A disclosed method includes monitoring an audio signal energy level while having a noise suppressor deactivated to conserve battery power, buffering the audio signal in response to a detected increase in the audio energy level, activating and running a voice activity detector on the audio signal in response to the detected increase in the audio energy level and activating and running a noise estimator in response to voice being detected in the audio signal by the voice activity detector. The method may further include activating and running the noise suppressor only if the noise estimator determines that noise suppression is required. The method activates and runs a noise type classifier to determine the noise type based on information received from the noise estimator and selects a noise suppressor algorithm, from a group of available noise suppressor algorithms, where the selected noise suppressor algorithm is the most power consumption efficient.

A first electronic device is provided. While a media content item provided by a media-providing service is emitted by a second electronic device that is remote from the first electronic device, the first electronic device receives, from the media-providing service, data that includes an audio stream that corresponds to the media content item. The first electronic device detects ambient sound that includes sound corresponding to the media content item emitted by the second electronic device. The first electronic device generates a cleaned version of the ambient sound, which includes: using the data received from the media-providing service to align the audio stream with the ambient sound; and performing a subtraction operation to subtract the audio stream from the ambient sound. The first electronic device detects a voice command in the cleaned version of the ambient sound.

A system that determines that devices are co-located in an acoustic region and selects a single device to which to send incoming notifications for the acoustic region. The system may group devices into separate acoustic regions based on selection data that selects between similar audio data received from multiple devices. The system may select the best device for each acoustic region based on a frequency that the device was selected previously, input/output capabilities of the device, a proximity to a user, or the like. The system may send a notification to a single device in each of the acoustic regions so that a user receives a single notification instead of multiple unsynchronized notifications. The system may also determine that acoustic regions are associated with different locations and select acoustic regions to which to send a notification based on location.

Systems and methods for suppressing noise and detecting voice input in a multi-channel audio signal captured by a plurality of microphones include (i) capturing a first audio signal via a first microphone and a second audio signal via a second microphone, wherein the first and second audio signals respectively comprises first and second noise content from a noise source; (ii) identifying the first noise content in the first audio signal; (iii) using the identified first noise content to determine an estimated noise content captured by the plurality of microphones; (iv) using the estimated noise content to suppress the first and second noise content in the first and second audio signals; (v) combining the suppressed first and second audio signals into a third audio signal; and (vi) determining that the third audio signal includes a voice input comprising a wake word.

Disclosed are a method and apparatus for improving a signal-to-noise ratio of a microphone signal. The method includes: selecting a target microphone to be improved as a first microphone, and selecting a microphone whose signal-to-noise ratio is greater than a signal-to-noise ratio of the first microphone and exceeds a preset first threshold as a second microphone; and adding, by an adder, a voice signal of the first microphone and a voice signal of the second microphone in a case that a same voice signal is inputted, to obtain a first microphone signal whose signal-to-noise ratio has been improved.

A method for suppressing a noise portion(s) from a media event by an electronic device is provided. The method includes receiving a voice signal comprising the noise portion(s) and a voice(s) during the media event. Further, the method includes determining a weightage(s) for the noise portion(s) throughout the media event. Further, the method includes determining a plurality of parameters associated with the electronic device, where the plurality of parameters comprises at least one of a preference(s) of a user of the electronic device or a current context of the electronic device. Further, the method includes suppressing the noise portion(s) in the voice signal based on the weightage(s) and the plurality of parameters associated with the electronic device. Further, the method includes generating a media file, where the media file includes the voice(s) and non-suppressed noise portion(s).

Embodiments of the invention determine a speech estimate using a bone conduction sensor or accelerometer, without employing voice activity detection gating of speech estimation. Speech estimation is based either exclusively on the bone conduction signal, or is performed in combination with a microphone signal. The speech estimate is then used to condition an output signal of the microphone. There are multiple use cases for speech processing in audio devices.

An apparatus for processing an audio signal includes an audio signal analyzer and a filter. The audio signal analyzer is configured to analyze an audio signal to determine a plurality of noise suppression filter values for a plurality of bands of the audio signal, wherein the analyzer is configured to determine a noise suppression filter value so that a noise suppression filter value is greater than or equal to a minimum noise suppression filter value and so that the minimum noise suppression value depends on a characteristic of the audio signal. The filter is configured for filtering the audio signal, wherein the filter is adjusted based on the noise suppression filter values.

A method at an electronic device with one or more microphones and a speaker, the electronic device configured to be responsive to any of a plurality of affordances including a voice-based affordance, includes determining background noise of an environment associated with the electronic device, and before detecting the voice-based affordance: determining whether the background noise would interfere with recognition of the hotword in voice inputs detected by the electronic device, and if so, indicating to a user to use an affordance other than the voice-based affordance.

While a media content item is emitted by a second electronic device that is remote from the first electronic device, the first electronic device receives data that includes: timing information, offset information that indicates a difference between an initial position of the media content item and a current playback position of the media content item, and an audio stream that corresponds to the media content item. The first electronic device detects ambient sound that includes sound corresponding to the media content item emitted by the second electronic device. The first electronic device generates a cleaned version of the ambient sound by using the timing information and the offset information to align the audio stream with the ambient sound and performing a subtraction operation to substantially subtract the audio stream from the ambient sound.