Sound reduction includes receiving a reference signal corresponding to undesired sound present in the target space, and producing, based on the reference signal, a cancelling signal representative of the undesired sound present in the target space. Sound reduction further includes producing, based on the cancelling signal, sound to destructively interfere with the undesired sound present in the target space, and delaying at least one of the reference signal and the cancelling signal to reduce or compensate for runtime differences between signal paths that transfer the reference signal to the target space.

An assistive listening device includes a set of microphones including an array arranged into pairs about a nominal listening axis with respective distinct intra-pair microphone spacings, and a pair of ear-worn loudspeakers. Audio circuitry performs arrayed-microphone short-time target cancellation processing including (1) applying short-time frequency transforms to convert time-domain audio input signals into frequency-domain signals for every short-time analysis frame, (2) calculating ratio masks from the frequency-domain signals of respective microphone pairs, wherein the calculation of a ratio mask includes both a frequency domain subtraction of signal values of a microphone pair and a scaling of a resulting frequency domain noise estimate by a pre-computed phase difference normalization vector, (3) calculating a global ratio mask from the plurality of ratio masks, and (4) applying the global ratio mask, and inverse short-time frequency transforms, to selected ones of the frequency-domain signals, thereby generating audio output signals for driving the loudspeakers. The circuitry and processing may also be realized in a machine hearing device executing a human-computer interface application.

A system includes a first earpiece having an earpiece housing configured to isolate an ambient environment from a tympanic membrane by physically blocking ambient sound, a microphone disposed within the housing and configured to receive a first ambient audio signal from the ambient environment, a processor operatively connected to the microphone wherein the processor is configured to receive the first ambient audio signal from the microphone and determine if the first ambient signal exceeds a threshold sound level, and a speaker operatively connected to the processor. In a first mode of operation the processor determines that the first ambient audio signal exceeds the threshold sound level and processes the first ambient audio signal to modify the first ambient audio signal. In a second mode of operation the processor determines that the first ambient audio signal does not exceed the threshold sound level and reproduces the first ambient audio signal at the speaker.

A method and system for reducing ambient noise distraction with an electronic personal display is disclosed. One example determines when the electronic personal display is in reader mode. In addition, ambient noise around the electronic personal display is also detected. Noise cancelling sound waves are generated at the electronic personal display for reducing ambient noise distraction. The noise cancelling sound waves are then output from at least one speaker coupled with the electronic personal display.

Certain example embodiments relate to an acoustic wall assembly that uses active and/or passive sound reverberation to achieve noise-disruptive functionality, and/or a method of making and/or using the same. With the active approach, sound waves in a given frequency range are detected by a sound masking circuit. Responsive to detection of such sound waves, an air pump (e.g., speaker) is used to pump air in the wall assembly to actively mask the detected sound waves via reverberation and/or the like. The wall assembly may include one, two, or more walls, and the walls may be partial or full walls. With the passive approach, sound waves in a given frequency range are disrupted via features (e.g., holes, slits, etc.) formed in and/or on a wall itself. These techniques may be used together or separately, in different example embodiments.

An information handling system presents audio information as audible sounds that include noise cancellation generated in response to environmental noise patterns detected by a microphone. For example, a machine learning model generates noise cancellation for plural environmental noise patterns, such as a baby crying, a dog barking, and a door bell ringing. The noise cancellation engine selectively applies and disables one or more types noise cancellation with the model based upon context at the information handling system, such as an application running on the system, a time of day or other factors.

An active noise control device includes a secondary path filter coefficient updating unit. The secondary path filter coefficient updating unit is configured to update a coefficient of a secondary path filter by using a coefficient of the secondary path filter after previous updating as a previous value, when a phase characteristic of the secondary path filter that sets an initial value as the coefficient and a phase characteristic of the secondary path filter that uses the previous value as the coefficient are not approximate to each other.

An active noise control device performs signal processing on a basic signal corresponding to a control target frequency by a control filter, which is an adaptive notch filter, to generate a control signal that controls a speaker, sequentially and adaptively updates coefficients of the control filter, compares a magnitude of a primary path filter with a magnitude of the control filter, and determines whether the state of the control filter is unstable or not.

Methods, systems, computer-readable media, and apparatuses for audio signal processing are presented. Some configurations include determining that first audio activity in at least one microphone signal is voice activity; determining whether the voice activity is voice activity of a participant in an application session active on a device; based at least on a result of the determining whether the voice activity is voice activity of a participant in the application session, generating an antinoise signal to cancel the first audio activity; and by a loudspeaker, producing an acoustic signal that is based on the antinoise signal. Applications relating to shared virtual spaces are described.

An active noise control device includes a control signal generating unit including a first adaptive filter configured to generate a control signal by performing a filtering process on a reference signal corresponding to noise, an identifying unit configured to identify a peak frequency in an impedance frequency characteristic of an actuator, a peak frequency storage unit configured to store an initial peak frequency of the actuator, a first determination unit configured to determine whether or not a difference between the peak frequency currently identified and the initial peak frequency is greater than or equal to a threshold value, and a control unit configured to change a characteristic of the control signal generated by the control signal generating unit when the first determination unit determines that the difference is greater than or equal to the threshold value.