Examples of system for ambient aversive sound detection, identification and management are described. The system comprises an earpiece device with a microphone configured to capture ambient sound around a user and sample it into small segments of the ambient sound, a speaker and a regulator to regulate the ambient sound segment transmitted to the speaker. The system further comprises a processing unit that identifies aversive ambient sound signals in the captured sound segment and provide recommendation action to manage the aversive sound signal by removing, supressing, attenuating or masking the aversive signals.

Systems, methods, and devices relating to audio correction are described. A first portion of content including first spoken audio content indicating first word(s) may be determined. Background audio content of the first portion of the content may be determined. A voice profile may be determined based on the first spoken audio content. Based on the voice profile, second spoken audio content indicating second word(s) to replace the first word(s) may be generated. Based on mixing the background audio content and the second spoken audio content, a second portion of content may be determined. In the content, the first portion of the content may be replaced with the generated second portion of content.

Systems, methods, and devices relating to audio correction are described. A first portion of content including first spoken audio content indicating first word(s) may be determined. Background audio content of the first portion of the content may be determined. A voice profile may be determined based on the first spoken audio content. Based on the voice profile, second spoken audio content indicating second word(s) to replace the first word(s) may be generated. Based on mixing the background audio content and the second spoken audio content, a second portion of content may be determined. In the content, the first portion of the content may be replaced with the generated second portion of content.

Provided are a directional acoustic sensor that detects a direction of sound, a method of detecting a direction of sound, and an electronic device including the directional acoustic sensor. The directional acoustic sensor includes a sound inlet through which a sound is received, a sound outlet through which the sound received through the sound inlet is output, and a plurality of vibration bodies arranged between the sound inlet and the sound outlet, in which one or more of the plurality of vibration bodies selectively react to the sound received by the sound inlet according to a direction of the received sound.

Provided are a directional acoustic sensor that detects a direction of sound, a method of detecting a direction of sound, and an electronic device including the directional acoustic sensor. The directional acoustic sensor includes a sound inlet through which a sound is received, a sound outlet through which the sound received through the sound inlet is output, and a plurality of vibration bodies arranged between the sound inlet and the sound outlet, in which one or more of the plurality of vibration bodies selectively react to the sound received by the sound inlet according to a direction of the received sound.

A method for rejecting inherent noise of a microphone arrangement that includes a first microphone and a second microphone. The first microphone generates a first microphone signal from an ambient sound signal and the second microphone generates a second microphone signal from the ambient sound signal. A measure of correlation between the first microphone signal and the second microphone signal is ascertained, and inherent noise of the first microphone and/or of the second microphone in the first or second microphone signal is rejected on the basis of the measure of correlation.

A method for rejecting inherent noise of a microphone arrangement that includes a first microphone and a second microphone. The first microphone generates a first microphone signal from an ambient sound signal and the second microphone generates a second microphone signal from the ambient sound signal. A measure of correlation between the first microphone signal and the second microphone signal is ascertained, and inherent noise of the first microphone and/or of the second microphone in the first or second microphone signal is rejected on the basis of the measure of correlation.

A system for dynamically controlling an echo canceler includes a processor programmed to receive audio data from an audio sensor, to determine a present type of noise in the received audio data, based on the present type of noise, to determine a number of taps to be removed from an echo canceler, and to execute the echo canceler with a reduced number of taps based on the number of taps to be removed.

Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors, memory, and a plurality of microphones, sampling, at each of the plurality of microphones of the electronic device, an audio signal to obtain a plurality of audio signals; processing the plurality of audio signals to obtain a plurality of audio streams; and determining, based on the plurality of audio streams, whether any of the plurality of audio signals corresponds to a spoken trigger. The method further includes, in accordance with a determination that the plurality of audio signals corresponds to the spoken trigger, initiating a session of the digital assistant; and in accordance with a determination that the plurality of audio signals does not correspond to the spoken trigger, foregoing initiating a session of the digital assistant.

Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors, memory, and a plurality of microphones, sampling, at each of the plurality of microphones of the electronic device, an audio signal to obtain a plurality of audio signals; processing the plurality of audio signals to obtain a plurality of audio streams; and determining, based on the plurality of audio streams, whether any of the plurality of audio signals corresponds to a spoken trigger. The method further includes, in accordance with a determination that the plurality of audio signals corresponds to the spoken trigger, initiating a session of the digital assistant; and in accordance with a determination that the plurality of audio signals does not correspond to the spoken trigger, foregoing initiating a session of the digital assistant.