Sriram Srinivasan | DeepAI

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Interspeech 2021 Deep Noise Suppression Challenge

The Deep Noise Suppression (DNS) challenge is designed to foster innovat...

5 Chandan K A Reddy, et al. ∙

∙ 11/23/2020

Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication

Large software systems tune hundreds of 'constants' to optimize their ru...

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∙ 09/10/2020

ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets and Testing Framework

The ICASSP 2021 Acoustic Echo Cancellation Challenge is intended to stim...

0 Kusha Sridhar, et al. ∙

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DNN No-Reference PSTN Speech Quality Prediction

Classic public switched telephone networks (PSTN) are often a black box ...

0 Gabriel Mittag, et al. ∙

∙ 05/16/2020

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

The INTERSPEECH 2020 Deep Noise Suppression (DNS) Challenge is intended ...

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∙ 01/23/2020

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

The INTERSPEECH 2020 Deep Noise Suppression Challenge is intended to pro...

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∙ 01/16/2020

Estimating Aggregate Properties In Relational Networks With Unobserved Data

Aggregate network properties such as cluster cohesion and the number of ...

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∙ 09/17/2019

A scalable noisy speech dataset and online subjective test framework

Background noise is a major source of quality impairments in Voice over ...

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∙ 08/26/2019

OpenSpiel: A Framework for Reinforcement Learning in Games

OpenSpiel is a collection of environments and algorithms for research in...

12 Marc Lanctot, et al. ∙

∙ 10/21/2018

Actor-Critic Policy Optimization in Partially Observable Multiagent Environments

Optimization of parameterized policies for reinforcement learning (RL) i...

8 Sriram Srinivasan, et al. ∙

∙ 09/13/2018

A Fairness-aware Hybrid Recommender System

Recommender systems are used in variety of domains affecting people's li...

0 Golnoosh Farnadi, et al. ∙

∙ 03/06/2017

Neural Episodic Control

Deep reinforcement learning methods attain super-human performance in a ...

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∙ 06/06/2016

Unifying Count-Based Exploration and Intrinsic Motivation

We consider an agent's uncertainty about its environment and the problem...

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DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression

Scaling multinomial logistic regression to datasets with very large numb...

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Domain-Independent Optimistic Initialization for Reinforcement Learning

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