194 search results - page 1 / 39 » Learning Structured Models for Phone Recognition |
EMNLP
2007
13 years 6 months ago
2007
We present a maximally streamlined approach to learning HMM-based acoustic models for automatic speech recognition. In our approach, an initial monophone HMM is iteratively refin...
MOBISYS
2010
ACM
13 years 7 months ago
2010
ACM
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
NAACL
2003
13 years 6 months ago
2003
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
WWW
2010
ACM
14 years 16 hour ago
2010
ACM
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...