Abstract: A wake word detector, at a server of a content delivery network (CDN) that provides audio (or other) content to a device, such as a voice-enabled device, detects false wake words in the audio content. The CDN wake word detector analyzes the audio stream to determine if the audio stream contains any audio that sounds like the wake word. If so, the CDN wake word detector can generate metadata that describes the time period, within the audio content, in which the false wake word was encountered. The metadata can include time offsets, from the start of the audio content, which can instruct a voice-enabled device to deactivate during the time period. This metadata is stored and then sent to the media-playback device requests the media content. The media-playback device can then instruct or inform the voice-enabled device of the presence of the false wake word. In this way, the wake word detector, at the voice-enabled device, is not activated to receive the false wake word.

Abstract: A second wake word detector, at a media-playback device, that plays audio (or other) content to a device, such as a voice-enabled device, detects false wake words in the audio content. The second wake word detector analyzes the audio stream to determine if the audio stream contains any audio that sounds like the wake word. If so, the second wake word detector can generate one of a plurality of instructions that describes the time period, within the audio content, in which the false wake word was encountered. The instruction can cause a first wake word detector to assume one of a plurality of configurations. The media-playback device can then instruct or inform the voice-enabled device of the presence of the false wake word. In this way, the wake word detector, at the voice-enabled device, is not activated to receive the false wake word or ignores the wake word.

Abstract: The present disclosure relates generally to speech processing. Humans change their speech patterns in noisy environments. The systems and devices described herein can compensate for noisy environments to be more human-like. Thus, the configurations and implementations herein can determine a sound profile for the sound environment where the user is listening. Based on the sound profile, the devices can determine a transform to apply to output speech from the device. This transform is applied to the wake word, speech recognition, and to the output speech to compensate for the noise level of the environment by mimicking the Lombard effect.

Abstract: 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.

Abstract: A first device receives a voice command from a first user of a second device. The first device determines, from content in the voice command, one or more characteristics of a target device and media content to be played on the target device. The first device identifies, using the characteristics of the target device, a third device. In response to identifying the third device: the first device modifies account information for the third device to associate the third device with the first user and transmits instructions to the third device to play the media content.

Abstract: 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.

Abstract: A first device receives a voice command from a first user of a second device. The first device determines, from content in the voice command, one or more characteristics of a target device and media content to be played on the target device. The first device identifies, using the characteristics of the target device, a third device. In response to identifying the third device: the first device modifies account information for the third device to associate the third device with the first user and transmits instructions to the third device to play the media content.