Apparatus and methods for securing a string to an acoustic, stringed instrument are disclosed. Example apparatus include string anchors secured to a bridge of the stringed instrument. The apparatus provide components enabling selective tensioning of the string. A seat arrangement provided by string anchors receives an anchor end of string and the string passes from the seat arrangement through a base arrangement and towards a headstock of the acoustic instrument.

Apparatus and methods for securing a string to an acoustic, stringed instrument are disclosed. Example apparatus include string anchors secured to a bridge of the stringed instrument. The apparatus provide components enabling selective tensioning of the string. A seat arrangement provided by string anchors receives an anchor end of string and the string passes from the seat arrangement through a base arrangement and towards a headstock of the acoustic instrument.

There is provided a system of producing music that is in accordance with a user's measured arterial pulse wave form, the system comprising: a sound generator comprising a processing circuitry, the processing circuitry comprising a processor and memory, the processing circuitry being configured to: receive a digital signal indicative of a plethysmogram (PG) of the user; and generate, from the digital signal, data indicative of an audio segment.

A method analyzes a reference signal representing a sound in each of analysis periods to obtain a series of phase spectra and a series of amplitude spectra over the analysis periods; adjusts, for each respective analysis period, phases of each harmonic component in a respective phase spectrum to be a target value at a pitch mark corresponding to the respective analysis period; synthesizes a first sound signal over the analysis periods based on the adjusted series of phase spectra of the reference signal and the obtained series of amplitude spectra of the reference signal; prepares training data including first control data representing of generative conditions of the reference signal and the first sound signal synthesized from the reference signal; and establishes, through machine learning using the training data, the generative model that generates a second sound signal based on second control data representing generative conditions of the second sound signal.

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.