data:image/png;base64,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:image/png;base64,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

generate a list of samples representing a sine wave at the given frequency, duration and sample rate

pt:as amostras de som com _ Hz de _ s amostrado a _ Hz 440a 55=55 a 110=110 a 220=220 a 440=440 a 880=880 a 1760=1760 a 3520=352014410022.05 kHz=22050 44.1 kHz=44100 88.2 kHz=88200 96 kHz=96000

pt:π

pt:_ radianos em graus 0.5quickly plot the samples of a sound, a list of samples (single channel), or a list of lists (multiple channels) to the stage at a lower resolution.

pt:desenha o gráfico do som _ §_soundsMenu1list

pt:a nota com _ Hz 440

pt:a frequência da nota _ 69

pt:o nome da nota _ 69

current indexcurrent index1i1length

current indexlabelsprobabilitiescurrent index1labels1Pick the label with the highest probabilityprobabilities2i1length