Amazon’s AI creates synthesized singers


AI and machine learning algorithms are quite skilled at generating works of art — and highly realistic images of apartments, people, and pets to boot. But relatively few have been tuned to singing synthesis, or the task of cloning musicians’ voices.

Researchers from Amazon and Cambridge put their collective minds to the challenge in a recent paper in which they propose an AI system that requires “considerably” less modeling than previous work of features like vibratos and note durations. It taps a Google-designed algorithm — WaveNet — to synthesize the mel-spectrograms, or representations of the power spectrum of sounds, which another model produces using a combination of speech and signing data.

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