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20172026
most citedSeeing wake words: Audio-visual Keyword Spotting

22 citations · 38 across the 30 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.AS2019

End-to-end architectures for ASR-free spoken language understanding

Elisavet Palogiannidi, Ioannis Gkinis, George Mastrapas +2

Spoken Language Understanding (SLU) is the problem of extracting the meaning from speech utterances. It is typically addressed as a two-step problem, where an Automatic Speech Reco…

cs.CV2019

Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge

Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou +4

In this paper, we present the system description of the joint efforts of Brno University of Technology (BUT) and Omilia -- Conversational Intelligence for the ASVSpoof2019 Spoofing…

eess.AS2019★ 1 cited

Speaker Recognition with Random Digit Strings Using Uncertainty Normalized HMM-based i-vectors

Nooshin Maghsoodi, Hossein Sameti, Hossein Zeinali +1

In this paper, we combine Hidden Markov Models (HMMs) with i-vector extractors to address the problem of text-dependent speaker recognition with random digit strings. We employ dig…

eess.AS2019

Privacy-Preserving Speaker Recognition with Cohort Score Normalisation

Andreas Nautsch, Jose Patino, Amos Treiber +5

In many voice biometrics applications there is a requirement to preserve privacy, not least because of the recently enforced General Data Protection Regulation (GDPR). Though progr…

cs.CV2019

Self-supervised speaker embeddings

Themos Stafylakis, Johan Rohdin, Oldrich Plchot +2

Contrary to i-vectors, speaker embeddings such as x-vectors are incapable of leveraging unlabelled utterances, due to the classification loss over training speakers. In this paper,…