The current status of the development of an active noise control microphone
Glenn E. Warnaka, Joseph A. Kulikauskas, Lawrence M. Hoover
Abstract
Glenn E. Warnaka, Joseph A. Kulikauskas, Lawrence M. Hoover
Abstract
This paper describes the current status of the development of a simple unitary active microphone that provides superior noise cancellation. The microphone, based on active noise control principles, is small and does not require an independent sample of the ambient noise. At the same time, there is no requirement for locating the microphone near the speaker's mouth, as required with conventional passive noise canceling microphones. Instead, the microphone under development can be placed several feet, or more, from the speaker, since superior performance of the new microphone can still be realized. The microphone element can discriminate between the voice and noise even at a distance without voice recognition algorithms, and all kinds of noises, including random noise, can be canceled. A simple electronic control unit can be used to produce commercial systems.
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This paper describes the current status of the development of a simple unitary active microphone that provides superior noise cancellation. The microphone, based on active noise control principles, is small and does not require an independent sample of the ambient noise. At the same time, there is no requirement for locating the microphone near the speaker's mouth, as required with conventional passive noise canceling microphones. Instead, the microphone under development can be placed several feet, or more, from the speaker, since superior performance of the new microphone can still be realized. The microphone element can discriminate between the voice and noise even at a distance without voice recognition algorithms, and all kinds of noises, including random noise, can be canceled. A simple electronic control unit can be used to produce commercial systems.
Key concepts: Microphone, Noise-canceling microphone, Acoustics, Active noise control, Computer science, Noise (video), Speech recognition, Background noise