Title
Corpus-Based unit selection TTS for hungarian
Abstract
This paper gives an overview of the design and development of an experimental restricted domain corpus-based unit selection text-to-speech (TTS) system for Hungarian The experimental system generates weather forecasts in Hungarian 5260 sentences were recorded creating a speech corpus containing 11 hours of continuous speech A Hungarian speech recognizer was applied to label speech sound boundaries Word boundaries were also marked automatically The unit selection follows a top-down hierarchical scheme using words and speech sounds as units A simple prosody model is used, based on the relative position of words within a prosodic phrase The quality of the system was compared to two earlier Hungarian TTS systems A subjective listening test was performed by 221 listeners The experimental system scored 3.92 on a five-point mean opinion score (MOS) scale The earlier unit concatenation TTS system scored 2.63, the formant synthesizer scored 1.24, and natural speech scored 4.86.
Year
DOI
Venue
2006
10.1007/11846406_46
TSD
Keywords
Field
DocType
corpus-based unit selection tts,experimental restricted domain,speech corpus,experimental system,speech sound boundary,earlier unit concatenation tts,hungarian tts system,continuous speech,corpus-based unit selection text-to-speech,natural speech,hungarian speech recognizer,weather forecasting,top down,mean opinion score
Speech corpus,Prosody,Speech synthesis,Computer science,Phrase,Mean opinion score,Speech recognition,Natural language,Natural language processing,Artificial intelligence,Formant,Sentence
Conference
Volume
ISSN
ISBN
4188
0302-9743
3-540-39090-1
Citations 
PageRank 
References 
5
0.47
3
Authors
5
Name
Order
Citations
PageRank
Márk Fék1132.27
Péter Pesti250.47
Géza Németh310225.57
Csaba Zainkó4356.30
Gábor Olaszy55013.40