Automatic background noise estimator for a noise suppression system
AssigneeMotorola, Inc.
InventorsDavid E. Borth, Ira A. Gerson, Richard J. Vilmur
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AssigneeMotorola, Inc.
InventorsDavid E. Borth, Ira A. Gerson, Richard J. Vilmur
Estimating the term…
An improved background noise estimator (320) is disclosed for use with a noise suppression system (300) for generating an estimate of the background noise power spectral density provided to noise suppressor (310), which performs speech quality enhancement upon the pre-processed speech-plus-noise signal available at the input to generate a clean post-processed speech signal at the output. Background noise estimator (320) utilizes an energy valley detector based upon post-processed speech to perform the speech/noise classification, and a noise spectral estimator based upon pre-processed speech to generate an estimate of the background noise power spectral density. As a result, the background noise estimate supplied to the noise suppressor is a more accurate measurement of the background noise energy, since it is performed during a more accurate determination of the occurrences of pauses in the speech.
An improved background noise estimator adapted for use with a noise suppression system wherein the background noise from a noisy pre-processed input signal is attenuated by spectral gain modification to produce a noise-suppressed post-processed output signal, said background noise estimator comprising:
An improved background noise estimator adapted for use with a noise suppression system wherein the background noise from a noisy pre-processed input signal is attenuated by spectral gain modification to produce a noise-suppressed post-processed output signal, said background noise estimator comprising:
The method of estimating background noise in a noise suppression system, wherein the background noise from a noisy pre-processed input signal is attenuated by spectral gain modification to produce a noise-suppressed post-processed output signal, comprising the steps of:
The method of estimating background noise in a noise suppression system, wherein the background noise from a noisy pre-processed input signal is attenuated by spectral gain modification to produce a noise-suppressed post-processed output signal, comprising the steps of:
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