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06/27/2023
Confidence-based Ensembles of End-to-End Speech Recognition Models
The number of end-to-end speech recognition models grows every year. The...
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03/18/2023
Powerful and Extensible WFST Framework for RNN-Transducer Losses
This paper presents a framework based on Weighted Finite-State Transduce...
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12/16/2022
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-To-End Automatic Speech Recognition
This paper presents a class of new fast non-trainable entropy-based conf...
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10/06/2021
CTC Variations Through New WFST Topologies
This paper presents novel Weighted Finite-State Transducer (WFST) topolo...
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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...
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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...
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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...
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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 ...
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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...
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04/22/2020
Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription
While end-to-end ASR systems have proven competitive with the convention...
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03/19/2020