2042 search results - page 122 / 409 » Automatic Understanding of Signals |
124
Voted
AAAI
2010
15 years 4 months ago
2010
Understanding conceptual change is an important problem in modeling human cognition and in making integrated AI systems that can learn autonomously. This paper describes a model o...
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
We present a new method for automatically filling in gaps of textural sounds. Our approach is to transform the signal to the time-frequency space, fill in the gap, and apply the i...
106
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
127
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
In language modeling for speech recognition, both the amount of training data and the match to the target task impact the goodness of the model, with the trade-off usually favorin...
111
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CDC
2008
IEEE
15 years 9 months ago
2008
IEEE
— The paper presents a new approach to rejection of sinusoidal disturbances acting at the output of a discrete-time linear stable plant with unknown dynamics. It is assumed that ...