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11/03/2022
Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing
When recognizing emotions from speech, we encounter two common problems:...
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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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10/11/2022
On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding
In this paper we examine the use of semantically-aligned speech represen...
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03/28/2022
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings
In speaker recognition, where speech segments are mapped to embeddings o...
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04/06/2021
Speaker embeddings by modeling channel-wise correlations
Speaker embeddings extracted with deep 2D convolutional neural networks ...
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09/02/2020
Seeing wake words: Audio-visual Keyword Spotting
The goal of this work is to automatically determine whether and when a w...
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04/06/2020
Probabilistic embeddings for speaker diarization
Speaker embeddings (x-vectors) extracted from very short segments of spe...
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07/13/2019
Speaker Recognition with Random Digit Strings Using Uncertainty Normalized HMM-based i-vectors
In this paper, we combine Hidden Markov Models (HMMs) with i-vector extr...
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07/13/2019
Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge
In this paper, we present the system description of the joint efforts of...
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07/08/2019
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation
In many voice biometrics applications there is a requirement to preserve...
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04/06/2019
Self-supervised speaker embeddings
Contrary to i-vectors, speaker embeddings such as x-vectors are incapabl...
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11/06/2018
Speaker verification using end-to-end adversarial language adaptation
In this paper we investigate the use of adversarial domain adaptation fo...
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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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11/03/2018
Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs
Visual and audiovisual speech recognition are witnessing a renaissance w...
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09/28/2018
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture
Recent works in speech recognition rely either on connectionist temporal...
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07/23/2018
Zero-shot keyword spotting for visual speech recognition in-the-wild
Visual keyword spotting (KWS) is the problem of estimating whether a tex...
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02/27/2018
Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model
Embeddings in machine learning are low-dimensional representations of co...
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02/18/2018
End-to-end Audiovisual Speech Recognition
Several end-to-end deep learning approaches have been recently presented...
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10/30/2017
Deep word embeddings for visual speech recognition
In this paper we present a deep learning architecture for extracting wor...
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03/12/2017