Abstract: A system for supporting a user’s repetitive motion activity operates to manage cadence-based playlists identifying one or more media content items having a tempo corresponding to a user’s cadence. The cadence-based playlists can be categorized by different tempi or tempo ranges that cover all likely cadences during the user’s activities. A media-playback device is provided to acquire a user’s cadence and retrieve a cadence-based playlist associated with a tempo or a tempo range corresponding to the cadence.

Abstract: A method for media presentation in a vehicle includes receiving a Bluetooth Low Energy (BLE) advertising message from a user interface (UI) device. The method includes: waking an application module of the first wireless device; authorizing the UI device to remotely control media presentation as presented by the application module; and determining whether the first wireless device is paired or in a current cabled connection with a vehicle head unit of the vehicle. The method includes, when the first wireless device is paired or in a current cabled connection with the vehicle head unit, selecting the first wireless device for subsequent communication with the UI device to control the media presentation, and when the first wireless device is not paired with the vehicle head unit and not in a current cabled connection with the vehicle head unit, terminating the authorization of the UI device to remotely control media presentation.

Abstract: Methods, systems and computer program products are provided for cross-media recommendation by store a plurality of taste profiles corresponding to a first domain and a plurality of media item vectors corresponding to a second domain. An evaluation taste profile in the first domain is applied to a plurality of models that have been generated based on relationship among the plurality of taste profiles and the plurality of media item vectors, and obtain a plurality of resulting codes corresponding to at least one of the plurality of media item vectors in the second domain.

Abstract: A server system obtains a collection of images, each image in the collection of images being associated with a first set of text descriptors. The server system obtains a media item being associated with a second set of text descriptors. The server system selects a subset of the collection of images, including: selecting an initial subset of the collection of images, wherein the initial subset of the collection of images consists of images that share a text descriptor with the media item; obtaining a set of preferences for a user of the media-providing service; and selecting the subset of the collection of images from the initial subset of the collection of images based on the set of preferences for the user of the media-providing service. The server system concurrently presents: a respective image of the subset of the collection of images; and the media item.

Abstract: A system, method and computer product for training a neural network system. The method comprises inputting an audio signal to the system to generate plural outputs f(X, ?). The audio signal includes one or more of vocal content and/or musical instrument content, and each output f(X, ?) corresponds to a respective one of the different content types. The method also comprises comparing individual outputs f(X, ?) of the neural network system to corresponding target signals. For each compared output f(X, ?), at least one parameter of the system is adjusted to reduce a result of the comparing performed for the output f(X, ?), to train the system to estimate the different content types. In one example embodiment, the system comprises a U-Net architecture. After training, the system can estimate various different types of vocal and/or instrument components of an audio signal, depending on which type of component(s) the system is trained to estimate.

Abstract: A lyrics analyzer generates tags and explicitness indicators for a set of tracks. These tags may indicate the genre, mood, occasion, or other features of each track. The lyrics analyzer does so by generating an n-dimensional vector relating to a set of topics extracted from the lyrics and then using those vectors to train a classifier to determine whether each tag applies to each track. The lyrics analyzer may also generate playlists for a user based on a single seed song by comparing the lyrics vector or the lyrics and acoustics vectors of the seed song to other songs to select songs that closely match the seed song. Such a playlist generator may also take into account the tags generated for each track.

Abstract: A system for device discovery for social playback is disclosed. The system operates to connect a host media playback device to a media output device and broadcast a social playback session to guest media playback devices. Upon joining a social playback session, a guest media playback device may control the media playback at the host media playback device. Where the media output for the social playback session is provided by the media output device.

Abstract: Systems, devices, apparatuses, components, methods, and techniques for media a simple user interface that can facilitate discovery of contextually relevant media content with minimal navigation are provided. For example, the disclosed user interface may present contextually relevant categories, sub-categories and media content items while concurrently playing a media content item predicted to likely be selected by the user.

Abstract: Technology for generating, reading, and using machine-readable codes is disclosed. There is a method, performed by an image capture device, for reading and using the codes. The method includes obtaining an image, identifying an area in the image having a machine-readable code. The method also includes, within the image area, finding a predefined start marker defining a start point and a predefined stop marker defining a stop point, an axis being defined there between. A plurality of axis points can be defined along the axis. For each axis point, a first distance within the image area to a mark is determined. The distance can be measured from the axis point in a first direction which is orthogonal to the axis. The first distances can be converted to a binary code using Gray code such that each first distance encodes at least one bit of data in the code.

Abstract: In accordance with an embodiment, described herein is a system and method for association of a song, music, or other media content with a user's video content. The system enables a user to associate a song, music, or other media content that is associated with an audio clip and a song metadata of a media content, with a video they are about to create, or have created, to create a video moment. A recipient of the video moment can hear the audio clip in combination with the video content, and also view the song metadata overlay, to determine the name of the song and artist that was used in the video, or optionally access the song at a media server, for further listening by the recipient.

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: Disclosed embodiments include systems and methods for distributed control of media-playback components of a webcast. In an example, a webcast presenter's device can include a webcast compositing engine for creating a webcast from a variety of data sources, a media-playback engine for playing media content items, and a message processing engine for processing messages sent from audience members to the presenter. The message processing engine can obtain the messages and parse the messages for tokens indicative of a requested media content item. The message processing engine, having identified the requested media content item, can then cause the media-playback engine to play the requested content or add it to a queue.

Abstract: Audio content episodes are received. Using machine learning, one or more audio segments of interest are identified in each of the audio content episodes based at least in part on an analysis of content included in a corresponding audio content episode. Each of the identified audio segments is associated with one or more automatically determined tags. Using machine learning, a recommended audio segment is selected for a specific user from the identified audio segments based at least in part on attributes of the specific user and the automatically determined tags of the identified audio segments. The recommended audio segment are automatically provided in an audio segment feed.

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: Audio translation system includes a feature extractor and a style transfer machine learning model. The feature extractor generates for each of a plurality of source voice files one or more source voice parameters encoded as a collection of source feature vectors, and generates for each of a plurality of target voice files one or more target voice parameters encoded as a collection of target feature vectors. The style transfer machine learning model trained on the collection of source feature vectors for the plurality of source voice files and the collection of target feature vectors for the plurality of target voice files to generate a style transformed feature vector.

Abstract: A system, method and computer product for combining audio tracks. In one example embodiment herein, the method comprises determining at least one music track that is musically compatible with a base music track, aligning those tracks in time, and combining the tracks. In one example embodiment herein, the tracks may be music tracks of different songs, the base music track can be an instrumental accompaniment track, and the at least one music track can be a vocal track. Also in one example embodiment herein, the determining is based on musical characteristics associated with at least one of the tracks, such as an acoustic feature vector distance between tracks, a likelihood of at least one track including a vocal component, a tempo, or musical key. Also, determining of musical compatibility can include determining at least one of a vertical musical compatibility or a horizontal musical compatibility among tracks.

Abstract: A method comprises the following steps: providing a Gaussian process variational autoencoder (GP-VAE) including a Gaussian process (GP) encoder and a neural network decoder; selecting a plurality of inducing points in a data space; generating a mapping of the plurality of inducing points in a latent space; and training the GP-VAE using a training dataset.

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. Data about the preset buttons and the media content associated with the preset buttons can be stored in the media delivery system.

Abstract: Apparatus, methods and computer-readable medium are provided for processing wind noise. Audio input is processed by receiving an audio input. A wind noise level representative of a wind noise at the microphone array is measured using the audio input and a determination is made, based on the wind noise level, whether to perform either (i) a wind noise suppression process on the audio input on-device, or (ii) the wind noise suppression process on the audio input on-device and an audio reconstruction process incloud.