research
∙
08/16/2022
Uconv-Conformer: High Reduction of Input Sequence Length for End-to-End Speech Recognition
Optimization of modern ASR architectures is among the highest priority t...
share
research
∙
04/06/2021
LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring
Neural network-based language models are commonly used in rescoring appr...
research
∙
03/12/2021
Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech Recognition
With the rapid development of speech assistants, adapting server-intende...
research
∙
06/15/2020
Exploration of End-to-End ASR for OpenSTT – Russian Open Speech-to-Text Dataset
This paper presents an exploration of end-to-end automatic speech recogn...
research
∙
05/14/2020
Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario
Speaker diarization for real-life scenarios is an extremely challenging ...
research
∙
05/14/2020
You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation
Data augmentation is one of the most effective ways to make end-to-end a...
research
∙
04/22/2020