An electronic musical instrument includes: a memory that stores lyric data including lyrics for a plurality of timings, pitch data including pitches for said plurality of timings, and a trained model that has been trained and learned singing voice features of a singer; and at least one processor, wherein at each of said plurality of timings, the at least one processor: if the operation unit is not operated, obtains, from the trained model, a singing voice feature associated with a lyric indicated by the lyric data and a pitch indicated by the pitch data; if the operation unit is operated, obtains, from the trained model, a singing voice feature associated with the lyric indicated by the lyric data and a pitch indicated by the operation of the operation unit; and synthesizes and outputs singing voice data based on the obtained singing voice feature of the singer.

Techniques are disclosed relating to generating music content. In one embodiment, a method includes determining one or more musical attributes based on external data and generating music content based on the one or more musical attributes. Generating the music content may include selecting from stored sound loops or tracks and/or generating new tracks based on the musical attributes. Selected or generated sound loops or tracks may be layered to generate the music content. Musical attributes may be determined in some embodiments based on user input (e.g., indicating a desired energy level), environment information, and/or user behavior information. Artists may upload tracks, in some embodiments, and be compensated based on usage of their tracks in generating music content. In some embodiments, a method includes generating sound and/or light control information based on the musical attributes.

A vocal music production apparatus for converting vocalized music to produced instrumentals includes a housing front side, a housing back side, a housing left side, a housing right side, a housing top side, and a housing bottom side. A touch screen is coupled to the housing within the housing front side. A microprocessor is coupled within the housing and is in operational communication with the touch screen. The microprocessor includes a digital synthesizer to convert vocal audio inputs to digital music. A microphone, a speaker, a headphone jack, and a battery are coupled to the housing and are in operational communication with the microprocessor. A port is coupled to the housing and is in operational communication with the microprocessor and the battery. A plurality of control buttons is coupled to the housing and is in operational communication with the microprocessor.

A vocal music production apparatus for converting vocalized music to produced instrumentals includes a housing front side, a housing back side, a housing left side, a housing right side, a housing top side, and a housing bottom side. A touch screen is coupled to the housing within the housing front side. A microprocessor is coupled within the housing and is in operational communication with the touch screen. The microprocessor includes a digital synthesizer to convert vocal audio inputs to digital music. A microphone, a speaker, a headphone jack, and a battery are coupled to the housing and are in operational communication with the microprocessor. A port is coupled to the housing and is in operational communication with the microprocessor and the battery. A plurality of control buttons is coupled to the housing and is in operational communication with the microprocessor.

The invention relates to estimating tempo information directly from a bitstream encoding audio information, preferably music. Said tempo information is derived from at least one periodicity derived from a detection of at least two onsets included in the audio information. Such onsets are detected via a detection of long to short block transitions (in the bitstream) or/and via a detection of a changing bit allocation (change of cost) regarding encoding/transmitting the exponents of transform coefficients encoded in the bitstream.

Disclosed is a system and method that allows users to customize audible and visible signals, such as music or video, to maintain a pre-determined or specified pace or to achieve a new pace in repetitive motion activities such as, but not limited to, running, walking, swimming, cycling, aerobics, and the like. Other applications of the system and method include, but are not limited to, enhancing the results of medical rehabilitation programs, physical therapy, weight loss programs, disc jockey services, and industries or manufacturing settings where repetitive motion is common and where audible cues designed to help users maintain a consistent pace are useful.

Disclosed is a system and method that allows users to customize audible and visible signals, such as music or video, to maintain a pre-determined or specified pace or to achieve a new pace in repetitive motion activities such as, but not limited to, running, walking, swimming, cycling, aerobics, and the like. Other applications of the system and method include, but are not limited to, enhancing the results of medical rehabilitation programs, physical therapy, weight loss programs, disc jockey services, and industries or manufacturing settings where repetitive motion is common and where audible cues designed to help users maintain a consistent pace are useful.

A signal generation method implemented by a computer system includes: generating an audio signal in response to a manipulation of each of a first key and a second key; and controlling generation of the audio signal based on a reference point that is a position of the first key at a time point of a manipulation of the second key, based on the second key being manipulated during a manipulation of the first key.

Some audio processing methods may involve receiving audio data corresponding to a plurality of audio channels and determining audio characteristics of the audio data, which may include transient information. An amount of decorrelation for the audio data may be based, at least in part, on the audio characteristics. If a definite transient event is determined, a decorrelation process may be temporarily halted or slowed. Determining transient information may involve evaluating the likelihood and/or the severity of a transient event. In some implementations, determining transient information may involve evaluating a temporal power variation in the audio data. Explicit transient information may or may not be received with the audio data, depending on the implementation. Explicit transient information may include a transient control value corresponding to a definite transient event, a definite non-transient event or an intermediate transient control value.

Methods and apparatus to use predicted actions in VR environments are disclosed. An example method includes predicting a predicted time of a predicted virtual contact of a virtual reality controller with a virtual musical instrument, determining, based on at least one parameter of the predicted virtual contact, a characteristic of a virtual sound the musical instrument would make in response to the virtual contact, and initiating producing the sound before the predicted time of the virtual contact of the controller with the musical instrument.