no code implementations • ACL (IWSLT) 2021 • Hari Krishna Vydana, Martin Karafi'at, Luk'as Burget, "Honza" Cernock'y
Large amounts of ASR and MT training data are utilized for pre-training the ASR and MT models.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 22 Oct 2020 • Hari Krishna Vydana, Lukas Burget, Jan Cernocky
To reduce this performance degradation, we have jointly-trained ASR and MT modules with ASR objective as an auxiliary loss.
no code implementations • 25 Apr 2020 • Hari Krishna Vydana, Martin Karafi'at, Katerina Zmolikova, Luk'as Burget, Honza Cernocky
Conventional spoken language translation (SLT) systems are pipeline based systems, where we have an Automatic Speech Recognition (ASR) system to convert the modality of source from speech to text and a Machine Translation (MT) systems to translate source text to text in target language.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
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
1 code implementation • 8 Apr 2019 • Lucas Ondel, Hari Krishna Vydana, Lukáš Burget, Jan Černocký
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.
no code implementations • 13 Oct 2015 • Brij Mohan Lal Srivastava, Hari Krishna Vydana, Anil Kumar Vuppala, Manish Shrivastava
Most of the existing LID systems rely on modeling the language discriminative information from low-level acoustic features.