An introduction to text-to-speech synthesis
An introduction to text-to-speech synthesis
Sinhala grapheme-to-phoneme conversion and rules for schwa epenthesis
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Developing lexicographic sorting: An example for Urdu
ACM Transactions on Asian Language Information Processing (TALIP)
Hindi Urdu machine transliteration using finite-state transducers
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A hybrid model for Urdu Hindi transliteration
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
An Information-Extraction System for Urdu---A Resource-Poor Language
ACM Transactions on Asian Language Information Processing (TALIP)
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Speaker independent Urdu speech recognition using HMM
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Large vocabulary continuous speech recognition for Urdu
Proceedings of the 8th International Conference on Frontiers of Information Technology
| Hi-index | 0.00 |
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-speech system is a natural language processor which takes textual input and converts it into an annotated phonetic string. To enable this, it is necessary to develop models which map textual input onto phonetic content. These models may be very complex for various languages having unpredictable behaviour (e.g. English), but Urdu shows a relatively regular behaviour and thus Urdu pronunciation may be modelled from Urdu text by defining fairly regular rules. These rules have been identified and explained in this paper.