Patent classifications
G10K2210/3031
Systems and methods for recursive norm calculation
A noise-cancellation method, comprising the steps of: receiving a value from a noise sensor at a time step; storing the received value in a buffer, the buffer having a length, the buffer further storing a number of additional values, wherein an end value is removed from the buffer to accommodate the received value; providing a previously-computed result, wherein the previously-computed result represents the sum of the square of the values stored in the buffer at a previous time step; adding a square of the received value to the previously-computed result and subtracting a square of the end value from the sum of the received value and the previously computed value in order to yield a newly-computed result and updating a plurality of coefficients of an adaptive filter according to, in part, the value of the newly-computed result.
Headphone device, terminal device, information transmitting method, and headphone system
This disclosure relates to a headphone device, a terminal device, an information transmitting method, a program, and a headphone system capable of reducing a process burden of parameter control in a noise canceling process of the headphone device. In the terminal device capable of communicating with the headphone device, a parameter appropriate for the noise canceling process is determined based on analysis of noise from outside and position information and indication information to indicate a processing parameter related to the noise canceling process in the headphone device is generated. This is transmitted to the headphone device side. In the headphone device, a processing parameter of the noise canceling process is set according to the indication information. According to this, a process to determine an optimal parameter of the noise canceling process on the headphone device side is not required.
Real-time acoustic processor
The disclosure includes an acoustic processing network comprising a Digital Signal Processor (DSP) operating at a first frequency and a Real-Time Acoustic Processor (RAP) operating at a second frequency higher than the first frequency. The DSP receives a noise signal from at least one microphone. The DSP then generates a noise filter based on the noise signal. The RAP receives the noise signal from the microphone and the noise filter from the DSP. The RAP then generates an anti-noise signal based on the noise signal and the noise filter for use in Active Noise Cancellation (ANC).
SYSTEMS AND METHODS FOR RECURSIVE NORM CALCULATION
A noise-cancellation method, comprising the steps of: receiving a value from a noise sensor at a time step; storing the received value in a buffer, the buffer having a length, the buffer further storing a number of additional values, wherein an end value is removed from the buffer to accommodate the received value; providing a previously-computed result, wherein the previously-computed result represents the sum of the square of the values stored in the buffer at a previous time step; adding a square of the received value to the previously-computed result and subtracting a square of the end value from the sum of the received value and the previously computed value in order to yield a newly-computed result and updating a plurality of coefficients of an adaptive filter according to, in part, the value of the newly-computed result.
Reduced Complexity Implementation for Acoustic Noise Canceling
The subject matter described herein provides systems and techniques for filtering an audio signal using active noise cancellation (ANC). A channel response finite impulse response (CR FIR) filter in a conventional ANC system may be replaced with a two filter cascade configuration. The first filter in the cascade filter configuration may be a CR FIR filter with interleaved zero coefficients and the second filter may be a response interpolator filter that is a fixed interpolator. The CR FIR filter in the two filter cascade may be adaptive and may have its non-zero coefficients tracked, updated, adapted, and/or computed. The fixed interpolator in the two filter cascade may be fixed and therefore non-adaptive. The channel frequency response profile of the two filter cascade configuration may be similar to the channel frequency response profile of the conventional CR FIR filter that the cascade filter configuration replaces.
SNORING ACTIVE NOISE-CANCELLATION, MASKING, AND SUPPRESSION
A kit for attenuation of noise includes a noise source audio transducer, two ear pieces, and a control unit. The two ear pieces have respective resilient bodies that engage outer portions of ear canals of respective ears of a user while respective in-ear transducers of the two ear pieces are respectively positioned in inner portions of the ear canals. The respective in-ear transducers detect discrepancies (e.g., incomplete superpositioning) between the noise and the anti-noise. The respective in-ear transducers optionally detect respective secondary path effects in the ear canals. The noise source audio transducer detects noise generated by a noise source (e.g., snoring noise). The control unit configures an adaptive filter based at least in part on an error signal, and optionally based in part on secondary path effects. The control unit generates signals representative of anti-noise. The two ear pieces produce the anti-noise responsive to the signals. The two ear pieces produce masking noise with sound level that varies in direct correlation with sound level of the noise generated by the noise source.
REAL-TIME ACOUSTIC PROCESSOR
The disclosure includes an acoustic processing network comprising a Digital Signal Processor (DSP) operating at a first frequency and a Real-Time Acoustic Processor (RAP) operating at a second frequency higher than the first frequency. The DSP receives a noise signal from at least one microphone. The DSP then generates a noise filter based on the noise signal. The RAP receives the noise signal from the microphone and the noise filter from the DSP. The RAP then generates an anti-noise signal based on the noise signal and the noise filter for use in Active Noise Cancellation (ANC).
Information handling system having acoustic noise reduction
An information handling system includes a processor configured to operate in one of a plurality of power states. An audio circuit measures an ambient audio environment within the information handling system, classifies the measured ambient audio into one of a plurality of categories, and implements a power management policy for the processor in response to the measured ambient audio being classified into the one of the categories.
Information Handling System Having Acoustic Noise Reduction
An information handling system includes a processor configured to operate in one of a plurality of power states. An audio circuit measures an ambient audio environment within the information handling system, classifies the measured ambient audio into one of a plurality of categories, and implements a power management policy for the processor in response to the measured ambient audio being classified into the one of the categories.
Real-time acoustic processor
The disclosure includes an acoustic processing network comprising a Digital Signal Processor (DSP) operating at a first frequency and a Real-Time Acoustic Processor (RAP) operating at a second frequency higher than the first frequency. The DSP receives a noise signal from at least one microphone. The DSP then generates a noise filter based on the noise signal. The RAP receives the noise signal from the microphone and the noise filter from the DSP. The RAP then generates an anti-noise signal based on the noise signal and the noise filter for use in Active Noise Cancellation (ANC).