Papers by Alexey Karpov

3 papers
TheRuSLan: Database of Russian Sign Language (2020.lrec-1)

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Challenge: The database is the first of a kind for Russian sign language and is intended for use in machine learning, gesture recognition and sign language linguistics.
Approach: They present a Russian sign language multimedia database called TheRuSLan . the database includes lexical units from Russian sign languages within one subject area .
Outcome: The proposed database includes lexical units from Russian sign language within one subject area.
RUSAVIC Corpus: Russian Audio-Visual Speech in Cars (2022.lrec-1)

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Challenge: a new audio-visual speech corpus is recorded in a car environment and is noise-robust . currently there is no noiserobustic speech recognition system to be used in real-driving conditions.
Approach: They propose to use a natural speech corpus recorded in a car environment to improve audio-based speech recognition in the presence of severe acoustic noise.
Outcome: The proposed corpus is natural, controlled and adequate size to train state-of-the-art NN approaches.
Class-based LSTM Russian Language Model with Linguistic Information (2020.lrec-1)

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Challenge: LSTM models can be used in speech recognition systems at N-best or lattice rescoring stage.
Approach: They propose to use word frequency and linguistic information to generate class-based LSTM Russian language models with various numbers of classes.
Outcome: The proposed models outperform word-based models and word2vec models in terms of perplexity, training time, and word error rate.

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