Semiconductor Components Industries, LLC

Ami Semiconductor, Inc.

Dspfactory Ltd.

On Semiconductor Trading, Ltd.

Elo Touch Solutions, Inc.

Gn Hearing A/s

Emma Mixed Signal C.v.

Hamid Sheikhzadeh-nadjar

Robert L. Brennan

Edward Y. Chau

Todd Schneider

Robert L Brennan

Hamid Sheikhzadeh Nadjar

Anthony Todd Schneider

Hamid Sheikhzadeh-Nadjar

Pejman Dehghani

Etienne Cornu

David Hermann

James Gregory Ryan

Jakob Nielsen

Tina Soltani

Joel Christopher Kent

Michael Rice

Tirthajyoti Sarkar

Joe Henry Babb

Edward Chau

David Coode

E William Cowell, Iii

Mark Melvin

Julie Johnson

Hamid Reza Abutalebi

Dequn Sun

Nicolas Destrez

Alain Dufaux

King Tam

Steven W Haungs

Peter Olijnyk

James R Wynne, Jr

Luiz Henrique Stival

Avery Joseph Roy

Edward Y Chau

Implementations of a system configured for operation of a motor may include a motor controller coupled with a memory, the motor controller configured to be coupled with a motor. The motor controller may be configured to store a set of control parameters in the memory, the set of control parameters generated using a deep reinforcement learning agent and data associated with one or more parameters of the motor. The set of control parameters may be configured to define an optimized operating area for the motor.

Systems and methods for system optimization and/or failure detection

In a general aspect, an apparatus for detecting speech can include a signal conditioning stage that receives a signal corresponding with acoustic energy, filters the received signal to produce a speech-band signal, calculates a first sequence of energy values for the received signal and calculates a second sequence of energy values for the speech-band signal. The apparatus can also include a detection stage including a plurality of speech and noise differentiators. The detection stage can being configured to receive the first and second sequences of energy values and, based on the first sequence of energy values and the second sequence of energy values, provide, for each speech and noise differentiator of the plurality of speech and noise differentiators, a respective speech-detection indication signal. The apparatus can also include a combination stage configured to combine the respective speech-detection indication signals and based on the combination of the respective speech-detection indication signals, provide an indication of one of presence of speech in the received signal and absence of speech in the received signal.

Computationally efficient speech classifier and related methods

An audio device that includes a music classifier that determines when music is present in an audio signal is disclosed. The audio device is configured to receive audio, process the received audio, and to output the processed audio to a user. The processing may be adjusted based on the output of the music classifier. The music classifier utilizes a plurality of decision making units, each operating on the received audio independently. The decision making units are simplified to reduce the processing, and therefore the power, necessary for operation. Accordingly each decision making unit may be insufficient to determine music alone but in combination may accurately detect music while consuming power at a rate that is suitable for a mobile device, such as a hearing aid.

Music classifier and related methods

An acoustic signal processing system and method. In accordance with an embodiment, the acoustic signal processing system includes an adaptive filter that filters a signal from a frequency band reservation module and generates a filter signal that is received by a subtractor. The subtractor generates an error signal that is used by a double-talk indicator module to generate a control signal that indicates the presence of double-talk.

Acoustic signal processing system capable of detecting double-talk and method

Aspects of the present disclosure involve a method for a voice trigger device that can be used to interrupt an externally connected system. The current disclosure also presents the architecture for the voice trigger device used for searching and matching an audio signature with a reference signature. In one embodiment a reverse matching mechanism is performed. In another embodiment, the reverse search and match operation is performed using an exponential normalization technique.

Method and apparatus for a low power voice trigger device

In accordance with an embodiment, a system for processing an incoming signal for audio application includes a parameter extraction module coupled for receiving an incoming signal having a first frequency that is configured to extract at least one parameter from the incoming signal. The system includes at least one oscillator and at least one processing engine processing that receives a clock signal from the at least one oscillator. In accordance with another embodiment, a method is provided that performs a first processing with the clock signal and generates an oscillator control signal for adjusting the frequency of the clock from the oscillator adaptively depending on parameters of the incoming signal extracted or analyzed in the first processing.

Method and system for parameter based adaptation of clock speeds to listening devices and audio applications

A bending wave touch system includes at least one sensor and a touchscreen controller. The at least one sensor is coupled to a substrate and is responsive to vibrations in the substrate. The at least one sensor outputs signals. The controller receives the signals from the at least one sensor and identifies touch coordinates based on high frequency components of the signals when a touch on the substrate includes at least one of a tap, a drag and a lift-off. The controller identifies a status of a hold condition of the touch based on at least two different time averages of low frequency components of the signals.

Method and apparatus for detecting hold condition on an acoustic touch surface

An acoustic shock protection method and device are provided. A pattern analysis-based approach is taken to an input signal to perform feature extraction. A parameter space is identified, which is corresponding to, the signal space of the input signal. A rule-based decision approach is taken to the parameter space to detect an acoustic shock event. The device may be advantageously implemented using a weighted overlap-add approach to provide low group delay, high-fidelity and a high degree of protection from acoustic shock events.

Method and system for acoustic shock protection

A method and system for active noise cancellation is provided. The system employs subband processing, and preferably implements over-sampled filterbank. The system is applicable to adaptive noise cancellation, adaptive echo cancellation for portable listening devices, such as headsets and other similar listening devices.

Method and system for active noise cancellation

A method and system for managing physiological systems is provided. The physiological system management (PSM) system includes one or more signal acquisition blocks to collect physiological information. The PSM system includes oversampled filterbanks for transferring one or more input signal related to the physiological information into subband signals, and a subband processing scheme for processing the outputs from the oversampled filterbanks for event detection in one or more physiological systems. The PSM system includes an adaptive controller which decides on the proper control measure and delivers the measure to the one or more physiological systems.

Method and system for managing physiological system

A method and system for processing of physiological signals is provided. The system processes information signals in subband-domain associated with the physiological signals in time-domain. The information signals are obtained by one or more over-sampled filterbanks. The method and system possibly synthesizes the subband signals obtained by subband processing. The method and system may implement the analysis, subband processing, and synthesis algorithms on over-sampled filterbanks, which are implemented on ultra low-power, small size, and low-cost platform in real-time. The method and system may use over-sampled, Weighted-Overlap Add (WOLA) filterbanks.

Method and system for physiological signal processing

A method and system for processing subband signals using adaptive filters is provided. The system is implemented on an oversampled WOLA filterbank. Inputs signals are oversampled. The system includes an adaptive filter for each subband, and the functionality of improving the convergence properties of the adaptive filter. For example, the convergence property is improved by whitening the spectra of the oversampled subband signals and/or affine projection algorithm. The system is applicable to echo and/or noise cancellation. Adaptive step size control, adaptation process control using Double-Talk detector may be implemented. The system may further implement a non-adaptive processing for reducing uncorrelated noise and/or cross-talk resistant adaptive noise cancellation.

Method and system for processing subband signals using adaptive filters

An acoustic shock protection method and device are provided. A pattern analysis-based approach is taken to an input signal to perform feature extraction. A parameter space is identified, which is corresponding to the signal space of the input signal. A rule-based decision approach is taken to the parameter space to detect an acoustic shock event. The device may be advantageously implemented using a weighted overlap-add approach to provide low group delay, high-fidelity and a high degree of protection from acoustic shock events.

A method for equalizing output signals from a plurality of signal paths is disclosed. The method comprises steps of identifying a transfer function for each of signal paths, determining a filtering function for each signal path such that a product of the transfer function, and the filtering function is a selected function and applying the filtering function to the corresponding signal path, thereby correcting the transfer function of the signal path to the selected function to equalize the output signals from the signal paths. The step of applying the filtering function comprises steps of providing an equalization filter to the signal path and applying the filtering function to the equalization filter of its corresponding signal path, thereby equalizing output signals from the filter of the signal paths.

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Kitchener, Canada

Robert L Brennan