Ron Weiss

TL;DR: Tacotron is presented, an end-to-end generative text- to-speech model that synthesizes speech directly from characters that achieves a 3.82 subjective 5-scale mean opinion score on US English, outperforming a production parametric system in terms of naturalness.

TL;DR: This work uses RNA interference in human kidney cells to construct a molecular computing core that implements general Boolean logic to make decisions based on endogenous molecular inputs, and demonstrates direct evaluation of expressions with up to five logic variables.

TL;DR: It is shown that raw waveform features match the performance of log-mel filterbank energies when used with a state-of-the-art CLDNN acoustic model trained on over 2,000 hours of speech.

TL;DR: This work uses various CNN architectures to classify the soundtracks of a dataset of 70M training videos with 30,871 video-level labels, and investigates varying the size of both training set and label vocabulary, finding that analogs of the CNNs used in image classification do well on the authors' audio classification task, and larger training and label sets help up to a point.

TL;DR: A synthetic multicellular bacterial system where receiver cells exhibit transient gene expression in response to a long-lasting signal from neighboring sender cells that can respond to communication from nearby sender cells while completely ignoring communication from senders cells further away.