DocumentCode
337453
Title
A statistical text-to-phone function using ngrams and rules
Author
Fisher, William M.
Author_Institution
Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
Volume
2
fYear
1999
fDate
15-19 Mar 1999
Firstpage
649
Abstract
Adopting concepts from statistical language modeling and rule-based transformations can lead to effective and efficient text-to-phone (TTP) functions. We present here the methods and results of one such effort, resulting in a relatively compact and fast set of TTP rules that achieves 94.5% segmental phonemic accuracy
Keywords
knowledge based systems; speech synthesis; statistical analysis; TTP rules; effective efficient text-to-phone; ngrams; rule-based transformations; segmental phonemic accuracy; statistical language modeling; statistical text-to-phone function; Automatic speech recognition; Data structures; Dictionaries; NIST; Natural languages; Predictive models; Probability distribution; Speech processing; Speech synthesis; Text recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location
Phoenix, AZ
ISSN
1520-6149
Print_ISBN
0-7803-5041-3
Type
conf
DOI
10.1109/ICASSP.1999.759750
Filename
759750
Link To Document