63 citations · 78 across the 5 of their papers we have counts for
5 papers
Large Raw Emotional Dataset with Aggregation Mechanism
Vladimir Kondratenko, Artem Sokolov, Nikolay Karpov +3
We present a new data set for speech emotion recognition (SER) tasks called Dusha. The corpus contains approximately 350 hours of data, more than 300 000 audio recordings with Russ…
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
The Critical Assessment of Genome Interpretation Consortium
The Critical Assessment of Genome Interpretation (CAGI) aims to advance the state of the art for computational prediction of genetic variant impact, particularly those relevant to…
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era
Shahin Amiriparian, Artem Sokolov, Ilhan Aslan +9
Text encodings from automatic speech recognition (ASR) transcripts and audio representations have shown promise in speech emotion recognition (SER) ever since. Yet, it is challengi…
Real-time Streaming Wave-U-Net with Temporal Convolutions for Multichannel Speech Enhancement
Vasiliy Kuzmin, Fyodor Kravchenko, Artem Sokolov +1
In this paper, we describe the work that we have done to participate in Task1 of the ConferencingSpeech2021 challenge. This task set a goal to develop the solution for multi-channe…
Gender domain adaptation for automatic speech recognition task
Sokolov Artem, Andrey V. Savchenko
This paper is focused on the finetuning of acoustic models for speaker adaptation goals on a given gender. We pretrained the Transformer baseline model on Librispeech-960 and condu…