This paper presents ARTIC1, a brand-new Czech text-to-speech (TTS) system. ARTIC (ARtificial Talker In Czech) is a concatenation-based system that consists of three main, relatively independent, components: speech segment database, text analyzer and speech synthesizer. A statistical approach to speech segment database construction is used: Hidden Markov models are employed to model triphones on the basis of the large speech corpus and to segment the corpus into triphonebased speech units - basic speech units used by the synthesizer. A speech segment selection algorithm is described to choose the representative instance of each speech unit from the segmented speech corpus. A text processing module converts the written text at the input of TTS system to the sequence of phones - basic phonetic units needed to describe the pronunciation of the input text - and prosodic marks. Finally, speech processing is performed using two versions of a PSOLA algorithm.
Cite as: Matousek, J., Psutka, J. (2000) ARTIC: a new Czech text-to-speech system using statistical approach to speech segment database construction. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 4, 612-615, doi: 10.21437/ICSLP.2000-886
@inproceedings{matousek00_icslp,
author={Jindrich Matousek and Josef Psutka},
title={{ARTIC: a new Czech text-to-speech system using statistical approach to speech segment database construction}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 4, 612-615},
doi={10.21437/ICSLP.2000-886}
}