Home > Search Results: recid:532174
Search:
 
Search Tips :: Simple Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 

Warning: Requested record does not seem to exist.
Normalization of numbers into spoken form for text-to-speech systems
 Růžička, Jakub ; Dušek, Ondřej (advisor) ; Peterek, Nino (referee)
Title: Normalization of numbers into spoken form for text-to-speech systems Author: Jakub Růžička Institute: Institute of Formal and Applied Linguistics Supervisor: Mgr. et Mgr. Ondřej Dušek, Ph.D., Institute of Formal and Applied Lin- guistics Abstract: A necessary part of any text-to-speech system is the normalization of num- bers and words containing numbers. The accuracy of this process can significantly affect the quality of the resulting speech. The main goal of this work is the design and imple- mentation of a number normalization module for Czech. Words containing digits are first assigned to one of the predefined categories. Based on the category given, possible spoken forms are subsequently generated. For the selection of the contextually correct variant, an existing language model is used. The system is distributed as a Python package and can run on Linux or in a Docker container whose configuration is part of the project. Moreover, a specialized data annotation application has been designed and written for creating the datasets for the Czech text normalization task. Two datasets with 1,882 sen- tences and 3,185 words requiring normalization were obtained using the data annotation service. The system achieved a sentence-level accuracy of over 80% on both datasets. We perform a detailed error...
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English