79 citations · 180 across the 18 of their papers we have counts for
21 papers
Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan
Zeinali Hossein, Lee Kong Aik, Alam Jahangir +1
This document outlines the Text-dependent Speaker Verification (TdSV) Challenge 2024, which centers on analyzing and exploring novel approaches for text-dependent speaker verificat…
Leveraging Visemes for Better Visual Speech Representation and Lip Reading
Javad Peymanfard, Vahid Saeedi, Mohammad Reza Mohammadi +2
Lip reading is a challenging task that has many potential applications in speech recognition, human-computer interaction, and security systems. However, existing lip reading system…
Word-level Persian Lipreading Dataset
Javad Peymanfard, Ali Lashini, Samin Heydarian +2
Lip-reading has made impressive progress in recent years, driven by advances in deep learning. Nonetheless, the prerequisite such advances is a suitable dataset. This paper provide…
ArmanTTS single-speaker Persian dataset
Mohammd Hasan Shamgholi, Vahid Saeedi, Javad Peymanfard +2
TTS, or text-to-speech, is a complicated process that can be accomplished through appropriate modeling using deep learning methods. In order to implement deep learning models, a su…
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset
Javad Peymanfard, Samin Heydarian, Ali Lashini +3
In recent years, significant progress has been made in automatic lip reading. But these methods require large-scale datasets that do not exist for many low-resource languages. In t…
ArmanEmo: A Persian Dataset for Text-based Emotion Detection
Hossein Mirzaee, Javad Peymanfard, Hamid Habibzadeh Moshtaghin +1
With the recent proliferation of open textual data on social media platforms, Emotion Detection (ED) from Text has received more attention over the past years. It has many applicat…
Lip reading using external viseme decoding
Javad Peymanfard, Mohammad Reza Mohammadi, Hossein Zeinali +1
Lip-reading is the operation of recognizing speech from lip movements. This is a difficult task because the movements of the lips when pronouncing the words are similar for some of…
BUT System for the Second DIHARD Speech Diarization Challenge
Federico Landini, Shuai Wang, Mireia Diez +9
This paper describes the winning systems developed by the BUT team for the four tracks of the Second DIHARD Speech Diarization Challenge. For tracks 1 and 2 the systems were mainly…
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…
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…
BUT System Description for DIHARD Speech Diarization Challenge 2019
Federico Landini, Shuai Wang, Mireia Diez +8
This paper describes the systems developed by the BUT team for the four tracks of the second DIHARD speech diarization challenge. For tracks 1 and 2 the systems were based on perfo…
BUT System Description to VoxCeleb Speaker Recognition Challenge 2019
Hossein Zeinali, Shuai Wang, Anna Silnova +2
In this report, we describe the submission of Brno University of Technology (BUT) team to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2019. We also provide a brief analysis…
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…
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…
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…
Speaker Recognition with Random Digit Strings Using Uncertainty Normalized HMM-based i-vectors
Nooshin Maghsoodi, Hossein Sameti, Hossein Zeinali +1
In this paper, we combine Hidden Markov Models (HMMs) with i-vector extractors to address the problem of text-dependent speaker recognition with random digit strings. We employ dig…
Speaker verification using end-to-end adversarial language adaptation
Johan Rohdin, Themos Stafylakis, Anna Silnova +3
In this paper we investigate the use of adversarial domain adaptation for addressing the problem of language mismatch between speaker recognition corpora. In the context of speaker…
How to Improve Your Speaker Embeddings Extractor in Generic Toolkits
Hossein Zeinali, Lukas Burget, Johan Rohdin +2
Recently, speaker embeddings extracted with deep neural networks became the state-of-the-art method for speaker verification. In this paper we aim to facilitate its implementation…
Convolutional Neural Networks and x-vector Embedding for DCASE2018 Acoustic Scene Classification Challenge
Hossein Zeinali, Lukas Burget, Jan Cernocky
In this paper, the Brno University of Technology (BUT) team submissions for Task 1 (Acoustic Scene Classification, ASC) of the DCASE-2018 challenge are described. Also, the analysi…
Spoken Pass-Phrase Verification in the i-vector Space
Hossein Zeinali, Lukas Burget, Hossein Sameti +1
The task of spoken pass-phrase verification is to decide whether a test utterance contains the same phrase as given enrollment utterances. Beside other applications, pass-phrase ve…
SUT System Description for NIST SRE 2016
Hossein Zeinali, Hossein Sameti, Nooshin Maghsoodi
This paper describes the submission to fixed condition of NIST SRE 2016 by Sharif University of Technology (SUT) team. We provide a full description of the systems that were includ…