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10/18/2021
Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning
Speech representation learning plays a vital role in speech processing. ...
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05/07/2021
SpeechNet: A Universal Modularized Model for Speech Processing Tasks
There is a wide variety of speech processing tasks ranging from extracti...
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10/29/2020
Self-supervised Pre-training Reduces Label Permutation Instability of Speech Separation
Speech separation has been well-developed while there are still problems...
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05/13/2020
DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation
In previous works, only parameter weights of ASR models are optimized un...
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11/27/2019
AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition
As one of the major sources in speech variability, accents have posed a ...
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04/10/2019
From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings
Producing a large amount of annotated speech data for training ASR syste...
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11/07/2018
Improved Audio Embeddings by Adjacency-Based Clustering with Applications in Spoken Term Detection
Embedding audio signal segments into vectors with fixed dimensionality i...
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10/30/2018
Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data
Producing a large amount of annotated speech data for training ASR syste...
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07/21/2018
Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval
Word embedding or Word2Vec has been successful in offering semantics for...
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03/29/2018
Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text only
Automatic speech recognition (ASR) has been widely researched with super...
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07/18/2017