Abstract: Techniques, including devices and systems implementing the techniques, for using enhanced noise suppression to provide optimal denoised output. One example system generally includes a device of a user, a first sensor coupled to the device, a second sensor coupled to the device, and one or more processors coupled to the device. The one or more processors are generally, individually or collectively, configured to receive, at the first sensor, a first audio signal with a first degradation, receive, at the second sensor, a second audio signal with a second degradation, where the first degradation is different than the second degradation, and determine an output audio signal using the first audio signal and the second audio signal.

Abstract: Techniques, including wearable audio devices and systems implementing the techniques, for synthesizing bone conduction speech. Such techniques may include (i) inputting a first acoustic signal into a first machine-learning model, (ii) generating, with the first machine-learning model, a first bone conduction signal in a time domain or a spectral domain based, at least in part, on the first acoustic signal, (iii) generating, with the first machine-learning model, a transfer function that characterizes a relationship between the first acoustic signal and the first bone conduction signal based, at least in part, on the first acoustic signal, and (iv) training, using at least one of the first bone conduction signal or the transfer function, a second machine-learning model on a first device.

Abstract: Techniques, including devices and systems implementing the techniques, for using enhanced noise suppression to provide optimal denoised output. One example system generally includes a device of a user, a first sensor coupled to the device, a second sensor coupled to the device, and one or more processors coupled to the device. The one or more processors are generally, individually or collectively, configured to receive, at the first sensor, a first audio signal with a first degradation, receive, at the second sensor, a second audio signal with a second degradation, where the first degradation is different than the second degradation, and determine an output audio signal using the first audio signal and the second audio signal.