  We provide a speech coding scheme employing a generative model based on
SampleRNN that, while operating at significantly lower bitrates, matches or
surpasses the perceptual quality of state-of-the-art classic wide-band codecs.
Moreover, it is demonstrated that the proposed scheme can provide a meaningful
rate-distortion trade-off without retraining. We evaluate the proposed scheme
in a series of listening tests and discuss limitations of the approach.
