Abstract: In at least one embodiment, an embedded Linux system is provided. The Linux system includes a memory, a system on a chip (SoC) device, and a first circuit. The SoC device includes the memory and is programmed to process at least a reference signal indicative of undesired audio content and a measured signal indicative of measured audio data in a listening environment. The first circuit is programmed to receive the reference signal and the measured signal. The first circuit is further programmed to merge the reference signal with the measured signal to provide a combined system input to the SoC device to prevent temporal misalignment between the reference signal and the measured signal caused by one or more software layers of the Linux system.

Abstract: Systems and methods for noise reduction are provided including operations for noisy speech signals, such as speech signals that are subject to speech processing, speech recognition and speech transmission for voice communication purposes. In one embodiment, a system for noise suppression includes an input smoothing filter to smooth magnitudes of the input spectrum, a desired noise shape determination block configured to determine a desired noise shape of the noise spectrum dependent on the smoothed-magnitude input spectrum, and a suppression factors determination block configured to determine a set of suppression factors based on the desired noise shape and the smoothed-magnitude input spectrum. In one embodiment, a filter coefficient determination block is configured to determine noise suppression filter coefficients from the desired noise shape of the noise spectrum. Embodiments are also directed to systems and methods for noise reduction.

Abstract: In at least one embodiment, an embedded Linux system is provided. The Linux system includes a memory, a system on a chip (SoC) device, and a first circuit. The SoC device includes the memory and is programmed to process at least a reference signal indicative of undesired audio content and a measured signal indicative of measured audio data in a listening environment. The first circuit is programmed to receive the reference signal and the measured signal. The first circuit is further programmed to merge the reference signal with the measured signal to provide a combined system input to the SoC device to prevent temporal misalignment between the reference signal and the measured signal caused by one or more software layers of the Linux system.

Abstract: Systems and methods for noise reduction are provided including operations for noisy speech signals, such as speech signals that are subject to speech processing, speech recognition and speech transmission for voice communication purposes. In one embodiment, a system for noise suppression includes an input smoothing filter to smooth magnitudes of the input spectrum, a desired noise shape determination block configured to determine a desired noise shape of the noise spectrum dependent on the smoothed-magnitude input spectrum, and a suppression factors determination block configured to determine a set of suppression factors based on the desired noise shape and the smoothed-magnitude input spectrum. In one embodiment, a filter coefficient determination block is configured to determine noise suppression filter coefficients from the desired noise shape of the noise spectrum. Embodiments are also directed to systems and methods for noise reduction.

Abstract: The present invention relates to a method of noise reduction including the steps of filtering reference signals and representing noise by an adaptive filter comprising adaptive filter coefficients to obtain actuator driving signals, outputting the actuator driving signals by loudspeakers to obtain loudspeaker signals. The method further includes detecting the loudspeaker signals by microphones and filtering the reference signals by estimated transfer functions representing the transfer of the loudspeaker signals output by the loudspeakers to the microphones to obtain filtered reference signals. The method further includes updating the filter coefficients of the adaptive filter based on the filtered reference signals and based on the previously updated filter coefficients of the adaptive filter multiplied by leakage factors.

Abstract: The present disclosure provides a system for the synthesis of external sound of a vehicle, the system comprising a hazard analysis unit configured to detect a collision hazard between the vehicle and at least one further road user, in particular an outside traffic participant; at least one electroacoustic transducer; and a sound processing unit configured to generate an audio signal representing an, in particular vehicle dependent, synthetic noise signal and to control the at least one electroacoustic transducer to output a synthetic external sound based on the audio signal, wherein the sound processing unit is configured to modify the audio signal to enhance the perceptibility of the synthetic external sound by the further road user upon detection of the collision hazard.

Abstract: The present disclosure provides a system for the synthesis of external sound of a vehicle, the system comprising a hazard analysis unit configured to detect a collision hazard between the vehicle and at least one further road user, in particular an outside traffic participant; at least one electroacoustic transducer; and a sound processing unit configured to generate an audio signal representing an, in particular vehicle dependent, synthetic noise signal and to control the at least one electroacoustic transducer to output a synthetic external sound based on the audio signal, wherein the sound processing unit is configured to modify the audio signal to enhance the perceptibility of the synthetic external sound by the further road user upon detection of the collision hazard.

Abstract: The present invention relates to a method of noise reduction including the steps of filtering reference signals and representing noise by an adaptive filter comprising adaptive filter coefficients to obtain actuator driving signals, outputting the actuator driving signals by loudspeakers to obtain loudspeaker signals. The method further includes detecting the loudspeaker signals by microphones and filtering the reference signals by estimated transfer functions representing the transfer of the loudspeaker signals output by the loudspeakers to the microphones to obtain filtered reference signals. The method further includes updating the filter coefficients of the adaptive filter based on the filtered reference signals and based on the previously updated filter coefficients of the adaptive filter multiplied by leakage factors.