A machine learning approach to Swedish word pronunciation
نویسندگان
چکیده
This study focuses on word pronunciation in Text-to-Speech systems for Swedish. The purpose is to investigate whether machine learning techniques match knowledge-based systems in Swedish word pronunciation. The experiments show a maximum grapheme accuracy of just over 97%, and word accuracies from 67.0% for word pronunciation excluding stress assignment, which compares favourably to existing knowledgebased state-of-the-art systems.
منابع مشابه
Treetalk-d: a Machine Learning Approach to Dutch Word Pronunciation
We present experimental results concerning the application of the IGTree decision-tree learning algorithm to Dutch word pronunciation. We evaluate four diierent Dutch word pronunciation systems conngured to test the utility of modularization of grapheme{to{phoneme transcription (G) and stress prediction (S). Both training and testing data are extracted from the CELEX II lexical database. Experi...
متن کاملp t . 5 - 1 0 , 1 9 9 9 , p p . 2 1 2 3 - 2 1 2 6 . MACHINE LEARNING OF WORD PRONUNCIATION : THE CASE AGAINSTABSTRACTIONBertjan
Word pronunciation can be learned by inductive machine learning algorithms when it is represented as a classiication task: classify a letter within its local word context as mapping to its pronunciation. On the basis of generalization accuracy results from empirical studies, we argue that word pronunciation, particularly in complex spelling systems such as that of En-glish, should not be modell...
متن کاملLearning Pronunciation Dictionaries: Language Complexity and Word Selection Strategies
The speed with which pronunciation dictionaries can be bootstrapped depends on the efficiency of learning algorithms and on the ordering of words presented to the user. This paper presents an active-learning word selection strategy that is mindful of human limitations. Learning rates approach that of an oracle system that knows the final LTS rule set.
متن کاملAutomatic rule-based generation of word pronunciation networks
In this paper a method for generating word pronunciation networks for speech recognition is proposed. The networks incorporate different acceptable pronunciation variants for each word. These variants are determined by applying pronunciation rules to the standard pronunciation of the words. Instead of a manual search, an automatic learning procedure is used to compose a sensible set of rules. T...
متن کاملThe Effect of Using Phonetic Websites on Iranian EFL Learners’ Word Level Pronunciation
Computer-assisted language learning (CALL) is reaching an up most position in the pedagogical field of English as a Second or Foreign Language (ESL/EFL). The present study was carried out to study the effect of using phonetic websites on Iranian EFL students’ pronunciation and knowledge of phonemic symbols. Participants of the study included 30 EFL female pre-intermediate students studyin...
متن کامل