Abstract: Systems and methods for three-dimensional beamforming disclosed herein include, among other features (i) generating a set of received-sound beams by applying a plurality of sets of beamforming coefficients stored in a tangible memory of the network device to sound received via a microphone array of the network device, wherein each received-sound beam corresponds to a separate direction relative to the microphone array, (ii) identifying a subset of the received-sound beams comprising speech content, (iii) for each received-sound beam in the subset of the received-sound beams comprising speech content, determining whether the speech content comprises a wake word, (iv) selecting one final received-sound beam from the received-sound beams in the subset of the received-sound beams determined to comprise a wake word; and (v) causing the selected one final received-sound beam to be processed to identify a voice command.

Abstract: Systems and methods for three-dimensional beamforming disclosed herein include, among other features (i) generating a set of received-sound beams by applying a plurality of sets of beamforming coefficients stored in a tangible memory of the network device to sound received via a microphone array of the network device, wherein each received-sound beam corresponds to a separate direction relative to the microphone array, (ii) identifying a subset of the received-sound beams comprising speech content, (iii) for each received-sound beam in the subset of the received-sound beams comprising speech content, determining whether the speech content comprises a wake word, (iv) selecting one final received-sound beam from the received-sound beams in the subset of the received-sound beams determined to comprise a wake word; and (v) causing the selected one final received-sound beam to be processed to identify a voice command.

Abstract: Systems and methods for three-dimensional beamforming disclosed herein include, among other features (i) generating a set of received-sound beams by applying a plurality of sets of beamforming coefficients stored in a tangible memory of the network device to sound received via a microphone array of the network device, wherein each received-sound beam corresponds to a separate direction relative to the microphone array, (ii) identifying a subset of the received-sound beams comprising speech content, (iii) for each received-sound beam in the subset of the received-sound beams comprising speech content, determining whether the speech content comprises a wake word, (iv) selecting one final received-sound beam from the received-sound beams in the subset of the received-sound beams determined to comprise a wake word; and (v) causing the selected one final received-sound beam to be processed to identify a voice command.

Abstract: Systems and methods for three-dimensional beamforming disclosed herein include, among other features (i) generating a set of received-sound beams by applying a plurality of sets of beamforming coefficients stored in a tangible memory of the network device to sound received via a microphone array of the network device, wherein each received-sound beam corresponds to a separate direction relative to the microphone array, (ii) identifying a subset of the received-sound beams comprising speech content, (iii) for each received-sound beam in the subset of the received-sound beams comprising speech content, determining whether the speech content comprises a wake word, (iv) selecting one final received-sound beam from the received-sound beams in the subset of the received-sound beams determined to comprise a wake word; and (v) causing the selected one final received-sound beam to be processed to identify a voice command.

Abstract: An example method may involve a device determining a first loudness representation for a playback device based on a first equalization setting applied to a representation of average music. The device may also determine a second loudness representation for the playback device, based on a second equalization setting applied to the representation of average music. The device may also determine a loudness adjustment factor based on the first and second loudness representations, and then causing the playback device to play back media based on the second equalization setting and the determined loudness adjustment factor.

Abstract: An example method may involve a device determining a first loudness representation for a playback device based on a first equalization setting applied to a representation of average music. The device may also determine a second loudness representation for the playback device, based on a second equalization setting applied to the representation of average music. The device may also determine a loudness adjustment factor based on the first and second loudness representations, and then causing the playback device to play back media based on the second equalization setting and the determined loudness adjustment factor.

Abstract: An example method may involve a device determining a first loudness representation for a playback device based on a first equalization setting applied to a representation of average music. The device may also determine a second loudness representation for the playback device, based on a second equalization setting applied to the representation of average music. The device may also determine a loudness adjustment factor based on the first and second loudness representations, and then causing the playback device to play back media based on the second equalization setting and the determined loudness adjustment factor.

Abstract: An example method may involve a device determining a first loudness representation for a playback device based on a first equalization setting applied to a representation of average music. The device may also determine a second loudness representation for the playback device, based on a second equalization setting applied to the representation of average music. The device may also determine a loudness adjustment factor based on the first and second loudness representations, and then causing the playback device to play back media based on the second equalization setting and the determined loudness adjustment factor.

Abstract: An example method may involve a device determining a first loudness representation for a playback device based on a first equalization setting applied to a representation of average music. The device may also determine a second loudness representation for the playback device, based on a second equalization setting applied to the representation of average music. The device may also determine a loudness adjustment factor based on the first and second loudness representations, and then causing the playback device to play back media based on the second equalization setting and the determined loudness adjustment factor.