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ICASSP
2008
IEEE
10 years 2 months ago
Analysis-by-synthesis features for speech recognition
We present a framework for speech recognition that accounts for hidden articulatory information. We model the articulatory space using a codebook of articulatory configurations g...
Ziad Al Bawab, Bhiksha Raj, Richard M. Stern
ICASSP
2008
IEEE
10 years 2 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
ICASSP
2008
IEEE
10 years 2 months ago
Interactive environmental sensing: Signal and image processing challenges
Networked embedded acoustic sensors and imagers allow scientists to observe biological and environmental phenomena at high sampling rates and multiple scales. Such sampling can cr...
Michael Allen, Eric Graham, Shaun Ahmadian, Tetsun...
ICASSP
2008
IEEE
10 years 2 months ago
A top-down auditory attention model for learning task dependent influences on prominence detection in speech
A top-down task-dependent model guides attention to likely target locations in cluttered scenes. Here, a novel biologically plausible top-down auditory attention model is presente...
Ozlem Kalinli, Shrikanth S. Narayanan
ICASSP
2008
IEEE
10 years 2 months ago
Corrected tandem features for acoustic model training
This paper describes a simple method for significantly improving Tandem features used to train acoustic models for large-vocabulary speech recognition. The linear activations at ...
Arlo Faria, Nelson Morgan
ICASSP
2008
IEEE
10 years 2 months ago
Semantic composition process in a speech understanding system
A knowledge representation formalism for SLU is introduced. It is used for incremental and partially automated annotation of the MEDIA corpus in terms of semantic structures. An a...
Frédéric Duvert, Marie-Jean Meurs, C...
ICASSP
2008
IEEE
10 years 2 months ago
Imaging concert hall acoustics using visual and audio cameras
Using a recently developed real time audio camera, that uses the output of a spherical microphone array beamformer steered in all directions to create central projection to create...
Adam O'Donovan, Ramani Duraiswami, Dmitry N. Zotki...
ICASSP
2008
IEEE
10 years 2 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...
ICASSP
2008
IEEE
10 years 2 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler
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