Abstract: In at least one embodiment, an active noise cancellation (ANC) system is provided. An audio signal source provides an audio signal. At least one loudspeaker projects anti-noise sound within a cabin. At least one microphone provides a first error signal indicative of the noise, the audio signal, and the anti-noise sound and a second error signal indicative of an estimated anti-noise signal. At least one controller is programmed to receive the first error signal and the second error signal and to provide an estimated impulse response based at least on the first error signal and the second error signal. The at least one controller is further programmed to compare the estimated impulse response to one or more pre-stored impulse responses; and to select a first pre-stored impulse response that matches the estimated impulse response to filter one or more reference signals at an adaptive filter to generate the anti-noise signal.

Abstract: A noise cancellation signal generation device includes a reference sensor; a speaker that outputs sound based on a noise cancellation signal a memory that records second information for obtaining a filter coefficient of a noise cancellation filter calculated on the basis of first information obtained in consideration of a change in a relative position between the speaker and a noise cancellation point and a noise cancellation processor that acquires the second information from the memory using a signal acquired by a sensor, and generates the noise cancellation signal on the basis of the filter coefficient obtained from the acquired second information and a reference signal acquired by the reference sensor.

Abstract: An apparatus including circuitry configured to: obtain at least two audio signals; determine, with respect to the at least two audio signals, an audio object part and an ambience audio part; determine a level parameter based on the ambience audio part; apply a noise suppression to the audio object part, wherein the noise suppression is configured to be controlled based on the determined level parameter; and generate a noise suppressed audio object part based on the applied noise suppression.

Abstract: A non-linear echo is allowed to be suppressed and voice deterioration is allowed to be suppressed. An echo suppression device for suppressing an echo generated by inputting a voice signal output from a speaker to a microphone includes a compressor on a receiving signal path for transmitting a signal of a receiving signal to the speaker. When a double-talk state has been detected, the compressor performs a compression process on a signal greater than a first threshold among the receiving signals.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to enhance and audio signal.

Abstract: Embodiments include a method and noise cancelling system for cancelling noise in a vehicle by operating at least one noise cancelling means in a first mode of operation to output a noise cancelling signal; receiving at least one input indicative of a state of the vehicle; determining if noise cancelling error conditions are present based on the at least one received input indicative of a state of the vehicle; and operating at least one noise cancelling means in a second mode of operation if noise cancelling error conditions are determined as present.

Abstract: A noise reduction device reduces noise occurring in a space inside a mobile apparatus. The noise reduction device includes: a status signal receiver to which a status signal indicating a status of a movable component provided for the mobile apparatus is inputted; and a controller that, when the status signal inputted indicates that the movable component is not in a predetermined base status, performs control over the output of the cancelling sound differently in each case, depending on whether or not the status signal includes information indicating a shift amount of the movable component.

Abstract: An object is to provide a sound collection apparatus capable of collecting a sound with a higher SN rate than before through use of a reflected sound. The sound collection apparatus is installed in a vehicle. The vehicle includes a seat for a passenger to sit on, and a reflective structure that reflects a sound emitted by a passenger sitting in the seat. The sound collection apparatus includes a first microphone arranged at a position where a direct sound that is a sound emitted by the passenger is readily collected, and a second microphone arranged at a position where a reflected sound that is a sound emitted by the passenger and reflected by the reflective structure is readily collected.

Abstract: In a first system signal processing unit, a first system auxiliary filter generates a correction signal for correcting an error signal from a noise signal, a first system subtractor subtracts the correction signal from an output of a first microphone to obtain an error signal, an adaptive filter performs an adaptive operation using the error signal to generate a cancel sound output from a first speaker, and a DMS detects a position of a user's ear. When the position of the user's ear moves, the controller stops the adaptive operation, updates the transfer function of the first system auxiliary filter to the transfer function corresponding to the noise cancel position matching the position of the user's ear, gradually changes the transfer function of the adaptive filter to the transfer function corresponding to the matching noise cancel position, and resumes the adaptive operation after the change is completed.

Abstract: In an active noise reducing headphone, a signal processor applies filters and control gains of both the feed-forward and feedback active noise cancellation signal paths. The signal processor is configured to apply first feed-forward filters to the feed-forward signal path and apply first feedback filters to the feedback signal path during a first operating mode providing effective cancellation of ambient sound, and to apply second feed-forward filters to the feed-forward signal path during a second operating mode providing active hear-through of ambient sounds with ambient naturalness.

Abstract: A design method for feedforward active noise control system is disclosed. Based on a target signal and a reference signal, a first adaptive system identifying unit is enabled to complete a first system identification process for producing a first adaptive filter, and then a second adaptive system identifying unit is enabled to complete a second system identification process for producing a second adaptive filter. After the second adaptive filter is converted to a digitally-controlled filter by using a system identification tool, the digitally-controlled filter is implemented into a DSP chip of a feedforward active noise control system. As a result, it is able to find that not only the computing loading of the DSP chip is significantly lowered while an adaptive algorithm executes an active noise control computing, but also the feedforward active noise control system exhibits a broad frequency bandwidth noise cancelling ability.

Abstract: Adaptive filters output a cancellation sound from a speaker, a selector selects outputs of a plurality of auxiliary filters each corresponding to different positions, a subtractor subtracts the selected output from the output of the microphone and outputs the subtracted output to the adaptive filter as an error signal, and a position detection device detects a position of a head of a user. A transfer function estimated so that the error signal becomes 0 when noise is canceled at the corresponding position is preset in the auxiliary filter. When the auxiliary filter corresponding to the position close to the head of the user changes, the switching control unit stepwise increases the frequency with which the output of the auxiliary filter is selected by the selector to 100%.

Abstract: An acoustical cap that covers a microphone and allows a user to adjust the frequency response of the sound that the microphone receives. The acoustical cap has at least two different inlets that connect to respective cavities. These inlets and their associated cavities form resonators that have different frequency responses. Because the microphone cap has multiple resonators, a user is able to quickly and easily adjust the frequency response of the sound that the microphone receives by adjusting the orientation of the acoustical cap instead of having to carry multiple acoustical caps.

Abstract: A noise cancelation system for an unmanned aerial vehicle may have an audio capture module, a metadata module and a filter. The audio capture module may be configured to receive an audio signal captured from a microphone, e.g., on a camera. The metadata module may be configured to retrieve noise information associated with noise generating components operating on the unmanned aerial vehicle (UAV). The filter may be configured to receive the audio signal and noise information from the audio capture module. The filter also may be configured to retrieve a baseline profile from a database based on the noise information. The baseline profile includes noise parameter to filter out audio frequencies from the audio signal corresponding to the noise generating component. The filter may generate a filtered audio signal for output.

Abstract: The implementations described include an audio canceling device that receives and audio signal from within an environment, identifies desired and undesired audio from the received audio signal and generates an attenuation-signal for use in canceling out or reducing the volume of the undesired audio at a canceling location. In addition, the audio canceling device, may determine a time delay before the attenuation-signal should be transmitted from an output based on a distance between the undesired audio source location and the canceling location and a distance between the output and the canceling location.

Abstract: A vehicular apparatus for active noise control may include: a sensing unit configured to sense information characterizing at least one of an environment inside of a vehicle and an environment outside of the vehicle; and a controller configured extract road roughness information characterizing road roughness from the sensed information, to calculate a convergence coefficient based on the road roughness information, to generate a control signal by applying the convergence coefficient to a control filter coefficient, and to perform active noise control using the control signal.

Abstract: A method of acoustic tuning includes: outputting, with a first speaker among a plurality of speakers in different locations on an aircraft cabin, a first sound; detecting, with a plurality of microphones in different locations of the cabin, first reflected sounds of the first sound; outputting, with a second speaker among the plurality of speakers, a second sound; detecting, with the plurality of microphones, second reflected sounds of the second sound; comparing, with a server connected to the speakers and the microphones, the first sound and the second sound with each of the first reflected sounds and each of the second reflected sounds, respectively; and adjusting an output gain and frequency phase of each of the plurality of speakers based on the comparisons between the first sound and each of the first reflected sounds and between the second sound and each of the second reflected sounds.

Abstract: An active noise cancellation (ANC) system may include provisions for validating the accuracy of a modeled transfer characteristic stored in secondary path filters, which provides an estimate of the secondary path (i.e., the transfer function between a speaker and an error microphone). Using estimated anti-noise or music signals to adjust an error signal from the error microphone, a signal analysis controller may detect ANC instability or noise boosting. Such noise boosting may indicate the stored transfer characteristic in the secondary path filter does not accurately represent the actual secondary path. According, upon detection of noise boosting, the stored transfer characteristic of the secondary path filters may be modified.

Abstract: A system and method is configured to generate a sound wave field around a listening position in a target loudspeaker-room-microphone system in which a loudspeaker array of K?1 groups of loudspeakers is disposed around the listening position, and a microphone array of M?1 groups of microphones is disposed at the listening position. The system and method include equalizing filtering with controllable transfer functions in signal paths upstream of the K groups of loudspeakers. The system and method further include controlling with equalization control signals of the controllable transfer functions for equalizing filtering according to an adaptive control algorithm based on error signals and an input signal. The microphone array includes at least two first groups of microphones that are annularly disposed around a listener's head, around or in an artificial head or around or in a rigid sphere.

Abstract: An active noise cancellation (ANC) system may include an adaptive filter divergence detector for detecting divergence of the one or more controllable filters as they adapt, based on dynamically adapted thresholds. Upon detection of a controllable filter divergence, the ANC system may be deactivated, or certain speakers may be muted. Alternatively, the ANC system may modify the diverged controllable filters to restore proper operation of the noise cancelling system.

Abstract: Systems and methods for reducing noise or vibration generated by an internal combustion engine are described. An engine controller is arranged to operate the working chambers of the engine in a cylinder output level modulation manner A noise/vibration reduction unit actively control of a device that is not a part of the powertrain. The device is controlled in a feed forward manner to alter an NVH characteristic of the vehicle in a desired manner based at least in part on a characteristic of the cylinder output level modulation operation of the engine.

Abstract: The invention relates to a method for compensating for interfering noises in a hands-free apparatus in a motor vehicle as well as a hands-free apparatus in a motor vehicle, comprising at least one microphone, at least one loudspeaker, a control device with at least one adaptive filter as well as a transmitting and receiving apparatus, wherein a pre-filter is arranged before the adaptive filter or predetermined filter coefficients (w[n]) are saved in the adaptive filter, wherein the filter coefficients (w[n]) minimize a vehicle-specific acoustic error signal of the vehicle interior.

Abstract: A noise cancelation system for an unmanned aerial vehicle may have an audio capture module, a metadata module and a filter. The audio capture module may be configured to receive an audio signal captured from a microphone, e.g., on a camera. The metadata module may be configured to retrieve noise information associated with noise generating components operating on the unmanned aerial vehicle (UAV). The filter may be configured to receive the audio signal and noise information from the audio capture module. The filter also may be configured to retrieve a baseline profile from a database based on the noise information. The baseline profile includes noise parameter to filter out audio frequencies from the audio signal corresponding to the noise generating component. The filter may generate a filtered audio signal for output.

Abstract: A system and method are configured to generate a sound wave field around a listening position in a target loudspeaker-room-microphone system in which a loudspeaker array of K?1 groups of loudspeakers, with each group of loudspeakers having at least one loudspeaker, is disposed around the listening position, and a microphone array of M?1 groups of microphones, with each group of microphones having at least one microphone, is disposed at the listening position. The system and method include equalizing filtering with controllable transfer functions in signal paths upstream of the K groups of loudspeakers and downstream of an input signal path, and controlling with equalization control signals of the controllable transfer functions for equalizing filtering according to an adaptive control algorithm based on error signals from the M groups of microphones and an input signal on the input signal path.

Abstract: A feedforward ambient noise reduction arrangement includes, within a housing, a loudspeaker device for directing sound energy into an ear of a listener. Disposed externally of the housing, and positioned to sense ambient noise on its way to the listener's ear, are plural microphone devices capable of converting the sensed ambient noise into electrical signals for application to the loudspeaker to generate an acoustic signal opposing the ambient noise. Importantly, the overall arrangement is such that the acoustic signal is generated by said loudspeaker means in substantial time alignment with the arrival of said ambient noise at the listener's ear.

Abstract: A noise reduction device is connectable to a plurality of sound acquisition devices and a plurality of control sound output devices for reducing noises in a given space where seats are arranged and a sound field can be formed. The device includes a sound receiver, a processor, a control sound transmitter. The sound receiver receives a sound signal from at least two of the plurality of sound acquisition devices. The processor detects a state change of the sound field, and generates a control sound signal for reducing noise with respect to the sound signal. The control sound transmitter outputs the control sound signal to each of control sound output devices. The processor acquires, for example, seat information for specifying the reclining state of a seat. The processor controls the generation of the control sound signal based on the change of state of the sound field including the seat information.

Abstract: A system and method for simulating activity of a fluid in a volume that represents a physical space, the activity of the fluid in the volume being simulated so as to model movement of elements within the volume. The method includes at a first time, identifying a first set of vortices in a transient and turbulent flow. The method includes at a second time that is subsequent to the first time, identifying a second set of vortices. The method includes tracking changes in the vortices by comparing the first set and the second set of discrete vortices. The method includes identifying one or more noise sources based on the tracking. The method includes determining the contribution of one or more noise sources at a receiver. The method also includes outputting data indicating one or more modifications to one or more geometric features of a device or an entity.

Abstract: Techniques for using a sound spectrum to generate models, which identify unmanned aerial vehicle (UAV) configurations, are described herein. The models may be based on components associated with a UAV, and instructions for manufacture of a UAV may be provided. For example, a sound spectrum may be obtained by a computer system which is used to generate one or more models. The one or more models are based in part on components of a UAV and identify UAV configurations that will generate an expected sound within the identified sound spectrum. The UAV configurations identified by the models are used to instruct manufacture of a UAV.

Abstract: A noise reducing device includes: an acoustic-to-electric conversion section for collecting noise and outputting an analog noise signal; an analog-to-digital conversion section for converting the analog noise signal into a digital noise signal; and a digital processing section for generating a digital noise reducing signal on a basis of the digital noise signal and a desired parameter. The device further includes: a retaining section for retaining a plurality of parameters corresponding to a plurality of kinds of noise characteristics; a setting section for setting one of the plurality of parameters as the desired parameter of the digital processing section; a digital-to-analog conversion section for converting the digital noise reducing signal into an analog noise reducing signal; and an electric-to-acoustic conversion section for outputting noise reducing sound on a basis of the analog noise reducing signal.

Abstract: Example techniques may involve controlling a passive radiator. An implementation may include a device playing back an input signal representing audio content via one or more active speakers. The device measures excursion of the passive radiator when the input signal is played back via the one or more active speakers. The device limits excursion of the passive radiator to less than an excursion limit when certain input causes the passive radiator to move beyond the excursion limit.

Abstract: A mobile body includes a driving mechanism, a speaker, and a control unit. The driving mechanism supplies power moving the mobile body. The control unit generates from the speaker a sound wave canceling a driving sound generated from the driving mechanism.

Abstract: Aspects of the present invention relate to noise modification systems of motor vehicles, and controllers and methods of use thereof.

Abstract: The implementations described include an audio canceling device that receives an unmanned aerial vehicle (“UAV”) audio signature representative of audio generated by an unmanned aerial vehicle, monitors audio within an environment in which the audio canceling device is located for audio generated by the UAV, generates an attenuation-signal based on detected audio generated by the UAV, and outputs the attenuation-signal to attenuate the audio generated by the UAV. In one example, the audio canceling device may be used to attenuate audio generated by a UAV that is permeating into a user's home during delivery of an item to the user's home by the UAV.

Abstract: A noise-reduction control method includes performing frequency-domain weighting and temporal-domain weighting to a noise signal collected at current time to obtain a weighted energy. Judging whether active noise-reduction control is needed based on the weighted energy; calculating an energy value of a first sub-band and an energy value of a second sub-band of the noise signal collected by the feedforward microphone at the current time, wherein the first sub-band and the second sub-band are determined based on a feedforward noise-reduction curve and a feedback noise-reduction curve of the earphone, respectively. Determining a feedforward noise-reduction amount and a feedback noise-reduction amount based on the energy value of the first sub-band and the energy value of the second sub-band, respectively.

Abstract: An off-head detection system for an in-ear headset comprises an input device that receives an audio signal, a feed-forward microphone signal, and a driver output signal; an expected-output computation circuit that predicts a value of the driver output signal based on a combination of the audio signal and the feed-forward microphone signal from the signal monitoring circuit, and off-head data from the off-head model; and a comparison circuit that compares the observed output signal provided to the driver and the computed expected output to determine an off-head state of the in-ear headset.

Abstract: An off-head detection system for an in-ear headset comprises an input device that receives an audio signal, a feed-forward microphone signal, and a driver output signal; an expected-output computation circuit that predicts a value of the driver output signal based on a combination of the audio signal and the feed-forward microphone signal from the signal monitoring circuit, and off-head data from the off-head model; and a comparison circuit that compares the observed output signal provided to the driver and the computed expected output to determine an off-head state of the in-ear headset.

Abstract: Aspects of the present invention relate to an active noise system, a controller for an active noise system, a method and a hybrid electric vehicle. The invention relates to use of an active noise system for providing noise when an ICE is not active.

Abstract: A noise cancellation system for an unmanned aerial vehicle may have an audio capture module, a metadata module and a filter. The audio capture module may be configured to receive an audio signal captured from a microphone, e.g., on a camera. The metadata module may be configured to retrieve noise information associated with noise generating components operating on the unmanned aerial vehicle (UAV). The filter may be configured to receive the audio signal and noise information from the audio capture module. The filter also may be configured to retrieve a baseline profile from a database based on the noise information. The baseline profile includes noise parameter to filter out audio frequencies from the audio signal corresponding to the noise generating component. The filter may generate a filtered audio signal for output.

Abstract: Example techniques may involve controlling a passive radiator. An implementation may include a device buffering successive samples of audio content. For sets of buffered samples, the device predicts excursion of the passive radiator caused by playback of the respective set of buffered samples by active speakers via a model. The device limits excursion of the passive radiator to less than an excursion limit when certain sets of buffered samples are predicted to cause the passive radiator to move beyond the excursion limit. The device plays back the successive samples of the modified audio content via the active speakers. The device measures excursion of the passive radiator when sets of buffered samples are played back via the active speakers. For sets of samples, the device determines respective differences between the predicted excursion and the measured excursion and adjusts the model to offset determined differences between the predicted and measured excursion.

Abstract: The various embodiments set forth an active noise cancellation system that includes a source separation algorithm. The source separation algorithm enables the identification of acoustic inputs from a particular sound source based on a reference signal generated with one or more microphones. Consequently, the identified acoustic inputs can be cancelled or damped in a targeted listening location via an acoustic correction signal, where the acoustic correction signal is generated based on a sound source separated from the reference signal. Advantageously, the reference signal can be generated with a microphone, even though such a reference signal may include a combination of multiple acoustic inputs. Thus, noise sources that cannot be individually measured, for example with an accelerometer mounted to a vibrating structure, can still be identified and actively cancelled.

Abstract: The present method comprises: providing a feedforward microphone outside of each earphone of the active noise-reduction earphones; detecting an amount of external noise by using the feedforward microphone; calculating a weighted energy of a noise signal; and determining whether it is needed to activate the active noise-reduction system based on the weighted energy. When the active noise-reduction control is needed, calculating energy values of two sub-bands, corresponding to the feedforward noise-reduction amount and the feedback noise-reduction amount respectively, in the noise signal, thereby determining the noise-reduction amounts of the feedforward noise reduction system and the feedback noise-reduction system, and controlling the earphone to perform corresponding feedforward noise reduction and feedback noise reduction. Compared with the existing active noise-reduction technologies with a fixed noise reduction, the present invention can optimize the noise-reduction effect.

Abstract: A sound system for a motor vehicle exhaust gas system for emitting emulated engine sounds, including at least one loudspeaker and at least one housing accommodating at least one loudspeaker. The housing is mounted separately from a motor vehicle exhaust gas system in terms of the routing of an exhaust gas flow, at least one sound guidance tube having an outlet zone being mounted on the housing.

Abstract: An active noise reduction (ANR) earphone system includes a feedback microphone for detecting noise, feedback circuitry, responsive to the feedback microphone, for applying a digital filter Kfb to an output of the feedback microphone to produce an antinoise signal, an electroacoustic driver for transducing the antinoise signal into acoustic energy, a housing supporting the feedback microphone and the driver near the entrance to the ear canal, and an ear tip for coupling the housing to the external anatomical structures of a first ear of a user and positioning the housing to provide a consistent acoustic coupling of the feedback microphone and the driver to the ear canal of the first ear. The acoustic coupling includes a tube of air defined by the combination of the housing and ear tip, having a length L and effective cross-sectional area A such that the ratio L/A is less than 0.6 m?1.

Abstract: The present invention relates to a system for suppressing transient interference from a signal. The system includes a modeling system, wherein the modeling system constructs a model of transient interference from a first signal, and a filtering system, wherein the filtering system suppresses transient interference from a second signal by applying the model to the second signal.

Abstract: An active noise equalization (ANE) system may be run on the existing audio/infotainment system as a software library. The ANE system may share components (e.g., microphones and sensors) with other audio applications. Some ANEs include a complex-domain formulation of a multiple-frequency multiple-channel ANE that requires less memory and processing requirements. The complex-domain system replaces the multiplication of multiple real gains with multiple real signals with a single complex multiplication operation.

Abstract: A method of operating an audio system in a vehicle includes providing m number of microphones disposed within a passenger compartment of the vehicle. The microphones produce a plurality of microphone signals. Within the passenger compartment of the vehicle, k number of loudspeakers are provided. A plurality of convergence factors ? for use in performing active noise control are estimated. The estimating includes calculating an Eigen value ?(?) of an autocorrelation matrix of a passenger compartment transfer function as ? k ? ( ? ) = A k ? ( ? ) 2 2 , wherein Ak(?) is the frequency response of the passenger compartment transfer function. A frequency ?min of a local minimum of ?(?) is determined. A largest stable value for ?Max(?min) is found by experimentation, wherein a rotational speed of an engine of the vehicle, expressed in revolutions per minute, frpm=2??min. A calibration factor is calculated as L=?(?min)?Max(?min).

Abstract: Boomless-microphones are described for a wireless helmet communicator with siren signal detection and classification capabilities. An acoustic component receives an audio signal and comprises a left acoustic sensor and a right acoustic sensor. The left acoustic sensor is mountable or attachable to the surface of a left wall of a helmet and the right acoustic sensor is mountable or attachable to the surface of a right wall. A speaker component can generate an echoless audio signal via signal inversion of the audio signal, outputs to a left speaker mountable or attachable to a left ear area of the helmet and a right speaker mountable or attachable to a right ear area of the helmet. A signal enhancement component can increase an intensity of the first audio signal associated with an emergency siren based on a determined proximity of an emitting emergency vehicle or emergency object to the device.

Abstract: A self tuned apparatus (100) for active noise control includes a first transducer (105) and a second transducer (110), a noise controlling module (115), a power amplifier (120) and a first loudspeaker (125) and a second loudspeaker (130) coupled to the power amplifier (120). The noise controlling module (115) is coupled to the first transducer (105) and the second transducer (110). The power amplifier (120) is coupled to the noise controlling module (115). Particularly, the noise controlling module (115) employs at least one control algorithm.

Abstract: A noise reduction control apparatus and method for detecting a noise signal with a microphone and generating a first control sound for attenuating the noise signal based on control characteristics of a control filter. Further, the first control sound is emitted and measured during a first period. By measuring a sound reflected from an object, a position of the object is estimated. Using the estimated position of the object, the noise is attenuated at the estimated position. Accordingly, it is possible to continuously reduce noise at an estimated position of an object.

Abstract: Maximum likelihood bit-stream generation and detection techniques are provided using the M-algorithm and Infinite Impulse Response (IIR) filtering. The M-Algorithm is applied to a target input signal X to perform Maximum Likelihood Sequence Estimation on the target input signal X to produce a digital bit stream B, such that after filtering by an IIR filter, the produced digital stream Y produces an error signal satisfying one or more predefined requirements. The predefined requirements comprise, for example, a substantially minimum error. In an exemplary bit detection implementation, the target input signal X comprises an observed analog signal and the produced digital stream Y comprises a digitized output of a receive channel corresponding to a transmitted bit stream. In an exemplary bit stream generation implementation, the target input signal X comprises a desired transmit signal and the produced digital stream Y comprises an estimate of the desired transmit signal.