A method for detecting a melody of an audio signal, including: dividing the audio signal into a plurality of audio segments based on a beat, detecting a pitch frequency of each frame of audio sub-signal in each of the audio segments, and estimating a pitch value of each of the audio segments based on the pitch frequency; determining a pitch name corresponding to each of the audio segments based on a frequency range of the pitch value; acquiring a musical scale of the audio signal by estimating a tonality of the audio signal based on the pitch name of each of the audio segments; and determining a melody of the audio signal based on a frequency interval of the pitch value of each of the audio segments in the musical scale.

Systems, methods and apparatus for cellular compositions/generating music in real-time using cells are provided. The cellular compositions may be dependent on user data.

Systems, methods and apparatus for cellular compositions/generating music in real-time using cells are provided. The cellular compositions may be dependent on user data.

The present invention provides an automatic mixing device, including: a music feature calculator. Input music of the music feature calculator includes melody, bass, percussion music, and vocal tracks; the music feature calculator selects one or more of the melody track, bass track, percussion track, and vocal tracks, and calculates one or more features of the input music, including beat point time, a chord at a downbeat, a chroma vector at a downbeat, sound energy at a downbeat, tonality and tempo. The automatic mixing device of the present invention can calculate music features in the music according to different audio tracks and automatically calculate mixing points according to the music features, thereby achieving the automation of mixing and solving the problem of low mixing efficiency, unnatural mixing effect, and the like in the prior art.

The present invention provides an automatic mixing device, including: a music feature calculator. Input music of the music feature calculator includes melody, bass, percussion music, and vocal tracks; the music feature calculator selects one or more of the melody track, bass track, percussion track, and vocal tracks, and calculates one or more features of the input music, including beat point time, a chord at a downbeat, a chroma vector at a downbeat, sound energy at a downbeat, tonality and tempo. The automatic mixing device of the present invention can calculate music features in the music according to different audio tracks and automatically calculate mixing points according to the music features, thereby achieving the automation of mixing and solving the problem of low mixing efficiency, unnatural mixing effect, and the like in the prior art.

A feedback system may play back, to a user, an altered version of the user's voice in real time, in order to reduce stuttering by the user. The system may operate in different feedback modes at different times. For instance, the system may detect when the severity of a user's stuttering increases, which is indicative of the user habituating to the current feedback mode. The system may then switch to a different feedback mode. In some cases, the feedback modes include at least a Whisper mode, a Reverb mode, and a Harmony mode. In Whisper mode, the user's voice may be transformed to sound as if it were whispering in the user's ears. In Harmony mode, the user's voice may be altered as if the user were harmonizing with himself or herself. In Reverb mode, the user's voice may be altered so that it reverberates.

A chord identification method selects from among a plurality of chord identifiers a chord identifier that corresponds to an attribute of a piece of music represented by an audio signal, where the plurality of chord identifiers corresponds to respective ones of a plurality of attributes relating to pieces of music; and identifies a chord for the audio signal by applying a feature amount of the audio signal to the selected chord identifier.

An information processing device (100) according to the present disclosure is an information processing device that controls a first application (20) and a second application (20) that functions as a plug-in that extends functions of the first application. The first application includes a control unit (161) that controls operation of the second application in the first application, and the second application includes a selection unit (166) that selects setting information for controlling a composition function based on machine learning, and a transmission/reception unit (167) that transmits the setting information to an external server (200) that executes a composition function based on machine learning and receives music data composed by the external server through a network.

An information processing device (100) according to the present disclosure is an information processing device that controls a first application (20) and a second application (20) that functions as a plug-in that extends functions of the first application. The first application includes a control unit (161) that controls operation of the second application in the first application, and the second application includes a selection unit (166) that selects setting information for controlling a composition function based on machine learning, and a transmission/reception unit (167) that transmits the setting information to an external server (200) that executes a composition function based on machine learning and receives music data composed by the external server through a network.

The present disclosure provides a method for mixing audio, pertaining to the technical field of multimedia. The method includes: after acquiring an audio material to be mixed, determining a beat feature of a target audio, performing beat adjustment on the audio material based on the beat feature of the target audio; and performing audio mixing on the target audio based on the audio material adjusted by the beat adjustment.