Autoregressive neural networks, such as WaveNet, have opened up new avenues for
expressive audio synthesis. High-quality speech synthesis utilizes detailed linguistic
features for conditioning, but comparable levels of control have yet to be realized for neural
synthesis of musical instruments. Here, we demonstrate an autoregressive model capable of
synthesizing realistic audio that closely follows fine-scale temporal conditioning for loudness
and fundamental frequency. We find the appropriate choice of conditioning features and …

Autoregressive neural networks, such as WaveNet, have opened up new avenues for
expressive audio synthesis. High-quality speech synthesis utilizes detailed linguistic
features for conditioning, but comparable levels control have yet to be realized for musical
instruments. Here, we demonstrate an autoregressive model capable of synthesizing
realistic audio that closely follows fine-scale temporal conditioning for loudness and
fundamental frequency. We find the appropriate choice of conditioning features and …