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 implemented by an audio system with an audio sensor and a speaker unit includes: measuring, by the audio sensor, acoustic signals reaching the audio sensor, producing a sensor audio signal; retrieving a speaker audio signal corresponding to a speaker acoustic signal from the speaker unit while measuring the acoustic signals reaching the audio sensor to produce the sensor audio signal; converting the speaker and sensor audio signals to speaker and sensor audio spectra; estimating, based on the speaker audio spectrum, an echo audio spectrum of an echo audio signal caused by the speaker acoustic signal in the sensor audio signal; computing, based on the echo audio spectrum and the sensor audio spectrum, echo suppression gains to be applied to the sensor audio spectrum, by using a MMSE-LSA estimator; and applying the echo suppression gains to the sensor audio spectrum.

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 with internal and external sensors. The internal sensor measures acoustic signals propogating internally to a user's head. The external sensor measures acoustic signals propagating externally to the user's head. The method includes: producing first and second audio signals by measuring simultaneously acoustic signals reaching the internal and external sensors, respectively; filtering the second audio signal by a noise matching filter matching a second noise signal affecting the second audio signal with a first noise signal affecting the first audio signal, wherein the first noise signal and the second noise signal correspond to a same noise acoustic signal originating outside the user's head and measured by respectively the internal and external sensors, thereby producing a filtered second audio signal including a matched second noise signal; and mixing the filtered second audio signal and the first audio signal.

Abstract: An audio signal processing method implemented by an audio system with an audio sensor and a speaker unit includes: measuring, by the audio sensor, acoustic signals reaching the audio sensor, producing a sensor audio signal; retrieving a speaker audio signal corresponding to a speaker acoustic signal from the speaker unit while measuring the acoustic signals reaching the audio sensor to produce the sensor audio signal; converting the speaker and sensor audio signals to speaker and sensor audio spectra; estimating, based on the speaker audio spectrum, an echo audio spectrum of an echo audio signal caused by the speaker acoustic signal in the sensor audio signal; computing, based on the echo audio spectrum and the sensor audio spectrum, echo suppression gains to be applied to the sensor audio spectrum, by using a MMSE-LSA estimator; and applying the echo suppression gains to the sensor 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: The present disclosure relates to an audio signal processing method implemented by an audio system which includes at least an internal sensor, wherein the internal sensor is located in an ear canal of a user of the audio system and arranged to measure acoustic signals which propagate internally to a head of the user. The audio signal processing method includes: producing an internal audio signal by the internal sensor; determining an audio spectrum of the internal audio signal; determining a spectral center of the audio spectrum; determining a spectrum shape correction filter based on the spectral center; and filtering the internal audio signal by using the spectrum shape correction filter, thereby producing a filtered internal audio signal.

Abstract: Disclosed is an audio signal processing method implemented by an audio system with internal and external sensors. The internal sensor measures acoustic signals propogating internally to a user's head. The external sensor measures acoustic signals propagating externally to the user's head. The method includes: producing first and second audio signals by measuring simultaneously acoustic signals reaching the internal and external sensors, respectively; filtering the second audio signal by a noise matching filter matching a second noise signal affecting the second audio signal with a first noise signal affecting the first audio signal, wherein the first noise signal and the second noise signal correspond to a same noise acoustic signal originating outside the user's head and measured by respectively the internal and external sensors, thereby producing a filtered second audio signal including a matched second noise signal; and mixing the filtered second audio signal and the first 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.

Abstract: Disclosed is an audio signal processing method, including measuring a voice signal by internal and external sensors. The internal sensor measures voice signals that propagate internally to the user's head. The external sensor measures voice signals that propagate externally to the user's head. The internal and external sensors produces first and second audio signals, respectively. The method further includes: processing the first audio signal to produce a first audio spectrum on a frequency band; processing the second audio signal to produce a second audio spectrum on the frequency band; computing a first cumulated audio spectrum by cumulating first audio spectrum values; computing a second cumulated audio spectrum by cumulating second audio spectrum values; determining a cutoff frequency by comparing the first and second cumulated audio spectra; and producing an output signal by combining the first audio signal and the second audio signal based on the cutoff frequency.