7 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CL2022
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…
cs.CL2022★ 7 cited
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…
cs.CL2022★ 5 cited
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…