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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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
In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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3
The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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4
Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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5
The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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6
Enhancing Speech Privacy with Slicing
In: https://hal.inria.fr/hal-03369137 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
Abstract: Supplementary material to the paper "The VoicePrivacy 2020 Challenge: Results and findings" (https://hal.archives-ouvertes.fr/hal-03332224) submitted to CSL. ; The VoicePrivacy 2020 Challenge focuses on developing anonymization solutions for speech technology. This report complements the summary results and analyses presented by Tomashenko et al. (2021). After quickly recalling the challenge design and the submitted anonymization systems, we provide more detailed results and analyses. First, we present objective evaluation results for the primary challenge metrics and for alternative metrics and attack models, and we compare them with each other. Second, we present subjective evaluation results for speaker verifiability, speech naturalness, and speech intelligibility. Finally, we compare these objective and subjective evaluation results with each other.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; anonymization; attack model; automatic speech recognition; metrics; privacy; speaker verification; speech synthesis; utility; voice conversion
URL: https://hal.archives-ouvertes.fr/hal-03335126v3/document
https://hal.archives-ouvertes.fr/hal-03335126v3/file/VoicePrivacyCSL_paper_report_hal2_.pdf
https://hal.archives-ouvertes.fr/hal-03335126
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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9
The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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10
Evaluating Voice Conversion-based Privacy Protection against Informed Attackers
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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11
Introducing the VoicePrivacy initiative
In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-02562199 ; INTERSPEECH 2020, Oct 2020, Shanghai, China (2020)
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12
Addressing Text-Dependent Speaker Verification Using Singing Speech
In: Applied Sciences ; Volume 9 ; Issue 13 (2019)
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13
Phoneme specific modelling and scoring techniques for anti spoofing system
Suthokumar, Gajan; Sriskandaraja, Kaavya; Sethu, Vidhyasaharan. - : Institute of Electrical and Electronics Engineers, 2019
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14
The 2016 NIST Speaker Recognition Evaluation
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15
Representation, classification and information fusion for robust and efficient multimodal human states recognition ...
Li, Ming. - : University of Southern California Digital Library (USC.DL), 2015
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16
OVM – Otázky Václava Moravce
Šmídl, Luboš; Pražák, Aleš. - : University of West Bohemia, Department of Cybernetics, 2013
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17
Czech Parliament Meetings
Pražák, Aleš; Šmídl, Luboš. - : University of West Bohemia, Department of Cybernetics, 2012
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18
Residual Phase Cepstrum Coefficients with Application to Cross-lingual Speaker Verification
In: Electrical and Computer Engineering Faculty Research and Publications (2012)
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19
How is individuality expressed in voice? An introduction to speech production & description for speaker classification
In: In: Müller, C, (ed.) Speaker Classification I. (1 - 20). Springer Verlag: Berlin. (2007) (2007)
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20
Automatic speaker verification on site and by telephone: methods, applications and assessment
Melin, Håkan. - : KTH, Tal, musik och hörsel, TMH, 2006. : Stockholm : KTH, 2006
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