Text to Speech System for Malayalam
نویسندگان
چکیده
Text-to speech (TTS) systems which mainly meant for speech synthesis are, used for one of the South Indian languages called Malayalam. The paper makes a brief study on, Malayalam linguistics, and also gives a comparison between two prominent methodologies for speech synthesis, viz Concatenative based synthesis and HMM based synthesis. As a result, the paper mentions some of the problems facing by Concatenative based TTS systems and thereby, the research goes on with HMM synthesis. The paper also done a proposal for TTS system for Malayalam which is statistical based using HMM’s (Hidden Markov Model).
منابع مشابه
Text Normalization and Unit Selection for a Memory Based Non Uniform Unit Selection TTS in Malayalam
Text to speech synthesis system intended for any language, converts the given text in that language to corresponding speech. The major challenge in TTS system is to generate artificial speech which appears to be natural and intelligible. This is essential for visually impaired people to properly understand and comprehend the generated speech. This paper discuss about text normalization and unit...
متن کاملDevelopment of Speech corpora for different Speech Recognition tasks in Malayalam language
Speech corpus is the backbone of an Automatic speech Recognition system. This paper presents the development of speech corpora for different speech recognition tasks in Malayalam language. Pronunciation dictionary and Transcription file which are the other two essential resources for building a speech recognizer are also being created. Speech recognition performance of different speech recognit...
متن کاملHuman Machine Interface – A Smart OCR for the Visually Challenged
Inclusion of the specially enabled in the IT revolution is both a social obligation as well as a computational challenge in the rapidly advancing digital world today. This paper addresses the integration of a complete Malayalam Text Read-out system designed for the visually challenged. The system accepts a page of printed Malayalam text with English numerals scans it into a digital document whi...
متن کاملImproving the accuracy of pronunciation lexicon using Naive Bayes classifier with character n-gram as feature: for language classified pronunciation lexicon generation
This paper looks at improving the accuracy of pronunciation lexicon for Malayalam by improving the quality of front end processing. Pronunciation lexicon is an in evitable component in speech research and speech applications like TTS and ASR. This paper details the work done to improve the accuracy of automatic pronunciation lexicon generator (APLG) with Naive Bayes classifier using character n...
متن کاملA Sandhi Splitter for Malayalam
Sandhi splitting is the primary task for computational processing of text in Sanskrit and Dravidian languages. In these languages, words can join together with morpho-phonemic changes at the point of joining. This phenomenon is known as Sandhi. Sandhi splitter splits the string of conjoined words into individual words. Accurate execution of sandhi splitting is crucial for text processing tasks ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013