Apple Inc.

Andre L Goldstein

Esge Brandt Andersen

Yacine Azmi

Vladan Bajic

A close-talk detector detects a near-end user's speech signal, while an adaptive ANC process is running, and in response helps prevent the filter coefficients of an adaptive filter of the ANC process from being corrupted, thereby reducing the risk of the adaptive filters diverge. Upon detecting speech using a vibration sensor signal and one or more microphone signals, the detector asserts a signal that slows down, or even freezes or halts, the adaptation of the adaptive filter. The signal may be de-asserted when no more speech is being detected, thereby allowing the adaptive ANC process to resume its normal rate adaptation of the filter. The detector may continuously operate in this manner during the call, as the user talks and then pauses and then resumes talking. Other embodiments are also described.

Close-talk detector for personal listening device with adaptive active noise control

A personal listening system has an active noise control (ANC) controller that produces an anti-noise signal. A head worn audio device for a user has a speaker to convert the anti-noise signal into anti-noise, an error microphone, and a reference microphone. The controller uses signals from the error and reference microphones to produce the anti-noise signal in accordance with an adaptive filter algorithm that has an adjustable parameter which changes so as to move the point at which acoustic cancellation occurs from the error microphone and closer to the user's eardrum. Other embodiments are also described and claimed.

Active noise control with compensation for error sensing at the eardrum

An audio processor has an active noise cancellation (ANC) processor to compute an S-filter, which estimates a transfer function from an earpiece speaker, that is to be worn by a user, to an error microphone. The ANC processor adaptively produces an anti noise signal for reducing ambient noise that can be heard by the user. An adaptive equalization (EQ) processor has an EQ filter controller that adjusts an EQ filter, while audio user content is being filtered in accordance with the EQ filter before being fed to the speaker and then heard by the user. Other embodiments are also described and claimed.

Adaptive audio equalization for personal listening devices

In a personal listening device, an ANC system can benefit from a mechanism to detect an off-ear condition, which may be a situation in which the user of the personal listening device has moved an earphone or handset housing away from her ear. A detector may detect such a condition using signals from a touch sensor and/or a vibration sensor that are integrated in the earphone or handset housing, and in response power down the ANC system, or in the case of an adaptive ANC system slow down, or even freeze, the adaptation of one or more adaptive filters. The detector may operate during for example a phone call or during media file playback. Other embodiments are also described.

Off-ear detector for personal listening device with active noise control

An acoustic noise cancellation (ANC) process is performed during in-the-field use of a personal listening audio device, using a control filter to produce anti-noise by the device. The process includes computing an S_hat filter that estimates a signal path between an earpiece speaker of the device and an error microphone that are at a user's ear. A response associated with the computed S_hat filter is compared to a predetermined response that is stored in the device. The control filter is adjusted in accordance with the comparison. Other embodiments are also described and claimed.

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San Jose, CA, United States of America

Andre L Goldstein