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» Voice Activity Detection Using Higher Order Statistics
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ICASSP
2010
IEEE
13 years 7 months ago
Voice activity detection using harmonic frequency components in likelihood ratio test
This paper proposes a new statistical model-based likelihood ratio test (LRT) VAD to obtain reliable speech / non-speech decisions. In the proposed method, the likelihood ratio (L...
Lee Ngee Tan, Bengt J. Borgstrom, Abeer Alwan
GLOBECOM
2008
IEEE
14 years 1 months ago
Using Higher Order Cyclostationarity to Identify Space-Time Block Codes
—Research in cognitive radios has renewed interest in tools, such as spectrum estimation and modulation identification, to characterize the radio frequency (RF) environment. The...
Marcus R. DeYoung, Robert W. Heath Jr., Brian L. E...
NECO
2000
133views more  NECO 2000»
13 years 7 months ago
Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies
Recent advances in the technology of multi-unit recordings make it possible to test Hebb's hypothesis that neurons do not function in isolation but are organized in assemblie...
Laura Martignon, Gustavo Deco, Kathryn B. Laskey, ...
ICASSP
2011
IEEE
12 years 11 months ago
A modified MAP criterion based on hidden Markov model for voice activity detecion
The maximum a posteriori (MAP) criterion is broadly used in the statistical model-based voice activity detection (VAD) approaches. In the conventional MAP criterion, however, the ...
Shiwen Deng, Jiqing Han, Tieran Zheng, Guibin Zhen...
EFORENSICS
2009
Springer
14 years 2 months ago
Vocal Forgery in Forensic Sciences
Abstract. This article describes techniques of vocal forgery able to affect automatic speaker recognition system in a forensic context. Vocal forgery covers two main aspects: voice...
Patrick Perrot, Mathieu Morel, Joseph Razik, G&eac...