We perform a large-scale evaluation of multiple off-the-shelf speech recognizers across diverse domains for virtual human dialogue systems. Our evaluation is aimed at speech recog...
Recently, there has been considerable interest in the automated recognition of affect from written and spoken language. In this paper, we investigate how information on a speakerâ€...
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
Miscommunication in speech recognition systems is unavoidable, but a detailed characterization of user corrections will enable speech systems to identify when a correction is taki...
The automatic recognition of user’s communicative style within a spoken dialog system framework, including the affective aspects, has received increased attention in the past f...
Serdar Yildirim, Shrikanth Narayanan, Alexandros P...