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data:image/png;base64,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: REPLACE THIS WITH YOUR MODEL!!!!
Current model: https://teachablemachine.withgoogle.com/models/gInCikmLFgenerate a list of samples representing a sine wave at the given frequency, duration and sample ratept: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=96000pt: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 _
§_soundsMenu1pt:a nota com _ Hz
440pt:a frequência da nota _
69pt:o nome da nota _
69current indexcurrent index1i1current indexlabelsprobabilitiescurrent index1labels1Pick the label with the highest probabilityprobabilities2i1