Abstract: An audio signal processing method includes measuring a voice signal, wherein the measurement performed by an audio system including first through third sensors. Measuring the voice signal produces first through third audio signals by the first through third sensors, respectively. The audio signal processing method further includes: producing an output signal by using the first audio signal, the second audio signal and the third audio signal, wherein the output signal corresponds to: the first audio signal below a first crossing frequency, the second audio signal between the first crossing frequency and a second crossing frequency, the third audio signal above the second crossing frequency. The first crossing frequency is lower than or equal to the second crossing frequency, wherein the first crossing frequency and the second crossing frequency are different for at least some operating conditions of the audio system.

Abstract: Disclosed is an audio signal processing method implemented by an audio system including at least an internal sensor, an external sensor and a speaker unit. The audio signal processing method includes: producing internal and external audio signals by measuring simultaneously acoustic signals reaching the internal sensor and acoustic signals reaching the external sensor, respectively; converting the internal audio signal to frequency domain, thereby producing an internal audio spectrum; converting the external audio signal to frequency domain, thereby producing an external audio spectrum; estimating, based on the internal audio spectrum, an echo audio spectrum of an echo audio signal caused by the speaker unit in the external audio signal, wherein the echo audio spectrum is estimated for frequencies above a minimum frequency, wherein the minimum frequency ?600 hertz; and correcting the external audio spectrum for frequencies above the minimum frequency, based on the echo audio spectrum.

Abstract: The present disclosure relates to an audio signal processing method implemented by an audio system which includes at least an internal sensor, wherein the audio signal processing method includes: measuring, by the internal sensor, a voice signal emitted by the user which propagates via bone-conduction to the internal sensor, thereby producing a bone-conducted audio signal; processing the bone-conducted audio signal by a machine learning model, wherein the machine learning model is previously trained to produce a predicted air-conducted audio signal which corresponds to a prediction of an audio signal that would be produced by measuring the same voice signal propagating via air-conduction to a microphone, by increasing a spectral bandwidth of the bone-conducted audio signal and/or by reshaping a spectrum of the bone-conducted audio signal; and producing an internal signal for the internal sensor based on the predicted air-conducted audio signal.

Abstract: An audio signal processing method includes measuring a voice signal, wherein the measurement performed by an audio system including first through third sensors. Measuring the voice signal produces first through third audio signals by the first through third sensors, respectively. The audio signal processing method further includes: producing an output signal by using the first audio signal, the second audio signal and the third audio signal, wherein the output signal corresponds to: the first audio signal below a first crossing frequency, the second audio signal between the first crossing frequency and a second crossing frequency, the third audio signal above the second crossing frequency. The first crossing frequency is lower than or equal to the second crossing frequency, wherein the first crossing frequency and the second crossing frequency are different for at least some operating conditions of the audio system.