Apparatus, methods, and systems that operate to provide interactive streaming content identification and processing are disclosed. An example apparatus includes a classifier to determine an audio characteristic value representative of an audio characteristic in audio; a transition detector to detect a transition between a first category and a second category by comparing the audio characteristic value to a threshold value among a set of threshold values, the set of threshold values corresponding to the first category and the second category; and a context manager to control a device to switch from a first fingerprinting algorithm to a second fingerprinting algorithm different than the first fingerprinting algorithm, responsive to the detected transition between the first category and the second category.

Provided are a music extension method and apparatus, an electronic device, and a storage medium. The music extension method includes the following: receiving a target triggering operation of extending to-be-extended music; in response to the target triggering operation, determining a target music segment according to the music feature of the to-be-extended music; and splicing the target music segment to the target position of the to-be-extended music to obtain extended target music.

Systems, methods, and computer-readable media for a music management service are provided. A music management service may enable different users to produce instrumentation, styles based on such instrumentation, songs based on such styles, and/or modifications to such songs via various online and/or other suitable user interfaces with different levels of control based on the type of user interfacing with the service.

A smart music device and process provide users with an interface to play a selected song in the correct song key. The device includes a graphical user interface with areas demarcated by translucent conductive ink printed on the layer's underside. A layer of force sensor resistors (FSRs) are under the areas. Touching one of the areas closes a circuit between then conductive ink and FSR triggering a note to be played. The demarcated areas are illuminated to guide the user on scale and root node position. Metadata in memory storage includes the song key which is used during song playback to trigger assignment of the key correct scale across the FSRs and illuminate its root position of musical notes. Touching an area triggers a signal sent to a connected musical instrument to play the note.

A performance control method includes estimating a performance position in a musical piece by analyzing a performance of the musical piece by a performer, causing a performance device to execute an automatic performance in accordance with performance data designating the performance content of the musical piece so as to be synchronized with the progress of the performance position, and controlling the relationship between the progress of the performance position and the automatic performance in accordance with control data that is independent of the performance data.

Example apparatus, articles of manufacture and methods to determine semantic audio information for audio are disclosed. Example methods include extracting a plurality of audio features from the audio, at least one of the plurality of audio features including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature. Example methods also include comparing the plurality of audio features to a plurality of stored audio feature ranges having tags associated therewith. Example methods further include determining a set of ranges of the plurality of stored audio feature ranges having closest matches to the plurality of audio features, a tag associated with the set of ranges having the closest matches to be used to determine the semantic audio information for the audio.

Example articles of manufacture and apparatus disclosed herein for producing supplemental information for audio signature data obtain the audio signature data of a first time period including data relating to at least one of time or frequency components representing a first characteristic of media. Disclosed examples also obtain first semantic audio signature data, for the first time period, that is a measure of generalized information representing characteristics of the media. Disclosed examples further store the audio signature data of the first time period in association with a second time period when it is determined that second semantic audio signature data for the second time period substantially matches the first semantic audio signature data for the first time period.

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.