Abstract: A sensor processing unit comprises a sensor processor. The sensor processor is configured to communicatively couple with a microphone. The sensor processor is configured to acquire, from the microphone, a sample captured by the microphone from an environment in which the microphone is disposed. The sensor processor is configured to perform music activity detection on the audio sample to detect for music within the audio sample. Responsive to detection of music within the audio sample, the sensor processor is configured to send a music detection signal to an external processor located external to the sensor processing unit, the music detection signal indicating that music has been detected in the environment.

Abstract: A sensor processing unit comprises a microphone and a sensor processor. The sensor processor is coupled with the microphone. The sensor processor is configured to operate the microphone to capture an audio sample from an environment in which the microphone is disposed. The sensor processor is configured to perform music activity detection on the audio sample to detect for music within the audio sample. Responsive to detection of music within the audio sample, the sensor processor is configured to send a music detection signal to an external processor located external to the sensor processing unit, the music detection signal indicating that music has been detected in the environment.

Abstract: A sensor processing unit comprises a microphone and a sensor processor. The sensor processor is coupled with the microphone. The sensor processor is configured to operate the microphone to capture an audio sample from an environment in which the microphone is disposed. The sensor processor is configured to perform music activity detection on the audio sample to detect for music within the audio sample. Responsive to detection of music within the audio sample, the sensor processor is configured to send a music detection signal to an external processor located external to the sensor processing unit, the music detection signal indicating that music has been detected in the environment.

Abstract: The present technology substantially reduces undesirable effects of multi-level noise suppression processing by applying an adaptive signal equalization. A noise suppression system may apply different levels of noise suppression based on the (user-perceived) signal-to-noise-ratio (SNR) or based on an estimated echo return loss (ERL). The resulting high-frequency data attenuation may be counteracted by adapting the signal equalization. The present technology may be applied in both transmit and receive paths of communication devices. Intelligibility may particularly be improved under varying noise conditions, e.g., when a mobile device user is moving in and out of noisy environments.

Abstract: A sensor processing unit comprises a microphone and a sensor processor. The sensor processor is coupled with the microphone. The sensor processor is configured to operate the microphone to capture an audio sample from an environment in which the microphone is disposed. The sensor processor is configured to perform music activity detection on the audio sample to detect for music within the audio sample. Responsive to detection of music within the audio sample, the sensor processor is configured to send a music detection signal to an external processor located external to the sensor processing unit, the music detection signal indicating that music has been detected in the environment.

Abstract: The present technology minimizes undesirable effects of multi-level noise suppression processing by applying an adaptive equalization. A noise suppression system may apply different levels of noise suppression based on the (user-perceived) signal-to-noise-ratio (SNR). The resulting high-frequency data attenuation may be counteracted by adapting the signal equalization. The present technology may be applied in both transmit and receive paths of communication devices. Intelligibility may particularly be improved under varying noise conditions, e.g. when a cell phone user is moving in and out of noisy environments.

Abstract: Systems and methods for providing karaoke recording and playback on mobile devices are provided. The mobile device may play music audio and associated video, and receive via one or more microphones a mix of a user voice, the music, and background noise. The mix is stored both in its original form and as processed to enhance voice and sound through noise suppression and other processing. Stored audio may be uploaded through a communications network to a cloud based computing environment for listening on other mobile devices. Selectable playing control and recording options may be provided. Audio cues may be determined during signal processing of the original acoustic sound and be stored on the mobile device. During playback of recorded audio and, optionally, associated video, the original acoustic sound, recorded cues, and user selectable optional processing may be used to remix during playback, while retaining the original recording.