Title :
Prediction of Pronunciation Variations for Speech Synthesis: A Data-Driven Approach
Author :
Bennett, Christina L. ; Black, Alan W.
Author_Institution :
Language Technol. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
March 18-23, 2005
Keywords :
acoustic signal processing; learning (artificial intelligence); prediction theory; speech synthesis; acoustic modeling techniques; automatic pronunciation labels; data-driven approach; machine learning techniques; pronunciation distribution; pronunciation variation prediction; speech recognition; speech synthesis; Acoustics; Databases; Humans; Loudspeakers; Machine learning; Natural languages; Neural networks; Predictive models; Speech recognition; Speech synthesis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415109
