An auditory augmentation system includes a database with a multiplicity of audio sections and associated metadata for digital audio files. Each audio section is mapped to a contextual theme, each contextual theme being mapped to an audio section having an entry point and an exit point. The entry and exit points support seamless splice or fade transitions between different audio sections. A processing system couples to the database along with an input; the input is in the form of temporally-varying events data that defines a temporal input. The processing system resolves the temporal input into one or more of a plurality of categorized contextual themes, correlates the categorized contextual themes with metadata associated with selected audio sections relevant to the one or more categorized contextual themes, and splices or fades together selected audio sections, and generates, as an output, a media product in which transitions between audio sections are seamless.

Systems and methods are provided to implement and facilitate cross-fading, interstitials and other effects/processing of two or more media elements in a personalized media delivery service. Effects or crossfade processing can occur on the broadcast, publisher or server-side, but can still be personalized to a specific user, in a manner that minimizes processing on the downstream side or client device. The cross-fade can be implemented after decoding, processing, re-encoding, and rechunking the relevant chunks of each component clip. Alternatively, the cross-fade or other effect can be implemented on the relevant chunks in the compressed domain, thus obviating any loss of quality by re-encoding. A large scale personalized content delivery service can limit the processing to essentially the first and last chunks of any file, there being no need to process the full clip.

Techniques are described herein for generating a music fingerprint representative of a performance style of an individual. One or more characteristics associated with musical data are identified. A score to associated with each of the identified one or more characteristics is determined. The music fingerprint is generated based on the determine score for each of the identified one or more characteristics.

A system providing a music service platform includes a music controller device, a client device, and a server. The music controller device receives musical data indicative of a music performance by an individual and generates metadata characterizing the musical data. The client device includes a software application that receives the musical data and the metadata from the music controller device and presents a graphical user interface for display on the client device. The graphical user interface includes information related to the musical data and the metadata. The server receives the musical data and the metadata, generates one or more analytics associated with the musical data, and performs one or more data aggregation techniques on the musical data.

Techniques are described herein for tracking and analyzing musical activity (e.g., musical performances) captured by a music controller device. Data indicative of a musical performance by an individual is received. Metadata characterizing the musical data is generated. One or more analytics of the musical data is generated based, at least in part, on the metadata.

Advanced, but user-friendly composition and editing environments for musical scores may be provided using the types, and in some cases the instances, of computing devices that will in turn consume musical score content so generated. Indeed, by integrating musical composition facilities within synthetic musical instruments that can be widely deployed on hand-held or portable computing devices, a social music network that includes such synthetic musical instruments gains access to a large, and potentially prolific, population of authors, editors and reviewers, as well as to the community-sourced musical scores that they can generate. By curating such content and/or by applying crowd-sourcing or other computational techniques to maintain quality, a social music network may rapidly deploy the new and ever evolving content that its user community desires.

A media-content augmentation system includes a database with a multiplicity of media files and associated metadata. Each media file is mapped to at least one contextual theme defined by beginning and end timings. A processing system couples to the database; and an input couples to the processing system. The input is in the form of temporally-varying events data. The processing system resolves the input into one or more categorized contextual themes, correlates the themes with metadata associated with selected media files relevant to the themes, and then splices or fades together selected media files to reflect the events as the input varies with time, thus generating as an output, a media product in which transitions between media are aligned with the temporally-varying events. The database may contain sections of digital media files. A method aligns sections in digital media files with temporally-varying events data to compose a media product.

According to a first embodiment, one method presented herein involves methods of finding the best fitting song from a large audio database for a selected video production. The content of these songs utilized in the instant invention has been tagged by emotion tags describing the energy, the emotion of these songs over timemeaning that each song can contain a plurality of, even overlapping, emotions.

A method and a device provides a user with the ability to freely improvise or play around with a selection of different chords and be provided with visual guidance assisting the improvisation of melody, while also providing accompaniment consistent with the selection of chords. Sound files consistent with a user selection of a chord and/or a dynamic level are selected from an audio library and played, while the user is given visual cues on a user interface keyboard assisting the user to select notes that are consistent with the chord selected for the accompaniment.

Methods, systems and apparatus to characterize audio using transchromagrams are disclosed. An example apparatus includes a transchromagram generator to generate a data structure based on a set of transition matrices corresponding to a plurality of time frames of audio data, the data structure indicative of probabilities that first musical notes will transition to second musical notes, a database controller to prompt a database to store the data structure within the audio data, and a notification manager to generate, based on a comparison between query audio data and the stored data structure of the audio data, a notification identifying at least one characteristic of the query audio data.