Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2007-10-18
2011-10-25
Jackson, Jakieda (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S226000
Reexamination Certificate
active
08046219
ABSTRACT:
A system, method, and apparatus for separating speech signal from a noisy acoustic environment. The separation process may include directional filtering, blind source separation, and dual input spectral subtraction noise suppressor. The input channels may include two omnidirectional microphones whose output is processed using phase delay filtering to form speech and noise beamforms. Further, the beamforms may be frequency corrected. The omnidirectional microphones generate one channel that is substantially only noise, and another channel that is a combination of noise and speech. A blind source separation algorithm augments the directional separation through statistical techniques. The noise signal and speech signal are then used to set process characteristics at a dual input noise spectral subtraction suppressor (DINS) to efficiently reduce or eliminate the noise component. In this way, the noise is effectively removed from the combination signal to generate a good qualify speech signal.
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Axelrod Jeffrey M.
Clark Joel A.
Francois Holly L.
Isabelle Scott K.
Pearce David J.
Jackson Jakieda
Motorola Mobility, Inc.
Prass LLP
Ramirez Ellis B.
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