5 citations · 13 across the 8 of their papers we have counts for
4 papers · 1 filter
Transformer-based encoder-encoder architecture for Spoken Term Detection
Jan Švec, Luboš Šmídl, Jan Lehečka
The paper presents a method for spoken term detection based on the Transformer architecture. We propose the encoder-encoder architecture employing two BERT-like encoders with addit…
Deep LSTM Spoken Term Detection using Wav2Vec 2.0 Recognizer
Jan Švec, Jan Lehečka, Luboš Šmídl
In recent years, the standard hybrid DNN-HMM speech recognizers are outperformed by the end-to-end speech recognition systems. One of the very promising approaches is the grapheme…
Transformer-based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project
Jan Lehečka, Josef V. Psutka, Josef Psutka
Czech is a very specific language due to its large differences between the formal and the colloquial form of speech. While the formal (written) form is used mainly in official docu…
Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech
Jan Lehečka, Jan Švec, Aleš Pražák +1
In this paper, we present our progress in pretraining Czech monolingual audio transformers from a large dataset containing more than 80 thousand hours of unlabeled speech, and subs…