Morphological Analysis for a German Text-to-Speech System

نویسندگان

  • Amanda Pounder
  • Markus Kommenda
چکیده

A c e n t r a l p r o b l e m in s p e e c h s y n t h e s i s w i t h u n r e s t r i c t e d v o c a b u l a r y i s t h e a u t o m a t i c d e r i v a t i o n of c o r r e c t p r o n u n c i a t i o n f rom t h e g r a p h e m i c form of a t ex t . The s o f t w a r e modu le GRAPHON w a s d e v e l o p e d to p e r f o r m t h i s c o n v e r s i o n f o r German a n d i s c u r r e n t l y b e i n g e x t e n d e d b y a m o r p h o l o g i c a l a n a l y s i s c o m p o n e n t . T h i s a n a l y s i s i s b a s e d on a m o r p h l ex i con a n d a so t o f r u l e ~ a n d s t r u c t u r a l d e s c r i p t i o n s f o r German w o r d f o r m s . I t p r o v i d e s e a c h t e x t i n p u t i t em w i t h an i n d i v i d u a l c h a r a c t e r i z a t i o n s u c h t h a t t h e phonolog ica l~ s y n t a c t i c , a n d p r o s o d i c c o m p o n e n t s may o p e r a t e u p o n i t . T h i s s y s t e m a t i c a p p r o a c h tht~s s e r v e s to minimize t h e n u m b e r of w r o n g t r a n s c r i p t i o n s a n d a t t h e same t ime l a y s t h e f o u n d a t i o n f o r t h e g e n e r a t i o n of s t r e s s a n d i n t o n a t i o n p a t t e r n s , y i e l d i n g more i n t e l l i g ib l e~ n a t u r a l s o u n d i n g , a n d g e n e r a l l y a c c e p t a b l e s y n t h e t i c

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

Multilingual text analysis for text-to-speech synthesis

We present a model of text analysis for text-to-speech (TTS) synthesis based on (weighted) finite-state transducers, which serves as the text-analysis module of the multilingual Bell Labs TTS system. The transducers are constructed using a lexical toolkit that allows declarative descriptions of lexicons, morphological rules, numeral-expansion rules, and phonological rules, inter alia. To date, ...

متن کامل

Word and syllable models for German text-to-speech synthesis

The correct pronunciation of unknown or novel words is one of the biggest challenges for text-to-speech systems. In this paper we describe the implementation of unknown word analysis as a central component of the text analysis module in the Bell Labs German text-to-speech system. The implementation is based on a model of the morphological structure of words and on the study of the productivity ...

متن کامل

A Syntactic and Morphological Analyzer for a Text-to-Speech System

This paper presents a system which analyzes an in'put text syntactically and morphologically and converts the text from the graphemic to the phonetic :representation (or vice versa). We describe the grammar formaSsm used and report a parsing experiment which compared eight parsing strategies within the :h'amework of chart parsing. Although the morphological and syntactic analyzer has been devel...

متن کامل

Text analysis and language identification for polyglot text-to-speech synthesis

In multilingual countries, text-to-speech synthesis systems often have to deal with texts containing inclusions of multiple other languages in form of phrases, words, or even parts of words. In such multilingual cultural settings, listeners expect a high-quality text-to-speech synthesis system to read such texts in a way that the origin of the inclusions is heard, i.e., with correct language-sp...

متن کامل

Design and Implementation of an Intelligent Part of Speech Generator

The aim of this paper is to report on an attempt to design and implement an intelligent system capable of generating the correct part of speech for a given sentence while the sentence is totally new to the system and not stored in any database available to the system. It follows the same steps a normal individual does to provide the correct parts of speech using a natural language processor. It...

متن کامل

Phonological Constraints and Morphological Preprocessing for Grapheme-to-Phoneme Conversion

Grapheme-to-phoneme conversion (g2p) is a core component of any text-to-speech system. We show that adding simple syllabification and stress assignment constraints, namely ‘one nucleus per syllable’ and ‘one main stress per word’, to a joint n-gram model for g2p conversion leads to a dramatic improvement in conversion accuracy. Secondly, we assessed morphological preprocessing for g2p conversio...

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 1986