Titlebook: Robust Adaptation to Non-Native Accents in Automatic Speech Recognition; Silke Goronzy Book 2002 Springer-Verlag Berlin Heidelberg 2002 Au

Sedative

gathered at the first European meeting of corporate foundations. The findings allow us to distill pull and push factors that lead to a stronger alignment of corporate goals and foundation activities. The ideal types show that full independence is not necessarily the best option, as corporate founda

lacrimal-gland

perpetual

COM

Databases and Experimental Settings,ch each speaker had to speak 23. The command corpus consists of 527 entries,of hich 234 had to be spoken by each speaker. Some more corpora, e.g. digits, pin numbers, spelling, numbers, etc. were also recorded. In total, each speaker had to say approximately 500 utterances. Only the addresses and co

CBC471

藐視

摘要

https://doi.org/10.1007/3-540-36290-8Automat; Automatic Speech Recognition; Confidence Measures; Human-Machine Interfaces; MLLR; Natural Langu

高談闊論

978-3-540-00325-0Springer-Verlag Berlin Heidelberg 2002

凹處

condescend

Stochastic Modelling of Speech,Hidden Markov modelling is a powerful technique,capable of robust modelling of speech. It first evolved in the early 70s. In the late 80s it became more and more used for speech recognition appliications.