Paper: Machine-Readable Dictionaries In Text-To-Speech Systems

ACL ID C94-2156
Title Machine-Readable Dictionaries In Text-To-Speech Systems
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

This paper presents the results of an experiment usiug machine-readable dictionaries (Mill)s) and corpora for building concatenativc units for text to speech (T'PS) systems. Theoretical questions concerning the nature of t)honemic data in dic- tionaries are raised; phonemic dictionary data is viewed as a representative corpus over which to extract n- gram phonemic frequencies in the lan- guage. Dictionary data are compared to corpus data, and phoneme inventories arc evaluated for coverage. A methodology is defined to compute I)honemic n-grams for incorporation into a TTS system.