Search Results for author:
Found 5 papers, 0 papers with code
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.
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
On deep speaker embeddings for text-independent speaker recognition
We investigate deep neural network performance in the textindependent speaker recognition task.
