has been cited by the following article(s):
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[1]
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Developing Sparse Representations for Anchor-Based Voice Conversion
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2021 |
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[2]
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CycleGAN を用いたクロスリンガル声質変換
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2018 |
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[3]
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A comparative study of voice conversion techniques: A review
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2017 |
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[4]
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An overview of voice conversion systems
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Speech Communication,
2017 |
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[5]
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A unified factors analysis framework for discriminative feature extraction and object recognition
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Mathematical Problems in Engineering,
2016 |
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[6]
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Tied factors analysis for high-dimensional image feature extraction and recognition application
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Pattern Analysis and Applications,
2016 |
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[7]
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A Parametric Approach for Efficient Speech Storage, Flexible Synthesis and Voice Conversion
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Tampereen teknillinen yliopisto. Julkaisu-Tampere University of Technology. Publication,
2013 |
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[8]
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Jani Nurminen1, Hanna Silén2, Victor Popa2
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SPEECH ENHANCEMENT, MODELING AND RECOGNITION–ALGORITHMS AND APPLICATIONS,
2012 |
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[9]
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Local linear transformation for voice conversion
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Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on. IEEE,
2012 |
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[10]
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Techniques for Spectral Voice Conversion
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Tampereen teknillinen yliopisto. Julkaisu-Tampere University of Technology. Publication,
2012 |
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[11]
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Voice conversion
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Speech enhancement, modeling and recognition-algorithms and applications,
2012 |
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[1]
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A comparative study of voice conversion techniques: A review
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP),
2017
DOI:10.1109/ATSIP.2017.8075528
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[2]
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A Unified Factors Analysis Framework for Discriminative Feature Extraction and Object Recognition
Mathematical Problems in Engineering,
2016
DOI:10.1155/2016/9347838
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[3]
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Local linear transformation for voice conversion
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
2012
DOI:10.1109/ICASSP.2012.6288922
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