Pathological voice adaptation with autoencoder-based voice conversion

Mapping Intimacies ◽

10.21437/ssw.2021-4 ◽

2021 ◽

Author(s):

Marc Illa ◽

Bence Mark Halpern ◽

Rob van Son ◽

Laureano Moro-Velazquez ◽

Odette Scharenborg

Keyword(s):

Voice Conversion ◽

Pathological Voice

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

10.21437/interspeech.2018-1504 ◽

2018 ◽

Author(s):

Songxiang Liu ◽

Jinghua Zhong ◽

Lifa Sun ◽

Xixin Wu ◽

Xunying Liu ◽

...

Keyword(s):

Voice Conversion ◽

Single Target ◽

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

10.21437/interspeech.2018-1272 ◽

2018 ◽

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 ◽

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Learning Structured Dictionaries for Exemplar-based Voice Conversion

10.21437/interspeech.2018-1295 ◽

2018 ◽

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 ◽

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 ◽

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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Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency

10.21437/interspeech.2020-1196 ◽

2020 ◽

Author(s):

Tuan Dinh ◽

Alexander Kain ◽

Robin Samlan ◽

Beiming Cao ◽

Jun Wang

Keyword(s):

Fundamental Frequency ◽

Voice Conversion ◽

Alaryngeal Speech

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Automatic Estimation of Pathological Voice Quality Based on Recurrent Neural Network Using Amplitude and Phase Spectrogram

10.21437/interspeech.2020-3228 ◽

2020 ◽

Author(s):

Shunsuke Hidaka ◽

Yogaku Lee ◽

Kohei Wakamiya ◽

Takashi Nakagawa ◽

Tokihiko Kaburagi

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Voice Quality ◽

Automatic Estimation ◽

Pathological Voice

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Average Modeling Approach to Voice Conversion with Non-Parallel Data

10.21437/odyssey.2018-32 ◽

2018 ◽

Author(s):

Xiaohai Tian ◽

Junchao Wang ◽

Haihua Xu ◽

Eng-Siong Chng ◽

Haizhou Li

Keyword(s):

Voice Conversion ◽

Modeling Approach ◽

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