Search Results for author:
Found 6 papers, 1 papers with code
The IWSLT 2021 BUT Speech Translation Systems
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
A Technical Report: BUT Speech Translation Systems
To reduce this performance degradation, we have jointly-trained ASR and MT modules with ASR objective as an auxiliary loss.
Jointly Trained Transformers models for Spoken Language Translation
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
BUT Opensat 2019 Speech Recognition System
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
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery
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.
A language model based approach towards large scale and lightweight language identification systems
Most of the existing LID systems rely on modeling the language discriminative information from low-level acoustic features.
