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1
Mandarin-English Code-switching Speech Recognition with Self-supervised Speech Representation Models ...
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2
Improving Cross-Lingual Reading Comprehension with Self-Training ...
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3
Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation ...
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4
S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations ...
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5
Mitigating Biases in Toxic Language Detection through Invariant Rationalization ...
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6
Mitigating Biases in Toxic Language Detection through Invariant Rationalization ...
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7
Looking for Clues of Language in Multilingual BERT to Improve Cross-lingual Generalization ...
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8
DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation ...
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9
What makes multilingual BERT multilingual? ...
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10
Pretrained Language Model Embryology: The Birth of ALBERT ...
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11
AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization ...
Abstract: Recently, voice conversion (VC) has been widely studied. Many VC systems use disentangle-based learning techniques to separate the speaker and the linguistic content information from a speech signal. Subsequently, they convert the voice by changing the speaker information to that of the target speaker. To prevent the speaker information from leaking into the content embeddings, previous works either reduce the dimension or quantize the content embedding as a strong information bottleneck. These mechanisms somehow hurt the synthesis quality. In this work, we propose AGAIN-VC, an innovative VC system using Activation Guidance and Adaptive Instance Normalization. AGAIN-VC is an auto-encoder-based model, comprising of a single encoder and a decoder. With a proper activation as an information bottleneck on content embeddings, the trade-off between the synthesis quality and the speaker similarity of the converted speech is improved drastically. This one-shot VC system obtains the best performance regardless of the ... : Submitted to ICASSP 2021 ...
Keyword: Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD
URL: https://dx.doi.org/10.48550/arxiv.2011.00316
https://arxiv.org/abs/2011.00316
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12
Defending Your Voice: Adversarial Attack on Voice Conversion ...
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13
FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention ...
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14
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model ...
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15
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning ...
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16
From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings ...
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17
Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations ...
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18
Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data ...
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19
Segmental Audio Word2Vec: Representing Utterances as Sequences of Vectors with Applications in Spoken Term Detection ...
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20
Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval ...
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