22 citations · 42 across the 34 of their papers we have counts for
7 papers · 1 filter
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…
Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs
Themos Stafylakis, Muhammad Haris Khan, Georgios Tzimiropoulos
Visual and audiovisual speech recognition are witnessing a renaissance which is largely due to the advent of deep learning methods. In this paper, we present a deep learning archit…
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture
Stavros Petridis, Themos Stafylakis, Pingchuan Ma +2
Recent works in speech recognition rely either on connectionist temporal classification (CTC) or sequence-to-sequence models for character-level recognition. CTC assumes conditiona…
Zero-shot keyword spotting for visual speech recognition in-the-wild
Themos Stafylakis, Georgios Tzimiropoulos
Visual keyword spotting (KWS) is the problem of estimating whether a text query occurs in a given recording using only video information. This paper focuses on visual KWS for words…
Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model
Niko Brummer, Anna Silnova, Lukas Burget +1
Embeddings in machine learning are low-dimensional representations of complex input patterns, with the property that simple geometric operations like Euclidean distances and dot pr…
End-to-end Audiovisual Speech Recognition
Stavros Petridis, Themos Stafylakis, Pingchuan Ma +3
Several end-to-end deep learning approaches have been recently presented which extract either audio or visual features from the input images or audio signals and perform speech rec…