Abstract: An audio apparatus is described for communicating with a user device, the audio apparatus comprising: a sensor configured to sense a user input and to generate an input signal representing the user input; and electronic circuitry operable to receive the input signal. The electronic circuitry is configured to: process the input signal, and generate a control signal for controlling at least one switch based on the input signal.

Abstract: An electronic device is coupled to electronic paper display. The electronic device may be utilized as part of an industrial control system. The central processing unit programmatically and automatically updates the electronic paper display with information to be displayed.

Abstract: A valve for inflating and deflating an inflatable element includes a valve housing fluid connected to the inflatable element, an at least one hole extending through the valve housing and accommodated to let a fluid flow in and out the valve housing for inflating and deflating the inflatable element, and a flap disposed next to the at least one hole inside the valve housing, such that the flap covers the at least one hole and behaves as a flap when inflating the inflatable element. The flap is inflatable and is fluid connected with a nozzle disposed outside the valve housing. The inflatable flap, when inflated, uncovers the at least one hole releasing a fluid flow through the at least one hole for deflating the inflatable element.

Abstract: An audio apparatus is described for communicating with a user device, the audio apparatus comprising: a sensor configured to sense a user input and to generate an input signal representing the user input; and electronic circuitry operable to receive the input signal. The electronic circuitry is configured to: process the input signal, and generate a control signal for controlling at least one switch based on the input signal.

Abstract: A speech recognition system comprises: an input, for receiving an input signal from at least one microphone; a first buffer, for storing the input signal; a noise reduction block, for receiving the input signal and generating a noise reduced input signal; a speech recognition engine, for receiving either the input signal output from the first buffer or the noise reduced input signal from the noise reduction block; and a selection circuit for directing either the input signal output from the first buffer or the noise reduced input signal from the noise reduction block to the speech recognition engine.

Abstract: A self-healing reactive target includes a target apparatus and a target holder. The target apparatus is a solid one-piece target apparatus made from a self-healing material. The target holder is configured to hold the one-piece target apparatus. The target holder is made from a tear resistant and self-healing material. Wherein, the solid one-piece target is configured to move about the target holder for providing reactive feedback when shot. Wherein the solid one-piece target apparatus is configured to spin within the target holder for providing instant feedback when shot.

Abstract: A valve for inflating and deflating an inflatable element includes a valve housing fluid connected to the inflatable element, an at least one hole extending through the valve housing and accommodated to let a fluid flow in and out the valve housing for inflating and deflating the inflatable element, and a flap disposed next to the at least one hole inside the valve housing, such that the flap covers the at least one hole and behaves as a flap when inflating the inflatable element. The flap is inflatable and is fluid connected with a nozzle disposed outside the valve housing. The inflatable flap, when inflated, uncovers the at least one hole releasing a fluid flow through the at least one hole for deflating the inflatable element.

Abstract: A speech recognition system comprises: an input, for receiving an input signal from at least one microphone; a first buffer, for storing the input signal; a noise reduction block, for receiving the input signal and generating a noise reduced input signal; a speech recognition engine, for receiving either the input signal output from the first buffer or the noise reduced input signal from the noise reduction block; and a selection circuit for directing either the input signal output from the first buffer or the noise reduced input signal from the noise reduction block to the speech recognition engine.

Abstract: A self-healing reactive target includes a target apparatus and a target holder. The target apparatus is a solid one-piece target apparatus made from a self-healing material. The target holder is configured to hold the one-piece target apparatus. The target holder is made from a tear resistant and self-healing material. Wherein, the solid one-piece target is configured to move about the target holder for providing reactive feedback when shot. Wherein the solid one-piece target apparatus is configured to spin within the target holder for providing instant feedback when shot.

Abstract: Received data representing speech is stored, and a trigger detection block detects a presence of data representing a trigger phrase in the received data. In response, a first part of the stored data representing at least a part of the trigger phrase is supplied to an adaptive speech enhancement block, which is trained on the first part of the stored data to derive adapted parameters for the speech enhancement block. A second part of the stored data, overlapping with the first part of the stored data, is supplied to the adaptive speech enhancement block operating with said adapted parameters, to form enhanced stored data. A second trigger phrase detection block detects the presence of data representing the trigger phrase in the enhanced stored data. In response, enhanced speech data are output from the speech enhancement block for further processing, such as speech recognition.

Abstract: An electronic device, comprising one or more input devices, for receiving biometric input from a user and generating one or more biometric input signals; an applications processor; a mixer configurable by the applications processor to provide a first signal path between one or more of the input devices and the applications processor; and a biometric authentication module coupled to the one or more input devices via a second signal path that does not include the mixer, for performing authentication of at least one of the one or more biometric input signals.

Abstract: A speech recognition system comprises: an input, for receiving an input signal from at least one microphone; a first buffer, for storing the input signal; a noise reduction block, for receiving the input signal and generating a noise reduced input signal; a speech recognition engine, for receiving either the input signal output from the first buffer or the noise reduced input signal from the noise reduction block; and a selection circuit for directing either the input signal output from the first buffer or the noise reduced input signal from the noise reduction block to the speech recognition engine.

Abstract: A self-healing reactive target includes a target apparatus and a target holder. The target apparatus is a solid one-piece target apparatus made from a self-healing material. The target holder is configured to hold the one-piece target apparatus. The target holder is made from a tear resistant material. Wherein, the solid one-piece target is configured to move about the target holder for providing reactive feedback when shot. Wherein the solid one-piece target apparatus is configured to spin within the target holder for providing instant feedback when shot.

Abstract: A method for determining the presence of unwanted signal components in an acoustic signal, comprises: receiving a first microphone signal derived from an acoustic signal, applying the first microphone signal to a first signal processing path having a first transfer function to provide a first output, receiving a second microphone signal derived from the acoustic signal, applying the second microphone signal to a second signal processing path having a second transfer function to provide a second output, wherein the second transfer function has a different degree of linearity from the first transfer function, and determining the presence of unwanted signal components in the acoustic signal based on a comparison of the first output and the second output.

Abstract: A method for determining the presence of unwanted signal components in an acoustic signal, comprises: receiving a first microphone signal derived from an acoustic signal, applying the first microphone signal to a first signal processing path having a first transfer function to provide a first output, receiving a second microphone signal derived from the acoustic signal, applying the second microphone signal to a second signal processing path having a second transfer function to provide a second output, wherein the second transfer function has a different degree of linearity from the first transfer function, and determining the presence of unwanted signal components in the acoustic signal based on a comparison of the first output and the second output.

Abstract: A speech recognition system comprises: an input, for receiving an input signal from at least one microphone; a first buffer, for storing the input signal; a noise reduction block, for receiving the input signal and generating a noise reduced input signal; a speech recognition engine, for receiving either the input signal output from the first buffer or the noise reduced input signal from the noise reduction block; and a selection circuit for directing either the input signal output from the first buffer or the noise reduced input signal from the noise reduction block to the speech recognition engine.

Abstract: Received data representing speech is stored, and a trigger detection block detects a presence of data representing a trigger phrase in the received data. In response, a first part of the stored data representing at least a part of the trigger phrase is supplied to an adaptive speech enhancement block, which is trained on the first part of the stored data to derive adapted parameters for the speech enhancement block. A second part of the stored data, overlapping with the first part of the stored data, is supplied to the adaptive speech enhancement block operating with said adapted parameters, to form enhanced stored data. A second trigger phrase detection block detects the presence of data representing the trigger phrase in the enhanced stored data. In response, enhanced speech data are output from the speech enhancement block for further processing, such as speech recognition.

Abstract: Received data representing speech is stored, and a trigger detection block detects a presence of data representing a trigger phrase in the received data. In response, a first part of the stored data representing at least a part of the trigger phrase is supplied to an adaptive speech enhancement block, which is trained on the first part of the stored data to derive adapted parameters for the speech enhancement block. A second part of the stored data, overlapping with the first part of the stored data, is supplied to the adaptive speech enhancement block operating with said adapted parameters, to form enhanced stored data. A second trigger phrase detection block detects the presence of data representing the trigger phrase in the enhanced stored data. In response, enhanced speech data are output from the speech enhancement block for further processing, such as speech recognition.

Abstract: An electronic device, comprising one or more input devices, for receiving biometric input from a user and generating one or more biometric input signals; an applications processor; a mixer configurable by the applications processor to provide a first signal path between one or more of the input devices and the applications processor; and a biometric authentication module coupled to the one or more input devices via a second signal path that does not include the mixer, for performing authentication of at least one of the one or more biometric input signals.

Abstract: Received data representing speech is stored, and a trigger detection block detects a presence of data representing a trigger phrase in the received data. In response, a first part of the stored data representing at least a part of the trigger phrase is supplied to an adaptive speech enhancement block, which is trained on the first part of the stored data to derive adapted parameters for the speech enhancement block. A second part of the stored data, overlapping with the first part of the stored data, is supplied to the adaptive speech enhancement block operating with said adapted parameters, to form enhanced stored data. A second trigger phrase detection block detects the presence of data representing the trigger phrase in the enhanced stored data. In response, enhanced speech data are output from the speech enhancement block for further processing, such as speech recognition.