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20172024
most citedConvolutional Neural Networks and x-vector Embedding for DCASE2018 Acoustic Scene Classification Challenge

44 citations · 100 across the 34 of their papers we have counts for

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Showing 2019Show all

10 papers · 1 filter

eess.AS2019

A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: the DeepMine Database

Hossein Zeinali, Lukáš Burget, Jan "Honza'' Černocký

DeepMine is a speech database in Persian and English designed to build and evaluate text-dependent, text-prompted, and text-independent speaker verification, as well as Persian spe…

eess.AS2019★ 12 cited

Short-duration Speaker Verification (SdSV) Challenge 2021: the Challenge Evaluation Plan

Hossein Zeinali, Kong Aik Lee, Jahangir Alam +1

This document describes the Short-duration Speaker Verification (SdSV) Challenge 2021. The main goal of the challenge is to evaluate new technologies for text-dependent (TD) and te…

cs.CL2019★ 11 cited

Learning document embeddings along with their uncertainties

Santosh Kesiraju, Oldřich Plchot, Lukáš Burget +1

Majority of the text modelling techniques yield only point-estimates of document embeddings and lack in capturing the uncertainty of the estimates. These uncertainties give a notio…

cs.CV2019★ 1 cited

Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge

Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou +4

In this paper, we present the system description of the joint efforts of Brno University of Technology (BUT) and Omilia -- Conversational Intelligence for the ASVSpoof2019 Spoofing…

eess.AS2019★ 6 cited

Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge

Hossein Zeinali, Lukáš Burget, Jan "Honza'' Černocký

In this report, the Brno University of Technology (BUT) team submissions for Task 1 (Acoustic Scene Classification, ASC) of the DCASE-2019 challenge are described. Also, the analys…

eess.AS2019★ 2 cited

BUT VOiCES 2019 System Description

Hossein Zeinali, Pavel Matějka, Ladislav Mošner +6

This is a description of our effort in VOiCES 2019 Speaker Recognition challenge. All systems in the fixed condition are based on the x-vector paradigm with different features and…