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06/27/2023
Evaluation and Optimization of Rendering Techniques for Autonomous Driving Simulation
In order to meet the demand for higher scene rendering quality from some...
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01/05/2023
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
We introduce a language modeling approach for text to speech synthesis (...
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12/18/2022
BEATs: Audio Pre-Training with Acoustic Tokenizers
The massive growth of self-supervised learning (SSL) has been witnessed ...
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04/27/2022
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?
Recently, self-supervised learning (SSL) has demonstrated strong perform...
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12/16/2021
Self-Supervised Learning for speech recognition with Intermediate layer supervision
Recently, pioneer work finds that speech pre-trained models can solve fu...
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10/26/2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Self-supervised learning (SSL) achieves great success in speech recognit...
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10/12/2021
Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification
The speech representations learned from large-scale unlabeled data have ...
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10/12/2021
UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training
Self-supervised learning (SSL) is a long-standing goal for speech proces...
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01/19/2021
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
In this paper, we propose a unified pre-training approach called UniSpee...
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08/13/2020
Continuous Speech Separation with Conformer
Continuous speech separation plays a vital role in complicated speech re...
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05/28/2020
On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition
Recently, there has been a strong push to transition from hybrid models ...
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04/21/2020
Curriculum Pre-training for End-to-End Speech Translation
End-to-end speech translation poses a heavy burden on the encoder, becau...
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12/06/2019
Semantic Mask for Transformer based End-to-End Speech Recognition
Attention-based encoder-decoder model has achieved impressive results fo...
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09/17/2019
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation
End-to-end speech translation, a hot topic in recent years, aims to tran...
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09/05/2019
Accelerating Transformer Decoding via a Hybrid of Self-attention and Recurrent Neural Network
Due to the highly parallelizable architecture, Transformer is faster to ...
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09/05/2019
