Casio Computer Co., Ltd.

Masaru Setoguchi

Hiroshi Ikeda

Makoto Danjyo

Fumiaki Ota

Takashi Akutsu

Hiroyuki Sasaki

Yukina Ishioka

Yoshinori Yashiro

An electronic musical instrument includes an operation unit that receives a user performance; and at least one processor. wherein the at least one processor performs the following: in accordance with a user operation specifying a chord on the operation unit, obtaining lyric data of a lyric and obtaining a plurality of pieces of waveform data respectively corresponding to a plurality of pitches indicated by the specified chord; inputting the obtained lyric data to a trained model that has been trained and learned singing voices of a singer so as to cause the trained model to output acoustic feature data in response thereto; synthesizing each of the plurality of pieces of waveform data with the acoustic feature data so as to generate a plurality of pieces of synthesized waveform data; and outputting a polyphonic synthesized singing voice based on the generated plurality of pieces of synthesized waveform data.

Electronic musical instrument, electronic musical instrument control method, and storage medium

An electronic musical instrument includes at least one processor that, in accordance with a user operation on an operation unit, obtains lyric data and waveform data corresponding to a first tone color; inputs the obtained lyric data to a trained model so as to cause the trained model to output acoustic feature data in response thereto; generates waveform data corresponding to a singing voice of a singer and corresponding to a second tone color that is different from the first tone color, based on the acoustic feature data outputted from the trained model and the obtained waveform data corresponding to the first tone color; and outputs a singing voice based on the generated waveform data corresponding to the second tone color.

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.

An electronic musical instrument includes: a memory that stores a trained acoustic model obtained by performing machine learning on training musical score data and training singing voice data of a singer; and at least one processor, wherein the at least one processor: in accordance with a user operation on an operation element in a plurality of operation elements, inputs prescribed lyric data and pitch data corresponding to the user operation of the operation element to the trained acoustic model so as to cause the trained acoustic model to output the acoustic feature data in response to the inputted prescribed lyric data and the inputted pitch data, and digitally synthesizes and outputs inferred singing voice data that infers a singing voice of the singer on the basis of the acoustic feature data output by the trained acoustic model.

An electronic musical instrument in one aspect of the disclosure includes a keyboard, a processor and a memory that stores musical piece data that includes data of a vocal part, the vocal part including at least first and second notes together with associated first and second lyric parts that are to be successively played at the first and second timings, respectively, wherein if while a digitally synthesized first signing voice corresponding to the first note is being output, a user specifies, via keyboard, a third pitch that is different from the first and second notes prior to the arrival of the second timing, the at least one processor synthesizes a modified first singing voice having the third pitch in accordance with the data of the first lyric part, and causes the digitally synthesized modified first singing voice to be audibly output at the third timing.

An electronic musical instrument includes: a memory that stores a trained acoustic model obtained by performing machine learning on training musical score data and training singing voice data of a singer; and at least one processor, wherein the at least one processor: in accordance with a user operation on an operation element in a plurality of operation elements, inputs prescribed lyric data and pitch data corresponding to the user operation of the operation element to the trained acoustic model, and digitally synthesizes and outputs inferred singing voice data that infers a singing voice of the singer on the basis of at least a portion of acoustic feature data output by the trained acoustic model, and on the basis of instrument sound waveform data that are synthesized in accordance with the pitch data corresponding to the user operation of the operation element.

An electronic musical instrument in one aspect of the disclosure includes; a plurality of operation elements to be performed by a user for respectively specifying different pitches; a memory that stores musical piece data that includes data of a vocal part, the vocal part including at least a first note with a first pitch and an associated first lyric part that are to be played at a first timing; and at least one processor, wherein if the user does not operate any of the plurality of operation elements in accordance with the first timing, the at least one processor digitally synthesizes a default first singing voice that includes the first lyric part and that has the first pitch in accordance with data of the first note stored in the memory, and causes the digitally synthesized default first singing voice to be audibly output at the first timing.

An electronic musical instrument includes: a memory that stores a machine-learning trained acoustic model mimicking voice of a singer and at least one processor. When a vocoder mode is on, prescribed lyric data and pitch data corresponding to a user operation of an operation element of the musical instrument are inputted to the trained acoustic model, and inferred singing voice data that infers a singing voice of the singer is synthesized on the basis of acoustic feature data output by the trained acoustic model and on the basis of instrument sound waveform data that are synthesized in accordance with the pitch data corresponding to the user operation of the operation element. When the vocoder mode is off, the inferred singing voice data is synthesized based on the acoustic feature data without using the sound waveform data.

According to the present invention, there is provided an electronic musical instrument that allows a player to learn a certain range covering a key of correct pitch and to feel as if he or she were playing the music. The instrument includes a controller to perform a pitches determination process of, based upon first timing and first pitch included in music data, determining pitches within a fixed range from the first pitch, which is allowed to be designated in accordance with the first timing, a display process of displaying an identifier to identify the pitches determined, and an automatic playing process of advancing automatic playing of the music data by producing sound corresponding to the first pitch from a sound producing unit when one of the pitches identified by the identifier displayed by the display process is designated.

Electronic musical instrument, method of controlling the electronic musical instrument, and storage medium thereof

According to the present invention, there is provided an electronic musical instrument, comprising: a plurality of keys; a memory that stores each pattern data showing a combination of a plurality of pitches that comprises a consonance; a speaker; and a processor that executes the following: determining processing for determining whether a combination of the operated keys matches any of the pattern data stored in the memory, first outputting processing for outputting a first sound, when the combination of the operated keys matches any of the pattern data, and second outputting processing for outputting a second sound, when the combination of the operated keys does not match any of the pattern data.

Electronic musical instrument, and control method of electronic musical instrument

The present invention receives sound wave data from a sound inputted into a microphone and samples the sound wave data received using a CPU to obtain sampled data as a digitized tone data, which is then stored in a sampling memory. The CPU performs auto-play of a sound using the digitized tone data sampled by the sampling and stored in the sampling memory. Thus, a result of the sampling is automatically provided to the user after the sampling takes place and the user can intuitively understand what can be done through sampling.

Sampling device, electronic instrument, method, and program

A recording and playback device according to the present invention stores in a memory section sound data for an amount of time corresponding to a beat which is acquired from an external source, and creates loop sound data in bar units by connecting a plurality of stored sound data. Then, the recording and playback device performs an operation to overlap newly acquired sound data onto the loop sound data while the loop sound data is being repeatedly replayed, and store the overlapping sound data in the memory section.

Recording and playback device, storage medium, and recording and playback method

In a recording and playback device of the present invention, when input data exceeding a threshold value is supplied, the CPU records input data for an amount of time corresponding to a single beat in an area specified by syllable number SPLIT in an input buffer IB of the RAM, and after incrementing the syllable number SPLIT, waits until the recorded data becomes silent. The CPU repeats this series of processing until the value of the incremented syllable number SPLIT reaches '4', and thereby stores input data recorded for an amount of time corresponding to a single beat in each input buffer IB(1) to IB(4) corresponding to syllable numbers SPLIT1 to SPLIT4. Then, the CPU copies the input data to the recording area of the RAM such that these input data are sequentially connected and formed into loop data for an amount of time corresponding to a single bar.

Recording and playback device capable of repeated playback, computer-readable storage medium, and recording and playback method

A sampling device includes: an obtainer that obtains a streaming audio waveform; a detector that detects a tap by a user; a designator that designates a sampling start point on the obtained audio waveform when at least a single tap has been detected by the detector, the designating being performed on the basis of one tap among a plurality of the taps when the plurality of taps are detected; a calculator that calculates a sampling duration on the basis of time intervals between the respective taps when the plurality of taps are detected, the calculating being performed from the sampling start point to a subsequent tap that is performed after the one tap; and a waveform sampler that samples the obtained audio waveform, the sampling starting from the designated sampling start point and ending in accordance with the calculated sampling duration.

Sampling device and sampling method

An input frame data producing unit produces from data stored in an input buffer input frames each including a predetermined number of sub-frames of a first hopsize determined based on the first frame size and the overlapping rate. A frame processing unit executes a window function on the input frames and shifts the windowed input frames by the first hopsize and overlaps the shifted input frames, storing the overlapped frames in an output frame. An output buffer data producing frame unit stores data from the output frame to an output buffer including a predetermined number of sub-frames of a second hopsize. A CPU sets the first hopsize and overlapping rate in a slow-speed reproduction when the reproducing speed ratio is set lower than 1 different from in a high-speed reproduction when the reproducing speed ratio is set larger than 1.

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Tokyo, Japan

Masaru Setoguchi