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Found 13 papers, 1 papers with code
Universal speaker recognition encoders for different speech segments duration
According to our observations systems trained on short speech segments are optimal for short phrase speaker verification and systems trained on long segments are superior for long segments verification.
Investigation of Different Calibration Methods for Deep Speaker Embedding based Verification Systems
An additional focus of this research is to estimate the impact of score normalization on the calibration performance of the system.
Robust Speaker Recognition with Transformers Using wav2vec 2.0
Recent advances in unsupervised speech representation learning discover new approaches and provide new state-of-the-art for diverse types of speech processing tasks.
STC speaker recognition systems for the NIST SRE 2021
This paper presents a description of STC Ltd. systems submitted to the NIST 2021 Speaker Recognition Evaluation for both fixed and open training conditions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances
Speaker recognition systems based on deep speaker embeddings have achieved significant performance in controlled conditions according to the results obtained for early NIST SRE (Speaker Recognition Evaluation) datasets.
STC Speaker Recognition Systems for the VOiCES From a Distance Challenge
The challenge's SR task is focused on the problem of speaker recognition in single channel distant/far-field audio under noisy conditions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
STC Antispoofing Systems for the ASVspoof2019 Challenge
We enhanced Light CNN architecture previously considered by the authors for replay attacks detection and which performed high spoofing detection quality during the ASVspoof2017 challenge.
On deep speaker embeddings for text-independent speaker recognition
We investigate deep neural network performance in the textindependent speaker recognition task.
Deep CNN based feature extractor for text-prompted speaker recognition
By using multitask learning scheme to train the high-level feature extractor we were able to surpass the classic baseline systems in terms of quality and achieved impressive results for such a novice approach, getting 2. 85% EER on the RSR2015 evaluation set.
On Residual CNN in text-dependent speaker verification task
Deep learning approaches are still not very common in the speaker verification field.
Anti-spoofing Methods for Automatic SpeakerVerification System
We compared several spoofing detection systems, presented so far, on the development and evaluation datasets of the Automatic SpeakerVerification Spoofing and Countermeasures (ASVspoof) Challenge 2015. Experimental results presented in this paper demonstrate that the useof magnitude and phase information combination provides a substantialinput into the efficiency of the spoofing detection systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Audio-replay attack detection countermeasures
This paper presents the Speech Technology Center (STC) replay attack detection systems proposed for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017.
STC Anti-spoofing Systems for the ASVspoof 2015 Challenge
This paper presents the Speech Technology Center (STC) systems submitted to Automatic Speaker Verification Spoofing and Countermeasures (ASVspoof) Challenge 2015.
