5 citations · 10 across the 6 of their papers we have counts for
13 papers
Post-training Model Quantization Using GANs for Synthetic Data Generation
Athanasios Masouris, Mansi Sharma, Adrian Boguszewski +3
Quantization is a widely adopted technique for deep neural networks to reduce the memory and computational resources required. However, when quantized, most models would need a sui…
Enabling NAS with Automated Super-Network Generation
J. Pablo Muñoz, Nikolay Lyalyushkin, Yash Akhauri +3
Recent Neural Architecture Search (NAS) solutions have produced impressive results training super-networks and then deriving subnetworks, a.k.a. child models that outperform expert…
STC speaker recognition systems for the NIST SRE 2021
Anastasia Avdeeva, Aleksei Gusev, Igor Korsunov +9
This paper presents a description of STC Ltd. systems submitted to the NIST 2021 Speaker Recognition Evaluation for both fixed and open training conditions. These systems consists…
Post-training deep neural network pruning via layer-wise calibration
Ivan Lazarevich, Alexander Kozlov, Nikita Malinin
We present a post-training weight pruning method for deep neural networks that achieves accuracy levels tolerable for the production setting and that is sufficiently fast to be run…
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…
Neural Network Compression Framework for fast model inference
Alexander Kozlov, Ivan Lazarevich, Vasily Shamporov +2
In this work we present a new framework for neural networks compression with fine-tuning, which we called Neural Network Compression Framework (NNCF). It leverages recent advances…
Lightweight Network Architecture for Real-Time Action Recognition
Alexander Kozlov, Vadim Andronov, Yana Gritsenko
In this work we present a new efficient approach to Human Action Recognition called Video Transformer Network (VTN). It leverages the latest advances in Computer Vision and Natural…
STC Speaker Recognition Systems for the VOiCES From a Distance Challenge
Sergey Novoselov, Aleksei Gusev, Artem Ivanov +5
This paper presents the Speech Technology Center (STC) speaker recognition (SR) systems submitted to the VOiCES From a Distance challenge 2019. The challenge's SR task is focused o…
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…
Development of Real-time ADAS Object Detector for Deployment on CPU
Alexander Kozlov, Daniil Osokin
In this work, we outline the set of problems, which any Object Detection CNN faces when its development comes to the deployment stage and propose methods to deal with such difficul…
On deep speaker embeddings for text-independent speaker recognition
Sergey Novoselov, Andrey Shulipa, Ivan Kremnev +2
We investigate deep neural network performance in the textindependent speaker recognition task. We demonstrate that using angular softmax activation at the last classification laye…
Audio-replay attack detection countermeasures
Galina Lavrentyeva, Sergey Novoselov, Egor Malykh +3
This paper presents the Speech Technology Center (STC) replay attack detection systems proposed for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017. In t…
STC Anti-spoofing Systems for the ASVspoof 2015 Challenge
Sergey Novoselov, Alexandr Kozlov, Galina Lavrentyeva +2
This paper presents the Speech Technology Center (STC) systems submitted to Automatic Speaker Verification Spoofing and Countermeasures (ASVspoof) Challenge 2015. In this work we i…