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20182026
most citedAcoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge

6 citations · 21 across the 23 of their papers we have counts for

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Showing 2019Show all

5 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…

cs.CV2019

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.AS20196 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

Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text

Murali Karthick Baskar, Shinji Watanabe, Ramon Astudillo +3

Sequence-to-sequence automatic speech recognition (ASR) models require large quantities of data to attain high performance. For this reason, there has been a recent surge in intere…

cs.LG2019

Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery

Lucas Ondel, Hari Krishna Vydana, Lukáš Burget +1

This work tackles the problem of learning a set of language specific acoustic units from unlabeled speech recordings given a set of labeled recordings from other languages. Our app…