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05/30/2023
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus
This paper introduces a new speech dataset called “LibriTTS-R” designed ...
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03/03/2023
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations
Speech restoration (SR) is a task of converting degraded speech signals ...
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10/03/2022
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration
Denoising diffusion probabilistic models (DDPMs) and generative adversar...
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03/31/2022
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping
Neural vocoder using denoising diffusion probabilistic model (DDPM) has ...
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02/16/2022
Knowledge Transfer from Large-scale Pretrained Language Models to End-to-end Speech Recognizers
End-to-end speech recognition is a promising technology for enabling com...
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11/01/2021
SNRi Target Training for Joint Speech Enhancement and Recognition
This study aims to improve the performance of automatic speech recogniti...
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06/30/2021
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement
Single-channel speech enhancement (SE) is an important task in speech pr...
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09/24/2018
From Audio to Semantics: Approaches to end-to-end spoken language understanding
Conventional spoken language understanding systems consist of two main c...
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08/16/2018
Toward domain-invariant speech recognition via large scale training
Current state-of-the-art automatic speech recognition systems are traine...
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12/09/2017
Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models
In this paper, we describe how to efficiently implement an acoustic room...
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12/05/2017
State-of-the-art Speech Recognition With Sequence-to-Sequence Models
Attention-based encoder-decoder architectures such as Listen, Attend, an...
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12/05/2017
