Abstract: A system is provided for streaming media content in a vehicle. The system includes a personal media streaming appliance system configured to connect to a media delivery system and receive media content from the media delivery system at least via a cellular network. The personal media streaming appliance system operates to transmit a media signal representative to the received media content to a vehicle media playback system so that the vehicle media playback system operates to play the media content in the vehicle. Various types of rotations of a knob part of the personal media streaming applicant system result in different media playback actions.

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: Systems and methods are provided for detecting wake words. An electronic device detects an audio signal; identifies two spatial zones as first and second sources of audio associated with the audio signal; processes the audio signal at two wake word detection engines, where each detection engine is associated with a respective spatial zone; determines, based on the processing at the wake word detection engines, whether the audio signal represents a wake word for the electronic device; and in accordance with a determination that the audio signal does represent a wake word, adjusts a wake word detection threshold for at least one of the wake word detection engines.

Abstract: An electronic device associated with a media-providing service receives a first set of audio streams corresponding to a plurality of microphones. The electronic device generates a second set of audio streams from the first set of audio streams. The second set of audio streams corresponds to a plurality of independent voices and in some cases, ambient noise. The electronic device detects a beginning of a voice command to play media content from the media-providing service in a first audio stream. The electronic device also detects an end of the voice command in the first audio stream. The end of the voice command overlaps with speech in a second audio stream in the second set of audio streams. In response to detecting the voice command, the electronic device plays the media content from the media-providing service.

Abstract: Methods, systems, and related products that provide emotion-sensitive responses to user's commands and other utterances received at an utterance-based user interface. Acknowledgements of user's utterances are adapted to the user and/or the user device, and emotions detected in the user's utterance that have been mapped from one or more emotion features extracted from the utterance. In some examples, extraction of a user's changing emotion during a sequence of interactions is used to generate a response to a user's uttered command. In some examples, emotion processing and command processing of natural utterances are performed asynchronously.

Abstract: A system and method for confirming a voice command of a media playback device is disclosed. The method includes receiving an instruction of a voice command and producing an audio confirmation of the command. A confirmation may be playing a media context item associated with the command, playing a verbal confirmation phrase, or playing a non-verbal audio cue.

Abstract: Systems, methods, and devices for training and testing utterance based frameworks are disclosed. The training and testing can be conducting using synthetic utterance samples in addition to natural utterance samples. The synthetic utterance samples can be generated based on a vector space representation of natural utterances. In one method, a synthetic weight vector associated with a vector space is generated. An average representation of the vector space is added to the synthetic weight vector to form a synthetic feature vector. The synthetic feature vector is used to generate a synthetic voice sample. The synthetic voice sample is provided to the utterance-based framework as at least one of a testing or training sample.

Abstract: A system is provided for streaming media content in a vehicle. The system includes a personal media streaming appliance system configured to connect to a media delivery system and receive media content from the media delivery system at least via a cellular network. The personal media streaming appliance system includes one or more preset buttons for playing media content associated with the preset buttons. The media contents associated with the preset buttons are automatically determined to be personalized to the user of the system.

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: A system is provided for streaming media content in a vehicle. The system includes a personal media streaming appliance system configured to connect to a media delivery system and receive media content from the media delivery system at least via a cellular network. The personal media streaming appliance system operates to transmit a media signal representative to the received media content to a vehicle media playback system so that the vehicle media playback system operates to play the media content in the vehicle. Customized voice communications are generated based on receiving input, such as a user query and/or a media track change indication.

Abstract: A system and method for voice control of a media playback device is disclosed. The method includes receiving an instruction of a voice command, converting the voice command to text, transmitting the text command to the playback device, and having the playback device execute the command. An instruction may include a command to play a set of audio tracks, and the media playback device plays the set of audio tracks upon receiving the instruction.

Abstract: An audio cancellation system includes a voice enabled computing system that is connected to an audio output device using a wired or wireless communication network. The voice enabled computing device can provide media content to a user and receive a voice command from the user. The connection between the voice enabled computing system and the audio output device introduces a time delay between the media content being generated at the voice enabled computing device and the media content being reproduced at the audio output device. The system operates to determine a calibration value adapted for the voice enabled computing system and the audio output device. The system uses the calibration value to filter the user's voice command from a recording of ambient sound including the media content, without requiring significant use of memory and computing resources.

Abstract: Systems, methods, and devices for training and testing utterance based frameworks are disclosed. The training and testing can be conducting using synthetic utterance samples in addition to natural utterance samples. The synthetic utterance samples can be generated based on a vector space representation of natural utterances. In one method, a synthetic weight vector associated with a vector space is generated. An average representation of the vector space is added to the synthetic weight vector to form a synthetic feature vector. The synthetic feature vector is used to generate a synthetic voice sample. The synthetic voice sample is provided to the utterance-based framework as at least one of a testing or training sample.

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 system and method for confirming a voice command of a media playback device is disclosed. The method includes receiving an instruction of a voice command and producing an audio confirmation of the command. A confirmation may be playing a media context item associated with the command, playing a verbal confirmation phrase, or playing a non-verbal audio cue.

Abstract: A system is provided for streaming media content in a vehicle. The system includes a personal media streaming appliance system configured to connect to a media delivery system and receive media content from the media delivery system at least via a cellular network. The personal media streaming appliance system operates to transmit a media signal representative to the received media content to a vehicle media playback system so that the vehicle media playback system operates to play the media content in the vehicle. Customized voice communications are generated based on receiving input, such as a user query and/or a media track change indication.

Abstract: Methods, systems, and related products for voice-enabled computer systems are described. A machine-learning model is trained to produce pronunciation output based on text input. The trained machine-learning model is used to produce pronunciation data for text input even where the text input includes numbers, punctuation, emoji, or other non-letter characters. The machine-learning model is further trained based on real-world data from users to improve pronunciation output.

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: A system and method for voice control of a media playback device is disclosed. The method includes receiving an instruction of a voice command, converting the voice command to text, transmitting the text command to the playback device, and having the playback device execute the command. An instruction may include a command to play a set of audio tracks, and the media playback device plays the set of audio tracks upon receiving the instruction.

Abstract: Methods, systems, and related products that provide emotion-sensitive responses to user's commands and other utterances received at an utterance-based user interface. Acknowledgements of user's utterances are adapted to the user and/or the user device, and emotions detected in the user's utterance that have been mapped from one or more emotion features extracted from the utterance. In some examples, extraction of a user's changing emotion during a sequence of interactions is used to generate a response to a user's uttered command. In some examples, emotion processing and command processing of natural utterances are performed asynchronously.