7 citations · 23 across the 11 of their papers we have counts for
9 papers
Lightweight Target-Speaker-Based Overlap Transcription for Practical Streaming ASR
Aleš Pražák, Marie Kunešová, Josef Psutka
Overlapping speech remains a major challenge for automatic speech recognition (ASR) in real-world applications, particularly in broadcast media with dynamic, multi-speaker interact…
A Comparative Analysis of Bilingual and Trilingual Wav2Vec Models for Automatic Speech Recognition in Multilingual Oral History Archives
Jan Lehečka, Josef V. Psutka, Luboš Šmídl +2
In this paper, we are comparing monolingual Wav2Vec 2.0 models with various multilingual models to see whether we could improve speech recognition performance on a unique oral hist…
Transfer Learning of Transformer-based Speech Recognition Models from Czech to Slovak
Jan Lehečka, Josef V. Psutka, Josef Psutka
In this paper, we are comparing several methods of training the Slovak speech recognition models based on the Transformers architecture. Specifically, we are exploring the approach…
Spoken Term Detection and Relevance Score Estimation using Dot-Product of Pronunciation Embeddings
Jan Švec, Luboš Šmídl, Josef V. Psutka +1
The paper describes a novel approach to Spoken Term Detection (STD) in large spoken archives using deep LSTM networks. The work is based on the previous approach of using Siamese n…
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…