A method for automating audio mashup production is disclosed. First, two or more audio files are received. Based on two or more audio files, two or more stem audio files and reference metadata associated with the two or more audio files are retrieved from a server. Each of the two or more stem audio files includes at least one of an instrument portion or a vocal portion that are included in the two or more audio files. After retrieval of the two or more stem audio files and the reference metadata, at least some musical parameters associated with segments of the two or more stem audio files are adjusted. Thereafter, the two or more stem audio files or adjusted segments of the two or more stem audio files can be combined into a single audio file. The single audio file is output to a user device.

A smart speaker with music recognition is disclosed, including: a housing, an input device and a control device. The input device receives music information from a music source. The control device includes a processing unit, a storage unit, a communication unit, a voice module and a music recognition module. The storage unit contains a music database. The music recognition module recognizes the feature value of the music information, and uses the feature value to perform melody comparison with the plurality of songs stored in the music database, to search for specific songs and related information in the music database matching the feature value, and upload to the cloud server through the communication unit. After browsing the webpage from the cloud server, the user knows whether a specific song and related information matching the feature value of the music information are stored in the music database.

A method for automating audio mashup production is disclosed. First, two or more audio files are received. Based on two or more audio files, two or more stem audio files and reference metadata associated with the two or more audio files are retrieved from a server. Each of the two or more stem audio files includes at least one of an instrument portion or a vocal portion that are included in the two or more audio files. After retrieval of the two or more stem audio files and the reference metadata, at least some musical parameters associated with segments of the two or more stem audio files are adjusted. Thereafter, the two or more stem audio files or adjusted segments of the two or more stem audio files can be combined into a single audio file. The single audio file is output to a user device.

The present disclosure relates to a method for generating a new chord sequence. The method comprises obtaining known chord sequences (S), wherein each known chord sequence has a respective known transition (T) between each pair of consecutive chords (C) in the known chord sequence. The method also comprises, among the chords of the known sequences, determining one or more new allowed transitions (N). The method also comprises, among the chords of the known chord sequences, generating a new chord sequence (L) based on there being a respective known or new allowed transition between each two consecutive chords in the new chord sequence, and the new chord sequence being loopable by there also being a known or new allowed transition between a first chord and a last chord in the new chord.

A media content item sequencing system determines a sequence for playback of selected media content items, such as media content items in a playlist. The system calculates similarities between all possible pairs of the media content items and determines a sequence of the media content items using the similarities. The sequence of media content items can be determined by modeling the track features of the media content items with a graphic traversal problem and calculating a solution to the problem with various methods.

When a processor accepts an input of plural notes to be assigned for tone generation, according to a predetermined note determining rule called assignment type, the processor selects one or more notes to be sounded in each of plural parts from the accepted notes. The processor controls a display unit to display, for each of the plural parts, the accepted plural notes to be assigned for tone generation. At this time, non-selected one or more notes in respective parts are displayed in one style, and the selected one or more notes in the respective parts are displayed in another style different from the one style. Alternatively, the plural notes to be assigned for tone generation are displayed in one style, and, for each of the plural parts, the selected one or more notes are displayed in another style different from the one style.

An accompaniment data generating apparatus has a storing portion 15 for storing sets of phrase waveform data each related to a chord identified on the basis of a combination of chord type and chord root, and a CPU 9. The CPU 9 carries out a chord information obtaining process for obtaining chord information by which a chord type and a chord root are identified, and a chord note waveform data generating process for generating phrase waveform data indicative of chord notes of the chord root and the chord type identified by the obtained chord information in accordance with the obtained chord information by use of the sets of phrase waveform data stored in the storing portion 15, and outputting the generated data as accompaniment data.