Abstract: A system, device and method to condition a wide-band calibration stimulus such as a chirp or logarithmic chirp with the purpose of reducing the dynamic range necessary for an acquisition system of an audio wearable device. The dynamic range of the stimulus is compressed using a temporal envelope and digital filters to prevent the high magnitude of the resonance peaks from clipping or saturating the response signal. Such pre-conditioning method for the calibration of the audio wearable device may allow the use of a low -depth or low-resolution acquisition system to perform the measurements.

Abstract: A system, device and method for assessing a fit quality of an earpiece while in use in a noisy environment. The earpiece having an external microphone for capturing an outer-ear audio signal and an internal microphone for capturing an inner-ear audio signal. The fit quality being assessed by estimating a filter according to the captured inner-ear and outer-ear audio signals, and determining a fit quality according to identified coefficients of the estimated filter. A system, device and method for assessing a seal quality of an earpiece while in use in a quiet environment. The earpiece having a loudspeaker for emitting a sound stimulus towards the ear canal and an internal microphone for capturing an audio signal inside the ear canal. The seal quality being assessed by estimating a transfer function according the emitted and captured sound stimulus, and determining at least one seal-quality indicator according to a signal magnitude of the transfer function.

Abstract: A system, device and method for assessing a fit quality of an earpiece while in use in a noisy environment. The earpiece having an external microphone for capturing an outer-ear audio signal and an internal microphone for capturing an inner-ear audio signal. The fit quality being assessed by estimating a filter according to the captured inner-ear and outer-ear audio signals, and determining a fit quality according to identified coefficients of the estimated filter. A system, device and method for assessing a seal quality of an earpiece while in use in a quiet environment. The earpiece having a loudspeaker for emitting a sound stimulus towards the ear canal and an internal microphone for capturing an audio signal inside the ear canal. The seal quality being assessed by estimating a transfer function according the emitted and captured sound stimulus, and determining at least one seal-quality indicator according to a signal magnitude of the transfer function.

Abstract: A system, device and method for assessing a fit quality of an earpiece while in use in a noisy environment. The earpiece having an external microphone for capturing an outer-ear audio signal and an internal microphone for capturing an inner-ear audio signal. The fit quality being assessed by estimating a filter according to the captured inner-ear and outer-ear audio signals, and determining a fit quality according to identified coefficients of the estimated filter. A system, device and method for assessing a seal quality of an earpiece while in use in a quiet environment. The earpiece having a loudspeaker for emitting a sound stimulus towards the ear canal and an internal microphone for capturing an audio signal inside the ear canal. The seal quality being assessed by estimating a transfer function according the emitted and captured sound stimulus, and determining at least one seal-quality indicator according to a signal magnitude of the transfer function.

Abstract: A device and method for the continuous monitoring of otoacoustic emissions (OAE) levels on an individual worker uses as a pair of earpieces each featuring an external microphone, an internal microphone and a pair of miniature receivers. An adaptive filtering noise rejection processing of the measured distortion product OAE (DPOAE) is used to further improve the Signal-to-Noise ratio in frequencies where passive isolation remains insufficient. The adaptive filtering noise rejection technique relies on a Normalized Least-Mean-Square (NLMS) algorithm that uses the ipsilateral external microphone and the contralateral internal microphone to reject the noise from the measured DPOAE signals for each in-ear OAE probe. A DPOAE signal extraction algorithm provides for an increase in results reliability on a greater dynamic range in DPOAE magnitudes than known methods of DPOAE signal extraction.

Abstract: A system, device and method for assessing a fit quality of an earpiece while in use in a noisy environment. The earpiece having an external microphone for capturing an outer-ear audio signal and an internal microphone for capturing an inner-ear audio signal. The fit quality being assessed by estimating a filter according to the captured inner-ear and outer-ear audio signals, and determining a fit quality according to identified coefficients of the estimated filter. A system, device and method for assessing a seal quality of an earpiece while in use in a quiet environment. The earpiece having a loudspeaker for emitting a sound stimulus towards the ear canal and an internal microphone for capturing an audio signal inside the ear canal. The seal quality being assessed by estimating a transfer function according the emitted and captured sound stimulus, and determining at least one seal-quality indicator according to a signal magnitude of the transfer function.

Abstract: A device and method for the continuous monitoring of otoacoustic emissions (OAE) levels on an individual worker uses as a pair of earpieces each featuring an external microphone, an internal microphone and a pair of miniature receivers. An adaptive filtering noise rejection processing of the measured distortion product OAE (DPOAE) is used to further improve the Signal-to-Noise ratio in frequencies where passive isolation remains insufficient. The adaptive filtering noise rejection technique relies on a Normalized Least-Mean-Square (NLMS) algorithm that uses the ipsilateral external microphone and the contralateral internal microphone to reject the noise from the measured DPOAE signals for each in-ear OAE probe. A DPOAE signal extraction algorithm provides for an increase in results reliability on a greater dynamic range in DPOAE magnitudes than known methods of DPOAE signal extraction.

Abstract: A device and method for the continuous monitoring of otoacoustic emissions (OAE) levels on an individual worker uses as a pair of earpieces each featuring an external microphone, an internal microphone and a pair of miniature receivers. An adaptive filtering noise rejection processing of the measured distortion product OAE (DPOAE) is used to further improve the Signal-to-Noise ratio in frequencies where passive isolation remains insufficient. The adaptive filtering noise rejection technique relies on a Normalized Least-Mean-Square (NLMS) algorithm that uses the ipsilateral external microphone and the contralateral internal microphone to reject the noise from the measured DPOAE signals for each in-ear OAE probe. A DPOAE signal extraction algorithm provides for an increase in results reliability on a greater dynamic range in DPOAE magnitudes than known methods of DPOAE signal extraction.

Abstract: A device and method for the continuous monitoring of otoacoustic emissions (OAE) levels on an individual worker uses as a pair of earpieces each featuring an external microphone, an internal microphone and a pair of miniature receivers. An adaptive filtering noise rejection processing of the measured distortion product OAE (DPOAE) is used to further improve the Signal-to-Noise ratio in frequencies where passive isolation remains insufficient. The adaptive filtering noise rejection technique relies on a Normalized Least-Mean-Square (NLMS) algorithm that uses the ipsilateral external microphone and the contralateral internal microphone to reject the noise from the measured DPOAE signals for each in-ear OAE probe. A DPOAE signal extraction algorithm provides for an increase in results reliability on a greater dynamic range in DPOAE magnitudes than known methods of DPOAE signal extraction.