44 citations · 100 across the 34 of their papers we have counts for
10 papers · 1 filter
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition
Ondrej Novotny, Oldrich Plchot, Ondrej Glembek +2
In this work, we present an analysis of a DNN-based autoencoder for speech enhancement, dereverberation and denoising. The target application is a robust speaker verification (SV)…
Promising Accurate Prefix Boosting for sequence-to-sequence ASR
Murali Karthick Baskar, Lukáš Burget, Shinji Watanabe +3
In this paper, we present promising accurate prefix boosting (PAPB), a discriminative training technique for attention based sequence-to-sequence (seq2seq) ASR. PAPB is devised to…
Speaker verification using end-to-end adversarial language adaptation
Johan Rohdin, Themos Stafylakis, Anna Silnova +3
In this paper we investigate the use of adversarial domain adaptation for addressing the problem of language mismatch between speaker recognition corpora. In the context of speaker…
How to Improve Your Speaker Embeddings Extractor in Generic Toolkits
Hossein Zeinali, Lukas Burget, Johan Rohdin +2
Recently, speaker embeddings extracted with deep neural networks became the state-of-the-art method for speaker verification. In this paper we aim to facilitate its implementation…
Discriminatively Re-trained i-vector Extractor for Speaker Recognition
Ondrej Novotny, Oldrich Plchot, Ondrej Glembek +2
In this work we revisit discriminative training of the i-vector extractor component in the standard speaker verification (SV) system. The motivation of our research lies in the rob…
Convolutional Neural Networks and x-vector Embedding for DCASE2018 Acoustic Scene Classification Challenge
Hossein Zeinali, Lukas Burget, Jan Cernocky
In this paper, the Brno University of Technology (BUT) team submissions for Task 1 (Acoustic Scene Classification, ASC) of the DCASE-2018 challenge are described. Also, the analysi…