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09/15/2023
DiaCorrect: Error Correction Back-end For Speaker Diarization
In this work, we propose an error correction framework, named DiaCorrect...
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08/15/2023
End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations
Conventional keyword search systems operate on automatic speech recognit...
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01/31/2023
Neural Target Speech Extraction: An Overview
Humans can listen to a target speaker even in challenging acoustic condi...
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11/08/2022
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
Personal assistants, automatic speech recognizers and dialogue understan...
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10/28/2022
Parameter-efficient transfer learning of pre-trained Transformer models for speaker verification using adapters
Recently, the pre-trained Transformer models have received a rising inte...
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10/15/2022
Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations
Self-supervised learning of speech representations from large amounts of...
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08/15/2022
Analysis of impact of emotions on target speech extraction and speech separation
Recently, the performance of blind speech separation (BSS) and target sp...
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11/11/2021
MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification
Motivated by unconsolidated data situation and the lack of a standard be...
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10/31/2021
Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model
In typical multi-talker speech recognition systems, a neural network-bas...
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11/04/2020
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery
In this work, we propose a hierarchical subspace model for acoustic unit...
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10/22/2020
A Technical Report: BUT Speech Translation Systems
The paper describes the BUT's speech translation systems. The systems ar...
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04/30/2019
Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text
Sequence-to-sequence ASR models require large quantities of data to atta...
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04/08/2019
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery
This work tackles the problem of learning a set of language specific aco...
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11/05/2018
How to Improve Your Speaker Embeddings Extractor in Generic Toolkits
Recently, speaker embeddings extracted with deep neural networks became ...
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10/01/2018
Convolutional Neural Networks and x-vector Embedding for DCASE2018 Acoustic Scene Classification Challenge
In this paper, the Brno University of Technology (BUT) team submissions ...
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09/28/2018