ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Numerous MCFI methods have been proposed to increase the frame rate in the past ten years. However, these methods usually focus on how to double the frame rate and involve complex...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper describes a publicly available database of subjective scores, relative to quality assessment of 156 video streams encoded with H.264/AVC and corrupted by simulating pac...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Before the advent of Hidden Markov Models(HMM)-based speech recognition, many speech applications were built using pattern matching algorithms like the Dynamic Time Warping (DTW) ...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
The goal of this work was to explore the optimization of the feature extraction module (front-end) parameters to improve bird species recognition. We explored optimizing the spect...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
An important application for microphone arrays is to extract highquality output from a single wideband source in multi-source and adverse environments. Methods based on blind-sour...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
It is widely known that the quality of confidence measure is critical for speech applications. In this paper, we present our recent work on improving word confidence scores by cal...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...