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Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments
Mapping Intimacies
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10.21437/ssw.2021-20
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2021
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Author(s):
Alejandro Mottini
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Jaime Lorenzo-Trueba
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Sri Vishnu Kumar Karlapati
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Thomas Drugman
Keyword(s):
Voice Conversion
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Reverberant Environments
Download Full-text
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10.23919/eusipco47968.2020.9287627
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2021
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Author(s):
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Phrimphissa Kraikhun
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Chatrin Phunruangsakao
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Voice Conversion Across Arbitrary Speakers Based on a Single Target-Speaker Utterance
10.21437/interspeech.2018-1504
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2018
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Author(s):
Songxiang Liu
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Improving Sparse Representations in Exemplar-Based Voice Conversion with a Phoneme-Selective Objective Function
10.21437/interspeech.2018-1272
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Shaojin Ding
◽
Guanlong Zhao
◽
Christopher Liberatore
◽
Ricardo Gutierrez-Osuna
Keyword(s):
Objective Function
◽
Sparse Representations
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Voice Conversion
Download Full-text
Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features
10.21437/interspeech.2016-705
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2016
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Author(s):
Yi Yang
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Hidetsugu Uchida
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Daisuke Saito
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Nobuaki Minematsu
Keyword(s):
Gaussian Mixture Model
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Mixture Model
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Gaussian Mixture
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Voice Conversion
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Multiple Frame
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Learning Structured Dictionaries for Exemplar-based Voice Conversion
10.21437/interspeech.2018-1295
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2018
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Shaojin Ding
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Christopher Liberatore
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Keyword(s):
Voice Conversion
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A Voice Conversion Framework with Tandem Feature Sparse Representation and Speaker-Adapted WaveNet Vocoder
10.21437/interspeech.2018-1131
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2018
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Author(s):
Berrak Sisman
◽
Mingyang Zhang
◽
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Keyword(s):
Sparse Representation
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Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks
10.21437/interspeech.2017-970
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2017
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◽
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Kunio Kashino
Keyword(s):
Voice Conversion
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Generative Adversarial Networks
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Similarity Metric
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Adversarial Networks
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Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks
10.21437/interspeech.2020-2162
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2020
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Author(s):
Minchuan Chen
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Weijian Hou
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Jun Ma
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Shaojun Wang
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Jing Xiao
Keyword(s):
Voice Conversion
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Generative Adversarial Networks
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Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency
10.21437/interspeech.2020-1196
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2020
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Author(s):
Tuan Dinh
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Alexander Kain
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Robin Samlan
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Beiming Cao
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Jun Wang
Keyword(s):
Fundamental Frequency
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Voice Conversion
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Alaryngeal Speech
Download Full-text
Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments
10.21437/interspeech.2019-1428
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2019
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Cited By ~ 2
Author(s):
Hassan Taherian
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Zhong-Qiu Wang
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Keyword(s):
Deep Learning
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Speaker Recognition
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Reverberant Environments
Download Full-text
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