no code implementations • 2 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.
no code implementations • 29 Mar 2022 • Themos Stafylakis, Ladislav Mošner, Oldřich Plchot, Johan Rohdin, Anna Silnova, Lukáš Burget, Jan "Honza'' Černocký
In this paper, we demonstrate a method for training speaker embedding extractors using weak annotation.
1 code implementation • 13 Apr 2021 • Murali Karthick Baskar, Lukáš Burget, Shinji Watanabe, Ramon Fernandez Astudillo, Jan "Honza'' Černocký
Self-supervised ASR-TTS models suffer in out-of-domain data conditions.
no code implementations • 30 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
no code implementations • 8 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.
no code implementations • 13 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.
no code implementations • 7 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