Abstract: A noise estimating apparatus estimates two types of noise spectra for removing a noise component using the two types of noise spectra. The noise estimating apparatus includes an A/D converter that converts an input speech signal to a digital signal, and a Fourier transformer that performs a discrete Fourier transform on the digital signal having a predetermined time length to obtain an input spectrum and a complex spectrum. The noise estimating apparatus also includes a noise spectrum storage device that stores the two types of noise spectra, including a mean noise spectrum and a compensation noise spectrum, and a noise estimator that estimates a new compensation noise spectrum and a new mean noise spectrum as new two types of noise spectra.

Abstract: A technique is described herein for reducing audible artifacts in an audio output signal generated by decoding a received frame in a series of frames representing an encoded audio signal in a predictive coding system. In accordance with the technique, it is determined if the received frame is one of a predefined number of received frames that follow a lost frame in the series of the frames. Responsive to determining that the received frame is one of the predefined number of received frames, at least one parameter or signal associated with the decoding of the received frame is altered from a state associated with normal decoding. The received frame is then decoded in accordance with the at least one parameter or signal to generate a decoded audio signal. The audio output signal is then generated based on the decoded audio signal.

Abstract: A method for determining unbiased signal amplitude estimates () after cepstral variance modification of a discrete time domain signal (s(t)), wherein the cepstrally-modified spectral amplitudes () of the discrete time domain signal (s(t)) are X-distributed with 2{tilde over (?)} degrees of freedom. A bias reduction factor (r) is determined using the equation r 2 = ? ? ~ ? ? ? ? ( ? ~ ) - ? ? ( ? ) , where 2? are the degrees of freedom of the X-distributed spectral amplitudes of the discrete time domain signal (s(t)) and ? ? ( x ) = - 0.5772 - ? n = 0 ? ? ( 1 x + n - 1 1 + n ) ; then the unbiased signal amplitude estimates () are determined by multiplying the cepstrally-modified spectral amplitudes () with the bias reduction factor (r) according to the equation =.

Abstract: Configurations disclosed herein include systems, methods, and apparatus that may be applied in a voice communications and/or storage application to remove, enhance, and/or replace the existing context.

Abstract: Configurations disclosed herein include systems, methods, and apparatus that may be applied in a voice communications and/or storage application to remove, enhance, and/or replace the existing context.

Abstract: Configurations disclosed herein include systems, methods, and apparatus that may be applied in a voice communications and/or storage application to remove, enhance, and/or replace the existing context.

Abstract: Configurations disclosed herein include systems, methods, and apparatus that may be applied in a voice communications and/or storage application to remove, enhance, and/or replace the existing context.