Abstract: Aspects of the subject technology provide for automatic adaptive noise cancellation, which may be provided with a substantially flat frequency response. In one or more implementations, a noise cancellation signal is combined with a pass-through audio signal with a ratio that is controlled based on a mixing curve. The mixing curve may be one of multiple mixing curves that are defined for multiple respective operational states of an electronic device.

Abstract: A method that includes receiving audio content; receiving a volume level at which the audio content is to be played back through a speaker of the headset that is worn by a user; determining a noise level of environmental noise at the headset; determining a noise exposure level by the user based on the volume level, a content level of the audio content, and the noise level; determining whether a content level of the audio content is less than a threshold that is based on the noise exposure level; and responsive to determining that the content level is less than the threshold, adjusting the content level by applying a gain to the audio content such that the gain-adjusted content level of the audio content is at least equal to the noise exposure level.

Abstract: Implementations of the subject technology provide systems and methods for providing distributed audio processing for audio devices. Distributed audio processing may include encoding signals from multiple microphones and/or sensors, such as at a headphone or an earbud, and decoding and processing the signals on host, source, or companion device. Distributed audio processing may also include deactivating one or more digital signal processors and/or neural networks based on an operational mode of an audio device or based on a processing capability of a companion device.

Abstract: Systems, devices, and methods for motion-based output of audio content are provided. The motion-based output of audio content may include synchronizing a tempo and a phase of audio content being output with a cadence and a phase of a cyclic movement of a user of an electronic device. The motion-based output can be performed by a system-level process such that synchronizations to motion cadence and phase can be provided for local audio content and/or audio content from any of various content streaming sources. The motion-based output can also account for algorithmic and/or transmission latencies, to output beats of the audio content in sync with user footfalls, including in implementations in which wireless headphones or earbuds are used. Tempo and phase matching can also be provided across a delay or interval in which there is no output of audio content, such as during the gap between adjacent songs in a playlist.

Abstract: Microphone signals of a primary headphone are processed and either a first transparency mode of operation is activated or a second transparency mode of operation. In another aspect, a processor enters different configurations in response to estimated ambient acoustic noise being lower or higher than a threshold, wherein in a first configuration a transparency audio signal is adapted via target voice and wearer voice processing (TVWVP) of a microphone signal to boost detected speech frequencies in the transparency audio signal, and in a second configuration the TVWVP is controlled to, as the estimated ambient acoustic noise increases, reduce boosting of, or not boost at all, the detected speech frequencies in the transparency audio signal. Other aspects are also described and claimed.

Abstract: A method performed by a first headset worn by a first user, the method includes the first headset performing noise cancellation on a microphone signal captured by a microphone of the first headset that is arranged to capture sounds within an ambient environment in which the first user is located. The first headset receives, from a second headset that is being worn by a second user who is in the ambient environment and over a wireless communication link, at least one sound characteristic generated by at least one sensor of the second headset and passing through select sounds from the microphone signal based on the received sound characteristic.

Abstract: A method performed by an audio source device. The method obtains an input audio signal and determines a sound output level of a headset based on the input audio signal, a user volume setting, and a sound output sensitivity of the headset. The method determines whether the sound output level is above a threshold. In response to determining that the sound output level is above the threshold, a scalar gain is applied upon the input audio signal to produce an output audio signal for output by the headset.

Abstract: A computer system outputs audio content via one or more audio output devices. If the audio content includes information that enables spatialization of the audio content, the system outputs the audio content in a simulated three-dimensional environment, including, if the audio content corresponds to a first category of content, causing the one or more audio output devices to simulate production of the audio content in a first virtual space, and if the audio content corresponds to a second category of content, causing the one or more audio output devices to simulate production of the audio content in a second virtual space that has different simulated acoustic properties than simulated acoustic properties of the first virtual space.

Abstract: A method performed by a near-end headphone device, while the device is engaged in a voice communication session with a far-end device. The method receives a downlink audio signal from the far-end device and drives a speaker with the downlink audio signal. The method receives an accelerometer signal from an accelerometer of the near-end device and performs echo cancellation and residual echo suppression. The method generates a combined SNR-RES signal based on a SNR of the echo cancelled the accelerometer signal and the residual echo suppression signal. The method determines whether the combined SNR-RES signal is below a threshold. In response to being below the threshold, the method gates the echo cancelled accelerometer signal, generates an uplink audio signal by blending the gated signal with a microphone signal and transmits the uplink audio signal to the far-end device.

Abstract: An audio system has an ambient sound enhancement function, in which an against-the-ear audio device having a speaker converts a digitally processed version of an input audio signal into sound. The audio system also has an acoustic noise cancellation (ANC) function that may be combined in various ways with the sound enhancement function, and that may be responsive to voice activity detection. Other aspects are also described and claimed.

Abstract: A method performed by an audio source device. The method obtains an input audio signal and determines a sound output level of a headset based on the input audio signal, a user volume setting, and a sound output sensitivity of the headset. The method determines whether the sound output level is above a threshold. In response to determining that the sound output level is above the threshold, a scalar gain is applied upon the input audio signal to produce an output audio signal for output by the headset.

Abstract: An audio system has an ambient sound enhancement function, in which an against-the-ear audio device having a speaker converts a digitally processed version of an input audio signal into sound. The input audio signal may be amplified where the amplification may be in accordance with a stored hearing profile of the user (personalized ambient sound enhancement.) The audio system also has an acoustic noise cancellation (ANC) function that may be combined in various ways with the sound enhancement function, and that may be responsive to voice activity detection. Other aspects are also described and claimed.

Abstract: An audio system has an ambient sound enhancement function, in which an against-the-ear audio device having a speaker converts a digitally processed version of an input audio signal into sound. The input audio signal may be amplified where the amplification may be in accordance with a stored hearing profile of the user (personalized ambient sound enhancement.) The audio system also has an acoustic noise cancellation (ANC) function that may be combined in various ways with the sound enhancement function, and that may be responsive to voice activity detection. Other aspects are also described and claimed.

Abstract: An audio system has an ambient sound enhancement function, in which an against-the-ear audio device having a speaker converts a digitally processed version of an input audio signal into sound. The audio system also has an acoustic noise cancellation (ANC) function that may be combined in various ways with the sound enhancement function, and that may be responsive to voice activity detection. Other aspects are also described and claimed.

Abstract: A system and method are provided for use in an electronic device configured to process data to perform a method of generating a fixed point approximation of a number x by first locating the most significant bit of a given number, then retrieving predetermined values from electronic data storage, where the first value is based on a first index value generated from the most significant bit and contains fixed-point representation located in a table in storage. Then, output values are generated from look-up tables that correspond to index values generated from a number of bits that immediately following the most significant bit. Finally, the final mathematic result is computed using fixed-point arithmetic logic to generate a fixed point approximation.

Abstract: A system and method are provided for use in an electronic device configured to process data to perform a method of generating a fixed point approximation of a number x by first locating the most significant bit of a given number, then retrieving predetermined values from electronic data storage, where the first value is based on a first index value generated from the most significant bit and contains fixed-point representation located in a table in storage. Then, output values are generated from look-up tables that correspond to index values generated from a number of bits that immediately following the most significant bit. Finally, the final mathematic result is computed using fixed-point arithmetic logic to generate a fixed point approximation.

Abstract: An audio signal analyzer and encoder is based on a model that considers audio signals to be composed of deterministic or sinusoidal components, transient components representing the onset of notes or other events in an audio signal, and stochastic components. Deterministic components are represented as a series of overlapping sinusoidal waveforms. To generate the deterministic components, the input signal is divided into a set of frequency bands by a multi-complementary filter bank. The frequency band signals are oversampled so as to suppress cross-band aliasing energy in each band. Each frequency band is analyzed and encoded as a set of spectral components using a windowing time frame whose length is inversely proportional to the frequency range in that band. Low frequency bands are encoded using longer time frames than higher frequency bands.