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08/14/2023
O-1: Self-training with Oracle and 1-best Hypothesis
We introduce O-1, a new self-training objective to reduce training bias ...
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03/10/2023
Robust Knowledge Distillation from RNN-T Models With Noisy Training Labels Using Full-Sum Loss
This work studies knowledge distillation (KD) and addresses its constrai...
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04/02/2022
Speaker adaptation for Wav2vec2 based dysarthric ASR
Dysarthric speech recognition has posed major challenges due to lack of ...
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02/24/2022
Ask2Mask: Guided Data Selection for Masked Speech Modeling
Masked speech modeling (MSM) methods such as wav2vec2 or w2v-BERT learn ...
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04/13/2021
EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition
Self-supervised ASR-TTS models suffer in out-of-domain data conditions. ...
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01/30/2020
BUT Opensat 2019 Speech Recognition System
The paper describes the BUT Automatic Speech Recognition (ASR) systems s...
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04/30/2019
Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text
Sequence-to-sequence ASR models require large quantities of data to atta...
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11/07/2018
Analysis of Multilingual Sequence-to-Sequence speech recognition systems
This paper investigates the applications of various multilingual approac...
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11/07/2018
Promising Accurate Prefix Boosting for sequence-to-sequence ASR
In this paper, we present promising accurate prefix boosting (PAPB), a d...
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11/06/2018
Language model integration based on memory control for sequence to sequence speech recognition
In this paper, we explore several new schemes to train a seq2seq model t...
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11/06/2018
Transfer learning of language-independent end-to-end ASR with language model fusion
This work explores better adaptation methods to low-resource languages u...
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10/04/2018
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling
Sequence-to-sequence (seq2seq) approach for low-resource ASR is a relati...
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08/06/2018