ASR) is a key component in Human Computer Interaction (HCI) applications. Stability of ASR systems largely depends on accent, gender, age of speakers, background noise and channel variations. In this paper, a study has been conducted to classify five different accents of Urdu language spoken in Pakistan i.e. Punjabi, Urdu, Pashto, Saraiki and Sindhi. Speech data ha...

متن کامل

Experiments with Unit Selection Speech Databases for Indian Languages

This paper presents a brief overview of unit selection speech synthesis and discuss the issues relevant to the development of voices for Indian languages. We discuss a few perceptual experiments conducted on Hindi and Telugu voices. 1 Role of Language Technologies Most of the Information in digital world is accessible to a few who can read or understand a particular language. Language technolog...

متن کامل

Instant Diacritics Restoration System for Sindhi Accent Prediction using N-Gram and Memory-Based Learning Approaches

--The script of Sindhi Language is highly complex due to many complexities including abundance of homographic words. The interpretation of the text turns so tough due to the possibility of multitudinal meanings associated with a homographic word unless given specific pronunciation with the help of diacritics. Diacritics help the readers to comprehend the text easily. Due to the rapidly developi...

متن کامل

Phonological Processing for Urdu Text to Speech System

Determining and modeling phonological phenomena is necessary to generate speech from textual input. These phenomena include letter to sound conversion, syllabification, sound change, stress assignment and intonation assignment. This paper presents work on Urdu phonological processes and provides algorithms to convert textual input into phonologically annotated output, required for Urdu text-to-...

متن کامل

Letter-To-Sound Conversion For Urdu Text-To-Speech System

Urdu is spoken by more than 100 million people across a score countries and is the national language of Pakistan (http://www. ethnologue.com). There is a great need for developing a text-to-speech system for Urdu because this population has low literacy rate and therefore speech interface would greatly assist in providing them access to information. One of the significant parts of a text-to-spe...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004