Modulation spectrum-based post-filter for GMM-based Voice Conversion

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific ◽

10.1109/apsipa.2014.7041540 ◽

2014 ◽

Cited By ~ 3

Author(s):

Shinnosuke Takamichi ◽

Tomoki Toda ◽

Alan W Black ◽

Satoshi Nakamura

Keyword(s):

Voice Conversion ◽

Modulation Spectrum ◽

Post Filter

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Nonparallel Dictionary-Based Voice Conversion Using Variational Autoencoder with Modulation-Spectrum-Constrained Training

Journal of Signal Processing ◽

10.2299/jsp.22.189 ◽

2018 ◽

Vol 22 (4) ◽

pp. 189-192

Author(s):

Tuan Vu Ho ◽

Masato Akagi

Keyword(s):

Voice Conversion ◽

Modulation Spectrum ◽

Variational Autoencoder

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Modified post-filter to recover modulation spectrum for HMM-based speech synthesis

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip.2014.7032177 ◽

2014 ◽

Cited By ~ 3

Author(s):

Shinnosuke Takamichi ◽

Tomoki Toda ◽

Alan W Black ◽

Satoshi Nakamura

Keyword(s):

Speech Synthesis ◽

Modulation Spectrum ◽

Post Filter

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Modulation spectrum-constrained trajectory training algorithm for GMM-based Voice Conversion

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2015.7178894 ◽

2015 ◽

Cited By ~ 11

Author(s):

Shinnosuke Takamichi ◽

Tomoki Toda ◽

Alan W. Black ◽

Satoshi Nakamura

Keyword(s):

Voice Conversion ◽

Training Algorithm ◽

Modulation Spectrum

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Voice Conversion Across Arbitrary Speakers Based on a Single Target-Speaker Utterance

10.21437/interspeech.2018-1504 ◽

2018 ◽

Cited By ~ 8

Author(s):

Songxiang Liu ◽

Jinghua Zhong ◽

Lifa Sun ◽

Xixin Wu ◽

Xunying Liu ◽

...

Keyword(s):

Voice Conversion ◽

Single Target ◽

Target Speaker

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Improving Sparse Representations in Exemplar-Based Voice Conversion with a Phoneme-Selective Objective Function

10.21437/interspeech.2018-1272 ◽

2018 ◽

Cited By ~ 1

Author(s):

Shaojin Ding ◽

Guanlong Zhao ◽

Christopher Liberatore ◽

Ricardo Gutierrez-Osuna

Keyword(s):

Objective Function ◽

Sparse Representations ◽

Voice Conversion

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Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features

10.21437/interspeech.2016-705 ◽

2016 ◽

Author(s):

Yi Yang ◽

Hidetsugu Uchida ◽

Daisuke Saito ◽

Nobuaki Minematsu

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Voice Conversion ◽

Multiple Frame

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Learning Structured Dictionaries for Exemplar-based Voice Conversion

10.21437/interspeech.2018-1295 ◽

2018 ◽

Cited By ~ 2

Author(s):

Shaojin Ding ◽

Christopher Liberatore ◽

Ricardo Gutierrez-Osuna

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 ◽

2018 ◽

Cited By ~ 13

Author(s):

Berrak Sisman ◽

Mingyang Zhang ◽

Haizhou Li

Keyword(s):

Sparse Representation ◽

Voice Conversion

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Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks

10.21437/interspeech.2017-970 ◽

2017 ◽

Cited By ~ 32

Author(s):

Takuhiro Kaneko ◽

Hirokazu Kameoka ◽

Kaoru Hiramatsu ◽

Kunio Kashino

Keyword(s):

Voice Conversion ◽

Generative Adversarial Networks ◽

Similarity Metric ◽

Adversarial Networks

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Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks

10.21437/interspeech.2020-2162 ◽

2020 ◽

Author(s):

Minchuan Chen ◽

Weijian Hou ◽

Jun Ma ◽

Shaojun Wang ◽

Jing Xiao

Keyword(s):

Voice Conversion ◽

Generative Adversarial Networks ◽

Adversarial Networks

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