5 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
Revealing the Hidden Temporal Structure of HubertSoft Embeddings based on the Russian Phonetic Corpus
Anastasia Ananeva, Anton Tomilov, Marina Volkova
Self-supervised learning (SSL) models such as Wav2Vec 2.0 and HuBERT have shown remarkable success in extracting phonetic information from raw audio without labelled data. While pr…
Investigation of Different Calibration Methods for Deep Speaker Embedding based Verification Systems
Galina Lavrentyeva, Sergey Novoselov, Andrey Shulipa +2
Deep speaker embedding extractors have already become new state-of-the-art systems in the speaker verification field. However, the problem of verification score calibration for suc…
Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances
Aleksei Gusev, Vladimir Volokhov, Tseren Andzhukaev +11
Speaker recognition systems based on deep speaker embeddings have achieved significant performance in controlled conditions according to the results obtained for early NIST SRE (Sp…
STC Antispoofing Systems for the ASVspoof2019 Challenge
Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren +3
This paper describes the Speech Technology Center (STC) antispoofing systems submitted to the ASVspoof 2019 challenge. The ASVspoof2019 is the extended version of the previous chal…