A noise filter technique estimates noise in speech that has been processed by Call Multiplication Equipment. The received signal has speech frames and interspersed fill-noise frames inserted at a satellite signal receiving station. The filtering technique removes the fill-noise from the signal. The remaining speech frames are analyzed such that the speech frames having the lowest power values are used to create a histogram of power/frequency. This histogram contains information from which the noise-in-speech power spectrum is derived.

Various time-domain noise suppression methods and devices for suppressing a noise signal in a speech signal are provided. For example, a time-domain noise suppression method comprises estimating a plurality of linear prediction coefficients for the speech signal, generating a prediction error estimate based on the plurality of prediction coeficients, generating an estimate of the speech signal based on the plurality of linear prediction coefficients, using a voice activity detector to determine voice activity in the speech signal, updating a plurality of noise parameters based on the prediction error and if the voice activity detector determines no voice activity in the speech signal, generating an estimate of the noise signal based on the plurality of noise parameters, and passing the speech signal through a filter derived from the estimate of the noise signal and the estimate of the speech signal to generate a clean speech signal estimate.

A signal processing unit is disclosed for selectively routing an unfiltered input signal and a noise reduced version of the unfiltered input signal to an output port in response to a noise power estimate. Routing the unfiltered input signal to the output port when the noise power estimate is less than a noise floor threshold avoids degrading the information content of an input signal having a power level close to the noise floor. A first attenuation factor and a second attenuation factor can be applied to the unfiltered input signal. A method is disclosed for parsing a signal into a plurality of frames, selecting a maximum value for each frame, and averaging the maximum values to form a noise floor threshold.

A speech coding system and associated method relies on a speech coder and a speech decoder. The speech coder provides speech spectrum information, including Line Spectral Frequency (LSF) information, for respective frames of speech. The LSF information is provided to the speech decoder. The speech decoder includes an LSF smoothing filter comprising an adaptive finite impulse response filter for averaging consecutive LSFs which are similar. Consecutive LSFs which are dissimilar are not averaged. The system and method causes a reduction in the shaky quality of synthesized speech without causing a corresponding decrease in the clarity of the synthesized speech.

A spectrum-based speech enhancement system estimates and tracks the noise spectrum of a mixed speech and noise signal. The system frames and windows a digitized signal and applies the frames to a fast Fourier transform processor to generate discrete Fourier transformed (DFT) signals representing the speech plus noise signal. The system calculates the power spectrum of each frame. The speech enhancement system employs a leaky integrator that is responsive to identified noise-only components of the signal. The leaky integrator has an adaptive time-constant which compensates for non-stationary environmental noise. In addition, the speech enhancement system identified noise-only intervals by using a technique that monitors the Teager energy of the signal. The transition between noise-only signals and speech plus noise signals is softened by being made non-binary. Once the noise spectrum has been estimated, it is used to generate gain factors that multiply the DFT signals to produce noise-reduced DFT signals. The gain factors are generated based on an audible noise threshold. The method generates audible a priori and a posteriori signal to noise ratio signals and then calculates audible gain signals from these values.