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11/17/2022
Token-level Speaker Change Detection Using Speaker Difference and Speech Content via Continuous Integrate-and-fire
In multi-talker scenarios such as meetings and conversations, speech pro...
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01/30/2022
Improving End-to-End Contextual Speech Recognition with Fine-Grained Contextual Knowledge Selection
Nowadays, most methods in end-to-end contextual speech recognition bias ...
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07/01/2021
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
In this paper, we propose an Omni-perception Pre-Trainer (OPT) for cross...
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03/02/2021
Long-Running Speech Recognizer:An End-to-End Multi-Task Learning Framework for Online ASR and VAD
When we use End-to-end automatic speech recognition (E2E-ASR) system for...
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01/17/2021
Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-resource Speech Recognition
End-to-end models have achieved impressive results on the task of automa...
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12/22/2020
Applying wav2vec2.0 to Speech Recognition in various low-resource languages
Several domains own corresponding widely used feature extractors, such a...
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12/17/2020
CIF-based Collaborative Decoding for End-to-end Contextual Speech Recognition
End-to-end (E2E) models have achieved promising results on multiple spee...
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12/11/2020
Exploring wav2vec 2.0 on speaker verification and language identification
Wav2vec 2.0 is a recently proposed self-supervised framework for speech ...
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11/06/2020
Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction
Prediction of events such as part replacement and failure events plays a...
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05/20/2020
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition
End-to-end models are gaining wider attention in the field of automatic ...
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01/02/2020
Speaker-aware speech-transformer
Recently, end-to-end (E2E) models become a competitive alternative to th...
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10/28/2019
Unsupervised pre-training for sequence to sequence speech recognition
This paper proposes a novel approach to pre-train encoder-decoder sequen...
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10/28/2019
Unsupervised pre-traing for sequence to sequence speech recognition
This paper proposes a novel approach to pre-train encoder-decoder sequen...
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01/31/2019
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach
Recently there has been an increasing interest in the multivariate Gauss...
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06/17/2018
Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin
End-to-end models have been showing superiority in Automatic Speech Reco...
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06/12/2018
Multilingual End-to-End Speech Recognition with A Single Transformer on Low-Resource Languages
Sequence-to-sequence attention-based models integrate an acoustic, pronu...
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05/16/2018
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese
The choice of modeling units is critical to automatic speech recognition...
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04/28/2018