The present disclosure provides a rhythm point detection method and apparatus and an electronic device, and relates to the technical field of music analysis. The method includes that: an audio signal to be detected is acquired, and an audio feature curve is generated according to the audio signal to be detected; a music style of the audio signal to be detected is determined; a detection peak threshold and a detection frame width threshold are determined according to the music style of the audio signal to be detected; and a rhythm point of the audio feature curve is determined according to the detection peak threshold and the detection frame width threshold.

A content control device includes: a plurality of controls to which a plurality of parameters for controlling properties of a content containing at least one of sound and video are respectively assigned, each of the plurality of controls outputting a first indicated value in accordance with an operation amount of the control; and a processor configured to previously create setting information used to determine respective values of the plurality of parameters in accordance with the second indicated value; determine the values of the plurality of parameters corresponding to the second indicated value respectively in accordance with the second indicated value and the setting information; and revise each of the values of the parameters to be determined in accordance with the first indicated value outputted for the control assigned to the parameter.

The invention is a process for the creation of an audio effect in the context of an audio editing software. The effect is created by applying a series or sequence of reversal instances across a sample or waveform in time.

The invention concerns a method for generating a signature of a musical audio signal of a given duration, the method comprising the following steps: modelling (104) the musical audio signal to obtain, for each frequency band of a set of n frequency bands, a diagram representing the energy of the audio signal for the frequency band, on the basis of the time during said given duration; determining (103) musical transition times t.sub.k of the audio signal during the given duration; associating (105) each musical transition time tk with an item of local information comprising a vector of n values representative, respectively, of the energy of the audio signal in each of the n diagrams obtained between musical transition time tk and a subsequent musical transition time tk+1 and/or a vector of n values representative, respectively, of the energy of the audio signal in each of the n diagrams obtained between musical transition time tk and a preceding musical transition time tk1; determining (106), on the basis of the local information associated with each musical transition time tk, a key associated with the musical transition time, the determined keys forming a first set of keys of the audio signal; generating (107) a signature of the musical audio signal comprising pairs of keys from the first set of keys and associated musical transition times tk.

Collaboratively creating musical harmonies includes receiving a user selection of a particular harmony. In response to this selection, there is displayed on a display screen of a computing device a plurality of musical note indicators or notes to specify a first harmony part of a musical piece to be performed. Real-time pitch detection is used to determine a pitch of each note which is voiced by a person, and a graphic indication of the actual pitch which is sung is displayed in conjunction with the musical note indicators.

Method for transcription of voiced musical note includes segmenting an electronic audio signal into a plurality of musical note segments, and sampling each note segment to obtain a plurality of audio samples. For each audio sample, an autocorrelation is computed to determine a probability value associated with certain audio frequencies contained within the audio sample. Local maxima are identified in the energy associated with one or more audio frequencies comprising each audio sample and a corrective function applied to reduce the occurrence of octave errors. A true pitch of each note segment is then determined by converting the pitch identification problem to one involving a shortest path through a graph or network of node. Edge weights are computed for a plurality of adjacent nodes i, j comprising the graph, where each node represents one of the musical note segments.

A content control device includes: a plurality of controls to which a plurality of parameters for controlling properties of a content containing at least one of sound and video are respectively assigned, each of the plurality of controls outputting a first indicated value in accordance with an operation amount of the control; and a processor configured to previously create setting information used to determine respective values of the plurality of parameters in accordance with the second indicated value; determine the values of the plurality of parameters corresponding to the second indicated value respectively in accordance with the second indicated value and the setting information; and revise each of the values of the parameters to be determined in accordance with the first indicated value outputted for the control assigned to the parameter.

A method for combining a plurality of video files with a tune and a recording medium storing an executable program for implementing the method. The method comprises transmitting a service request from an electronic device to a synchronizing server, wherein the service request includes meta information of a plurality of video files, a display order of the plurality of video files, and meta information of a tune, detecting a plurality of beats from the tune; and selecting, from the plurality of beats, a set of beats that synchronize with the plurality of the video files; and transmitting a service response from the synchronizing server to the electronic device, wherein the service response includes time frames associated with the set of beats.

A sound signal processing method according to an embodiment includes a step of acquiring an input sound signal, a step of acquiring a beat number per unit time period from the input sound signal, a step of normalizing the input sound signal with the beat number per unit time period, a step of calculating a beat spectrum of the normalized input sound signal, and a step of calculating a rhythm similarity between the beat spectrum of the normalized input sound signal and a normalized beat spectrum calculated from a reference sound signal.

Provided is a sound signal processing method including a step of acquiring a unit time length in an input sound signal, a step of calculating a tone feature amount from the input sound signal, a step of calculating an index indicating validity of time lengths in a case where the time lengths are assumed the time lengths of one beat and one measure using the unit time length as a reference in the input sound signal with respect to the tone feature amount, and a step of estimating the time lengths of one beat and one measure using the unit time length as a reference based on the index.