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10/07/2021
Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition
As end-to-end automatic speech recognition (ASR) models reach promising ...
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04/26/2021
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction
Confidence scores are very useful for downstream applications of automat...
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03/25/2021
Residual Energy-Based Models for End-to-End Speech Recognition
End-to-end models with auto-regressive decoders have shown impressive re...
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03/11/2021
Learning Word-Level Confidence For Subword End-to-End ASR
We study the problem of word-level confidence estimation in subword-base...
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10/22/2020
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition
For various speech-related tasks, confidence scores from a speech recogn...
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10/22/2019
Discriminative Neural Clustering for Speaker Diarisation
This paper proposes a novel method for supervised data clustering. The c...
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09/14/2019
Integrating Source-channel and Attention-based Sequence-to-sequence Models for Speech Recognition
This paper proposes a novel automatic speech recognition (ASR) framework...
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10/30/2018
Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks
The standard approach to assess reliability of automatic speech transcri...
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10/30/2018
