activity
20142018
most citedCNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation

153 citations · 234 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2018★ 153 cited

CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation

Caroline Etienne, Guillaume Fidanza, Andrei Petrovskii +2

In this work we design a neural network for recognizing emotions in speech, using the IEMOCAP dataset. Following the latest advances in audio analysis, we use an architecture invol…

hep-th2015★ 24 cited

Diagonal form factors and hexagon form factors

Yunfeng Jiang, Andrei Petrovskii

We study the heavy-heavy-light (HHL) three-point functions in the planar N = 4 super-Yang- Mills theory using the recently proposed hexagon bootstrap program [arXiv:1505.06745]. We…

hep-th2015★ 28 cited

Diagonal Form Factors and Heavy-Heavy-Light Three-Point Functions at Weak Coupling

Laszlo Hollo, Yunfeng Jiang, Andrei Petrovskii

In this paper we consider a special kind of three-point functions of HHL type at weak coupling in N=4 SYM theory and analyze its volume dependence. At strong coupling this kind of…

hep-th2014★ 2 cited

From Spin Vertex to String Vertex

Yunfeng Jiang, Andrei Petrovskii

In the recent publication arXiv:1410.8860 the spin vertex was introduced as a new approach for computing three-point functions in N = 4 SYM. In this note we consider the BMN limit…

hep-th2014★ 27 cited

String Bits and the Spin Vertex

Yunfeng Jiang, Ivan Kostov, Andrei Petrovskii +1

We initiate a novel formalism for computing correlation functions of trace operators in the planar N=4 SYM theory. The central object in our formalism is the spin vertex, which is…