Mindspeed Technologies, Inc.

Skyworks Solutions, Inc.

Conexant Systems, Inc.

Jeffrey D Klein

Carlo Murgia

Eyal Shlomot

Huan-Yu Su

Adil Benyassine

Yang Gao

Norman J Beamish

David O Anderton

There are provided methods and systems for automated testing of echo cancellers using natural speech excitations and evaluating an echo canceller by transmitting a first signal to the echo canceller, wherein the first signal includes a first speech signal and a first marker signal, and wherein the first marker signal is transmitted a first period of time after the first speech signal is transmitted; receiving a second signal from the echo canceller, wherein the second signal includes a second speech signal and a second marker signal; aligning the first speech signal and the second speech signal using the first marker signal and the second marker signal; determining a choppiness of the second speech signal, when a non-linear processor of the echo canceller is on; and determining an audible echo, when a non-linear processor of the echo canceller is off.

Automated tools for testing echo cancellers using natural speech excitations

A method of masking a residual echo signal by an echo canceller is provided. The method comprises receiving a far-end signal, adjusting filter coefficients of an adaptive filter in response to the far-end signal, generating an echo model signal based on the far-end signal using the adaptive filter, receiving a near-end signal, subtracting the echo model signal from the near-end signal to generate an output signal, defining a spectral mask based on the near-end signal, wherein the spectral mask is indicative of near-end spectral peaks and near-end spectral valleys, de-emphasizing the output signal in spectral regions of the near-end spectral peaks, and emphasizing the output signal in spectral regions of the near-end spectral valleys, wherein the de-emphasizing occurs during filter coefficients determination for the adaptive filter. A weighted filter may perform the de-emphasizing and the emphasizing operations, where the weighted filter uses medium term spectral characteristics of the near-end signal.

Perceptual masking of residual echo

An exemplary multi-channel speech processor comprises a controller capable of interfacing with a plurality of channels, and at least one signal processing unit (SPU) coupled to the controller, where the multi-channel speech processor has a maximum execution time for processing all frames, one channel at a time, by processing a single frame from each of the plurality of channels. The signal processing unit encodes each of the single frames from each of the plurality of channels, one channel at a time, to generate encoded frames until the maximum execution time elapses or is about to elapse. The controller also transmits a predetermined frame for each of the plurality of channels not processed during the encoding step, due to the maximum execution time elapsing or being about to elapse, such that the predetermined frame causes a decoder which receives the predetermined frame to generate a frame erase frame.

Method and system for supporting increased channel density

An exemplary multi-channel speech processor comprises a controller capable of interfacing with a plurality of channels, and at least one signal processing unit (SPU) coupled to the controller, where the multi-channel speech processor has a maximum execution time for processing all frames, one channel at a time, by processing a single frame from each of the plurality of channels. The signal processing unit encodes each of the single frames from each of the plurality of channels, one channel at a time, to generate encoded frames until the maximum execution time elapses or is about to elapse. The controller also transmits a pre-determined frame for each of the plurality of channels not processed during the encoding step, due to the maximum execution time elapsing or being about to elapse, such that the predetermined frame causes a decoder which receives the predetermined frame to generate a frame erase frame.

Multi-channel speech processor with increased channel density

A system is disclosed for accurately detecting an alert signal. Improving detector accuracy decreases missed detects and false detects. In one example embodiment the detector monitors received telephone signals for an alert signal such as a CPE alert signal. In such a configuration, the invention processes the received signal prior to monitoring by the detector to remove or reduce unwanted echo, interference and/or other signal portions that may otherwise inhibit accurate detection of alert signals sent from a remote location. In one configuration, the invention performs echo suppression or cancellation on the received signal to eliminate or reduce echo, such as may be introduced by a hybrid.

Signal detector with echo cancellation

An echo canceller has an adaptive filter with an input coupled to a digitized audio input producing samples at a first rate. The adaptive filter also produces an estimated digitized audio feedback signal at the first rate based upon a set of tap values. A controller is coupled to the adaptive filter and determines the values of the set of tap values. A shared processor is coupled to the adaptive filter and the controller. The shared processor services tasks of the adaptive filter and the controller as well as other devices. When the adaptive filter has converged upon an unknown echo channel response, the controller determines the set of tap values at a rate lower than the first rate.

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Irvine, CA, United States of America

Jeffrey D Klein