Search Results for author: Jan "Honza'' Černocký

Found 7 papers, 1 papers with code

Speaker adaptation for Wav2vec2 based dysarthric ASR

no code implementations2 Apr 2022 Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Diez, Tim Polzehl, Lukáš Burget, Jan "Honza'' Černocký

Speaker adaptation using fMLLR and xvectors have provided major gains for dysarthric speech with very little adaptation data.

speech-recognition Speech Recognition

BUT Opensat 2019 Speech Recognition System

no code implementations30 Jan 2020 Martin Karafiát, Murali Karthick Baskar, Igor Szöke, Hari Krishna Vydana, Karel Veselý, Jan "Honza'' Černocký

The paper describes the BUT Automatic Speech Recognition (ASR) systems submitted for OpenSAT evaluations under two domain categories such as low resourced languages and public safety communications.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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

no code implementations8 Dec 2019 Hossein Zeinali, Lukáš Burget, Jan "Honza'' Černocký

We also provide the results of several experiments that can be considered as baselines: HMM-based i-vectors for text-dependent speaker verification, and HMM-based as well as state-of-the-art deep neural network based ASR.

speech-recognition Speech Recognition +2

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

no code implementations13 Jul 2019 Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou, Johan Rohdin, Ioannis Gkinis, Lukáš Burget, Jan "Honza'' Černocký

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 and Countermeasures Challenge.

Analysis of Multilingual Sequence-to-Sequence speech recognition systems

no code implementations7 Nov 2018 Martin Karafiát, Murali Karthick Baskar, Shinji Watanabe, Takaaki Hori, Matthew Wiesner, Jan "Honza'' Černocký

This paper investigates the applications of various multilingual approaches developed in conventional hidden Markov model (HMM) systems to sequence-to-sequence (seq2seq) automatic speech recognition (ASR).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

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