Titlebook: Clear Speech; Technologies that En Frank Rudzicz Book 2016 Springer Nature Switzerland AG 2016

ARCHE

Virtues

Resource Management for Big Data Platformsn manifest themselves physically (as in reduced control of the muscles of speech in cerebral palsy and Parkinson’s disease), cogni-tively (as in difficulty understanding words in autism and dyslexia), or both physically and cogni-tively (following, for example, cardiovascular stroke), according to t

defendant

AUGER

https://doi.org/10.1007/978-1-4614-8193-5 each of which has involved different challenges. The goal of creating a conversational agent, in modern times, dates back at least to 1950 when Alan Turing proposed that the best way to determine if a machine . is to have a conversation with it [Turing, 1950] (through textual tele-type, the equival

諄諄教誨

SpringerBriefs in Computer Sciencepularity of this technology has risen and fallen since the 1960s, generally, but is currently robust enough to be used prominently by both desktop and mobile operating systems, at least for . speakers. However, many challenges remain for atypical speakers. If the statistical models inherent to moder

使成核

Resource Management Principles,pt text directly (Chapter 9), or optimized symbol sequences (Section 9.1), and produce synthetic speech output so that they can be heard by others. While merely useful in many public scenarios, this can be necessary for communication over the phone. Since synthesizing artificial but . speech from te

黃瓜

Incumbent

巫婆

灌輸