Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, sleep disturbing noises are predicted and a biosignal parameter is measured to dynamically mask predicted disturbing environmental noises in the sleeping environment with active attenuation. Environmental noises in a sleeping environment of a subject are detected, input, or predicted based on historical data of the sleeping environment collected over a period of time. The biosignal parameter is used to determine sleep physiology of a subject. Based on the environmental noises in the sleeping environment and the determined sleep physiology, the noises are predicted to be disturbing or non-disturbing noises. For predicted disturbing noises, one or more actions are taken to regulate sleep and avoid sleep disruption by using sound masking prior to or concurrently with the occurrence of the predicted disturbing noises.

A portable calibration system is disclosed that calibrates an audio equipment without using a dedicated sound level meter. The calibration system comprises a coupler configured to couple a transducer to an energy sensor, where an output of the transducer is provided to the energy sensor via the coupler, an analyzer module configured to receive information from the energy sensor regarding the output of the transducer, a processor, in the analyzer module, configured to process the information to provide a result of a calibration for the audio equipment with respect to expected results, and a display configured to display the result of the calibration.

A sound spatialisation method includes determining digital processing parameters to be applied to sound signals to be broadcast by a set of at least two loudspeakers in order to reproduce a virtual sound source at a desired position, and restoring sound signals by the loudspeakers during which the digital processing parameters are applied to the sound signals. The sound spatialisation method also includes defining a trajectory defined by a set of N points, with two consecutive points of the trajectory being connected together by a curve, and positioning during which the desired position of the virtual sound source is defined on the trajectory.

A method for eliminating unstable noise is provided and applicable to a sound recording device and implemented by a codec. The method includes: activating the sound recording device to start recording; setting a suppression duration and a cutoff frequency switching duration according to unstable noise and a DC offset value of the sound recording device; processing a front-end audio of a recorded sound by a filter having a first cutoff frequency to make the unstable noise in the front-end audio quickly converge, and outputting a filtered audio signal; suppressing the filtered audio signal according to the suppression duration to eliminate the unstable noise; and adjusting the first cutoff frequency of the filter to a second cutoff frequency according to the cutoff frequency switching duration, where the first cutoff frequency is greater than the second cutoff frequency. A device for eliminating unstable noise is also provided.

A method for eliminating unstable noise is provided and applicable to a sound recording device and implemented by a codec. The method includes: activating the sound recording device to start recording; setting a suppression duration and a cutoff frequency switching duration according to unstable noise and a DC offset value of the sound recording device; processing a front-end audio of a recorded sound by a filter having a first cutoff frequency to make the unstable noise in the front-end audio quickly converge, and outputting a filtered audio signal; suppressing the filtered audio signal according to the suppression duration to eliminate the unstable noise; and adjusting the first cutoff frequency of the filter to a second cutoff frequency according to the cutoff frequency switching duration, where the first cutoff frequency is greater than the second cutoff frequency. A device for eliminating unstable noise is also provided.

Embodiments of the present disclosure provide an earphone debugging method and device, and a storage medium. The earphone debugging method comprises the following steps: obtaining configuration parameters to be updated of a slave earphone and configuration parameters to be updated of a master earphone by the master earphone; sending, by the master earphone, the configuration parameters to be updated of the slave earphone to the slave earphone, which allows the slave earphone to be operated according to the configuration parameters to be updated of the slave earphone; and the master earphone being operated according to the configuration parameters to be updated of the master earphone. According to the embodiments of the present disclosure, the earphone debugging efficiency is improved.

An acoustic feedback control adaptive method, the input signal being a function of a captured signal and an estimation of an acoustic feedback, the method including the following steps: —determining an impulse response (RI) of a filter (A) according to a partition of time blocks (b.sub.0, . . . b.sub.i, . . . , b.sub.Nb), according to the following steps of: —for each sub-block (h.sub.1,i, h.sub.2,i, . . . h.sub.j,i, . . . h.sub.Ni,i) of each block of the impulse response (RI), calculating a frequency transform (F.sub.1,i, F.sub.2,i, . . . F.sub.j,i, . . . F.sub.Ni,i); —repeating the following steps of: —applying the filter (A) to the output signal (u) using the frequency transform (F.sub.1,i, F.sub.2,i, . . . F.sub.j,i, . . . F.sub.Ni,i) of each sub-block (h.sub.1,i, h.sub.2,i, . . . h.sub.j,i, . . . h.sub.Ni,i); —updating the frequency transform (F.sub.1,i, F.sub.2,i, . . . F.sub.j,i, . . . F.sub.Ni,i) of each sub-block (h.sub.1,i, h.sub.2,i, . . . h.sub.j,i, . . . h.sub.Ni,i) as a function of the output signal and the input signal based on the same partition as that used in the step of applying the filter (A).

Secondary path measurements and associated acoustic transducer-to-eardrum responses are obtained from test subjects. Both a least squares estimate and a reduced dimensionality estimate are determined that both estimate a relative transfer function between the secondary path measurements and the associated acoustic transducer-to-eardrum responses. An individual secondary path measurement for a user is performed based on a test signal transmitted via a hearing device into an ear canal of the user. An individual cutoff frequency for the individual secondary path measurement is determined. First and second acoustic transducer-to-eardrum responses below and above the cutoff frequency are determined using the individual secondary path measurement and the least squares estimate. A sound pressure level at an eardrum of the user can be predicted using the first and second receiver-to-eardrum responses.

Secondary path measurements and associated acoustic transducer-to-eardrum responses are obtained from test subjects. Both a least squares estimate and a reduced dimensionality estimate are determined that both estimate a relative transfer function between the secondary path measurements and the associated acoustic transducer-to-eardrum responses. An individual secondary path measurement for a user is performed based on a test signal transmitted via a hearing device into an ear canal of the user. An individual cutoff frequency for the individual secondary path measurement is determined. First and second acoustic transducer-to-eardrum responses below and above the cutoff frequency are determined using the individual secondary path measurement and the least squares estimate. A sound pressure level at an eardrum of the user can be predicted using the first and second receiver-to-eardrum responses.

A time at which a failure of a noise level meter has occurred is accurately determined. The present invention relates to a noise measuring device including a noise level meter having a main microphone capable of measuring noise, and a sub microphone capable of measuring noise at the same time as the main microphone. The present invention also relates to a failure diagnosing system having the noise measuring device and a failure diagnosing device capable of diagnosing a failure of the main microphone. The present invention also relates to a failure diagnosing method for diagnosing a failure of the main microphone. In the failure diagnosing system and the method, the presence or absence of a failure of the main microphone in the noise level meter is diagnosed based on the comparison between main and sub noise data obtained by the main and sub microphones and respectively in each of a plurality of recording periods.