A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Missing Data Solutions for Robust Speech Recognition
[chapter]
2012
Essential Speech and Language Technology for Dutch
One of the major concerns when deploying speech recognition applications is the lack of robustness of the technology. Humans are robust to noise, different acoustic environments, pronunciation variation, ungrammatical sentences, incomplete utterances, filled pauses, stutters, etc. and this engenders the same expectation for automatic systems. In this contribution we discuss an approach called missing data techniques (MDT) [3, 27] to deal with one of these problems: noise robustness. Unlike many
doi:10.1007/978-3-642-30910-6_16
dblp:series/tanlp/WangGDh13
fatcat:se3jgvwxejc6rdj74ov6qrpfmm