Abstract: The present disclosure relates to a system for providing substantially synchronised haptic and audio outputs. The system includes a signal processor which is configured to receive an audio signal from a main processor of the system and to receive a haptic signal, which may be received from the main processor, or may be retrieved from memory, or else may be generated in real-time by the signal processor. The signal processor calculates a delay to be applied to the haptic signal or the audio signal and outputs a delayed version of the audio signal and the haptic signal, or a delayed version of the haptic signal and the audio signal, to appropriate output stages.

Abstract: A method of equalising sound in a headset comprising an internal microphone configured to generate a first audio signal, an external microphone configured to generate a second audio signal, a speaker, and one or more processors coupled between the speaker the external microphone, and the internal microphone, the method comprising: while the headset is worn by a user: determining a first audio transfer function between the first audio signal and the second audio signal in the presence of sound at the external microphone; and determining a second audio transfer function between a speaker input signal and the first audio signal with the speaker being driven by the speaker input signal; determining an electrical transfer function of the one or more processors; determining a closed-ear transfer function based on the first audio transfer function, the second audio transfer function and the electrical transfer function; and equalising the first audio signal based on a comparison between the closed-ear transfer funct

Abstract: The application describes systems for deriving haptic and audio drive signals from an input signal received via a single channel such as an audio channel.

Abstract: Wind noise reduction is provided by obtaining a first signal from a first microphone and a contemporaneous second signal from a second microphone. A level of the first signal is compared to a level of the second signal, within a short or substantially instantaneous time frame. If the level of the first signal exceeds the level of the second signal by greater than a predefined difference threshold, a suppression is applied to the first signal.

Abstract: A device for measuring wind noise comprises at least a first microphone and a processor. A first signal and a second signal are obtained from the at least one microphone, the first and second signals reflecting a common acoustic input, and the first and second signals being at least one of temporally distinct and spatially distinct. The first signal is processed to determine a first distribution of the samples of the first signal. The second signal is processed to determine a second distribution of the samples of the second signal. From a difference between the first distribution and the second distribution a scalar non-binary metric reflecting an intensity of wind noise present in the first and second signals is derived, and output.

Abstract: Detection of a blocked microphone involves receiving microphone signals from a plurality of microphones. A plurality of signal feature measures are derived from the microphone signals. The signal feature measures are normalised. The normalised signal feature measures are variably weighted in response to detected environmental conditions in the microphone signals. The variably weighted normalised signal feature measures are combined to produce an output indication of whether a microphone is blocked.

Abstract: Embodiments of the invention determine a speech estimate using a bone conduction sensor or accelerometer, without employing voice activity detection gating of speech estimation. Speech estimation is based either exclusively on the bone conduction signal, or is performed in combination with a microphone signal. The speech estimate is then used to condition an output signal of the microphone. There are multiple use cases for speech processing in audio devices.

Abstract: Detection of a blocked microphone involves receiving microphone signals from a plurality of microphones. A plurality of signal feature measures are derived from the microphone signals. The signal feature measures are normalised. The normalised signal feature measures are variably weighted in response to detected environmental conditions in the microphone signals. The variably weighted normalised signal feature measures are combined to produce an output indication of whether a microphone is blocked.

Abstract: Embodiments of the invention determine a speech estimate using a bone conduction sensor or accelerometer, without employing voice activity detection gating of speech estimation. Speech estimation is based either exclusively on the bone conduction signal, or is performed in combination with a microphone signal. The speech estimate is then used to condition an output signal of the microphone. There are multiple use cases for speech processing in audio devices.

Abstract: A device for measuring wind noise comprises at least a first microphone and a processor. A first signal and a second signal are obtained from the at least one microphone, the first and second signals reflecting a common acoustic input, and the first and second signals being at least one of temporally distinct and spatially distinct. The first signal is processed to determine a first distribution of the samples of the first signal. The second signal is processed to determine a second distribution of the samples of the second signal. From a difference between the first distribution and the second distribution a scalar non-binary metric reflecting an intensity of wind noise present in the first and second signals is derived, and output.

Abstract: The present disclosure relates to a system for providing substantially synchronised haptic and audio outputs. The system includes a signal processor which is configured to receive an audio signal from a main processor of the system and to receive a haptic signal, which may be received from the main processor, or may be retrieved from memory, or else may be generated in real-time by the signal processor. The signal processor calculates a delay to be applied to the haptic signal or the audio signal and outputs a delayed version of the audio signal and the haptic signal, or a delayed version of the haptic signal and the audio signal, to appropriate output stages.

Abstract: A method and device for detecting whether a headset is on ear. Microphone signals from a plurality of microphones are used to derive a plurality of signal feature measures, which are normalized to a common reference scale. The signal feature measures are weighted based upon detected signal conditions in the microphone signals. The normalized and variably weighted signal feature measures are then combined to produce an output indication of whether a headset is on ear.

Abstract: There is provided a method in a peripheral device comprising one or more microphones. The peripheral device is connectable to a host device via a digital connection. The method comprises: receiving, from the one or more microphones, an audio data stream relating to speech from a user, the audio data stream comprising a stream of data segments; and, responsive to detection of a trigger phrase in one or more first data segments of the audio data stream: effecting activation of the digital connection; and transmitting one or more biometric features extracted from the one or more first data segments to the host device via the digital connection for use in a voice biometric authentication process.

Abstract: A method and device for detecting whether a headset is on ear. Microphone signals from a plurality of microphones are used to derive a plurality of signal feature measures, which are normalized to a common reference scale. The signal feature measures are weighted based upon detected signal conditions in the microphone signals. The normalized and variably weighted signal feature measures are then combined to produce an output indication of whether a headset is on ear.

Abstract: A method and device for detecting whether a headset is on ear. Microphone signals from a plurality of microphones are used to derive a plurality of signal feature measures, which are normalized to a common reference scale. The signal feature measures are weighted based upon detected signal conditions in the microphone signals. The normalized and variably weighted signal feature measures are then combined to produce an output indication of whether a headset is on ear.

Abstract: A method and device for detecting whether a headset is on ear. A probe signal is generated for acoustic playback from a speaker. A microphone signal from a microphone is received, the microphone signal comprising at least a portion of the probe signal as received at the microphone. The microphone signal is passed to a state estimator, to produce an estimate of at least one parameter of the portion of the probe signal contained in the microphone signal. The estimate of the at least one parameter is processed to determine whether the headset is on ear.

Abstract: Detection of a blocked microphone involves receiving microphone signals from a plurality of microphones. A plurality of signal feature measures are derived from the microphone signals. The signal feature measures are normalised. The normalised signal feature measures are variably weighted in response to detected environmental conditions in the microphone signals. The variably weighted normalised signal feature measures are combined to produce an output indication of whether a microphone is blocked.

Abstract: This application relates to transfer of microphone data from a microphone (101, 102, 102a, 201) to a processing module, such as voice biometric authentication module (111) in a secure manner, such that the receiving module can trust that the received audio is genuine. An authentication module (203) is configured to receive microphone data (DM) representative of an audio signal received at the microphone (201), and generate from the microphone data, authentication data (DA) for certifying that the microphone data did pass via the authentication module. The first authentication data (DA) comprises information relating to distinguishing characteristics of the audio content of the microphone data and may, for instance be an acoustic fingerprint of the audio content. The authentication data, may be cryptographically signed or encrypted and sent with the microphone audio to allow a receiver to verify that the audio is genuine and the content has not been substantially altered.

Abstract: Embodiments of the invention determine a speech estimate using a bone conduction sensor or accelerometer, without employing voice activity detection gating of speech estimation. Speech estimation is based either exclusively on the bone conduction signal, or is performed in combination with a microphone signal. The speech estimate is then used to condition an output signal of the microphone. There are multiple use cases for speech processing in audio devices.

Abstract: A signal processing module is configured to receive left and right channels of stereo input audio data and generate first and second channels of output audio data for first and second loudspeakers where the first and second loudspeakers have different frequency responses to one another. The signal processing module comprises an impulse emphasis block configured to emphasize impulsive sounds in the received audio in at least one of the first and second channels of output audio data.