IEEE ASRU Workshop

TRAP-TANDEM: data-driven extraction of temporal features from speech - Automatic Speech Recognition and Understanding, 2003. ASRU '03. 2003 IEEE Workshop on

Conventional features in automatic recognition of speech describe instantaneous shape of a short-term spectrum of speech. The TRAP-TANDEM features describe likelihood of sub-word classes at a given time instant, derived from temporal trajectories of band-limited spectral densities in the vicinity of the given instant. The paper presents some rationale behind the data-driven TRAP-TANDEM approach...

Results from a survey of attendees at ASRU 1997 and 2003

In 1997 the author conducted a survey at the IEEE workshop on ‘Automatic Speech Recognition and Understanding’ (ASRU) in which attendees were offered a set of twelve putative future events to which they were asked to assign a date. Six years later at ASRU’2003, the author repeated the survey with the addition of eight additional items. This paper presents the combined results from both surveys.

IEEE Published in the First IEEE International Workshop on Visualizing Software for Understanding and Analysis

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Ieee Cas Workshop on Wireless Communications and Networking

First IEEE international workshop on the Web of Things WoT 2010: Message from the workshop chairs

The world of embedded devices has experienced radical changes over the past few years, as more and more everyday and real-world objects can now easily connect to the Internet. This convergence of physical computing devices (wireless sensor networks, mobile phones, embedded computers, etc.) and the Internet provides new design opportunities and challenges. The Internet of Things community has ma...