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Galina Lavrentyeva

5 accepted papers

2025

In Search of Optimal Pretraining Strategy for Robust Speaker Recognition

ICASSP 2025accepted

While demonstrating state-of-the-art results in the microphone channel domain (VoxCeleb protocols), contemporary speaker verification systems are not often tested in challenging acoustic environments such as telephone channel or far-field microphone. This paper compares modern pretraining strategies…

Cited by 0SourceScholar
2023

Universal Speaker Recognition Encoders for Different Speech Segments Duration

ICASSP 2023accepted

Creating universal speaker encoders which are robust for different acoustic and speech duration conditions is a big challenge today. According to our observations systems trained on short speech segments are optimal for short phrase speaker verification and systems trained on long segments are super…

Cited by 0SourceScholar
2019

Phonespoof: A New Dataset for Spoofing Attack Detection in Telephone Channel

ICASSP 2019accepted

The results of spoofing detection systems proposed during ASVspoof Challenges 2015 and 2017 confirmed the perspective in detection of unforseen spoofing trials in microphone channel. However, telephone channel presents much more challenging conditions for spoofing detection, due to limited bandwidth…

Cited by 0SourceScholar
2018

Deep CNN Based Feature Extractor for Text-Prompted Speaker Recognition

ICASSP 2018accepted

Deep learning is still not a very common tool in speaker verification field. We study deep convolutional neural network performance in the text-prompted speaker verification task. The prompted passphrase is segmented into word states - i.e. digits - to test each digit utterance separately. We train…

Cited by 0SourceScholar
2016

STC anti-spoofing systems for the ASVspoof 2015 challenge

ICASSP 2016accepted

This paper presents the Speech Technology Center (STC) systems submitted to Automatic Speaker Verification Spoofing and Countermeasures (ASVspoof) Challenge 2015. In this work we investigate different acoustic feature spaces to determine reliable and robust countermeasures against spoofing attacks.…

Cited by 0SourceScholar