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A Bottleneck Auto-Encoder for F0 Transformations on Speech and Singing Voice
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In: Information; Volume 13; Issue 3; Pages: 102 (2022)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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Voice Conversion Challenge 2020 -- submitted waveforms v1.0.0 ...
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Abstract:
Voice conversion (VC) is a technique to transform a speaker identity included in a source speech waveform into a different one while preserving linguistic information of the source speech waveform. In 2020, we launched the third edition of VCC, the VCC 2020 [1]. This repository contains all converted audios submitted by 33 participating teams. The training and evaluation dataset can be found at [2]. The crowdsourcing listening test related data and results can be found at [3]. The summary, subjective evluation analysis and objective assessment of this challenge can be found in [1] and [4]. [1] Yi Zhao, Wen-Chin Huang, Xiaohai Tian, Junichi Yamagishi, Rohan Kumar Das, Tomi Kinnunen, Zhenhua Ling, and Tomoki Toda. "Voice conversion challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion" Proc. Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020, 80-98, DOI: 10.21437/VCC_BC.2020-14. [2] Yi Zhao, Wen-Chin Huang, Xiaohai Tian, Junichi Yamagishi,Rohan Kumar Das, ...
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Keyword:
speech; voice conversion
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URL: https://zenodo.org/record/4757529 https://dx.doi.org/10.5281/zenodo.4757529
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Voice Conversion Challenge 2020 -- submitted waveforms v1.0.0 ...
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Generative Adversarial Networks for Cross-Lingual Voice Conversion
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Effects of Sinusoidal Model on Non-Parallel Voice Conversion with Adversarial Learning
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In: Applied Sciences ; Volume 11 ; Issue 16 (2021)
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Evaluating Voice Conversion-based Privacy Protection against Informed Attackers
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In: ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing ; https://hal.inria.fr/hal-02355115 ; ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, May 2020, Barcelona, Spain. pp.2802-2806 (2020)
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Introducing the VoicePrivacy initiative
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In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-02562199 ; INTERSPEECH 2020, Oct 2020, Shanghai, China (2020)
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Design Choices for X-vector Based Speaker Anonymization
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In: INTERSPEECH 2020 ; https://hal.archives-ouvertes.fr/hal-02610447 ; INTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China (2020)
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A comparative study of speech anonymization metrics
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In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-02907918 ; INTERSPEECH 2020, Oct 2020, Shanghai, China (2020)
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СИСТЕМА ПРИЧАСТИЙ В ОСЕТИНСКОМ ЯЗЫКЕ В СОПОСТАВЛЕНИИ С РУССКИМ ЯЗЫКОМ ... : SYSTEM OF PARTICIPLES IN THE OSSETIAN LANGUAGE COMPARED TO THE RUSSIAN LANGUAGE. ...
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