In this study, we cast the problem of emotion conversion as a spoken language translation task. We use a decomposition of the speech signal into discrete learned representations...
To fill the gap, this paper presents the first set of soft-error detection methods for low-precision quantized-arithmetic operators in DLRM including general matrix multiplication...
We show that our general performance model not only achieves low prediction error on DLRM, which has highly customized configurations and is dominated by multiple factors but also...
The aim of this paper is to provide information about the relative performance of most of the coding tools supported in the AV1 coding specification.
In this paper, we focus on two key problems impacting deployment of distributed inference (DI) models on SC: resource allocation and cold start latency. To address the two...
We present MidasTouch, a tactile perception system for online global localization of a vision-based touch sensor sliding on an object surface.
We conduct real-world experiments where the robot is tasked to achieve a relative target angle. We show that our approach outperforms a sliding-window based MLP in a zero-shot...
We introduce the first unsupervised speech synthesis system based on a simple, yet effective recipe. The framework leverages recent work in unsupervised speech recognition as well...
We explore this alternate setting with access to the underlying world state only during training and investigate ways of “baking in” the state knowledge along with the primary...
We present a motion in-betweening framework to generate high quality, physically plausible character animation when we are given temporally sparse keyframes as soft animation...
