Other

Don Seferovich

Kevin R Fitzgerald

Alon Konchitsky

Alberto D Berstein

Sandeep Kulakcherla

William Martin Ribble

A special purpose machine measures and modulates communication signals that are parsed into frames. Frames of signals modulated and measured to have certain qualities are deemed to be the result of wind noise. Frames of wind noise are cancelled from further use within a communication system.

Wind noise classifier

A noisy signal is picked up by a microphone, digitized by an Analog to Digital Converter and fed to a processor for analysis and wind noise reduction. Most of noise reduction methods are based on the assumption that the interfering noise is stationary or slowly varying compared with speech. This assumption allows 'learning' the characteristics of the noise between speech pauses and, based on a noise estimate, to build different filters that reduce the noise. In the case of wind noise this basic assumption is not valid. Wind noise is highly non-stationary, its power and spectral characteristics vary greatly. Because wind noise is not stationary, regular noise reduction methods cannot be used to reduce wind noise. For reducing wind noise effects in a device, the presence of wind should be detected reliably and then a novel approach presented here must be applied to eliminate the wind noise.

Method for wind noise reduction

The present invention relates to means and methods of classifying speech and music signals in voice communication systems, devices, telephones, and methods, and more specifically, to systems, devices, and methods that automate control when either speech or music is detected over communication links. The present invention provides a novel system and method for monitoring the audio signal, analyze selected audio signal components, compare the results of analysis with a pre-determined threshold value, and classify the audio signal either as speech or music.

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Don Seferovich