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Evaluation of Speaker Anonymization on Emotional Speech ; Analyse de l'anonymisation du locuteur sur de la parole émotionnelle
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In: JEP2022 - Journées d'Études sur la Parole ; https://hal.archives-ouvertes.fr/hal-03636737 ; JEP2022 - Journées d'Études sur la Parole, Jun 2022, Île de Noirmoutier, France (2022)
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A Study of F0 Modification for X-Vector Based Speech Pseudonymization Across Gender
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In: PPAI 2021 - The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-02995862 ; PPAI 2021 - The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence, Feb 2021, Virtual, China (2021)
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Language recognition on unknown conditions: the LORIA-Inria-MULTISPEECH system for AP20-OLR Challenge
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In: Interspeech ; https://hal.archives-ouvertes.fr/hal-03228823 ; Interspeech, Aug 2021, Brno, Czech Republic (2021)
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Language recognition on unknown conditions: the LORIA-Inria-MULTISPEECH system for AP20-OLR Challenge
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In: https://hal.archives-ouvertes.fr/hal-03228823 ; 2021 (2021)
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Adapting Language Models When Training on Privacy-Transformed Data
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In: INTERSPEECH 2021 ; https://hal.inria.fr/hal-03189354 ; 2021 (2021)
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Abstract:
Submitted to INTERSPEECH 2021 ; International audience ; In recent years, voice-controlled personal assistants have revolutionized the interaction with smart devices and mobile applications. These dialogue tools are then used by system providers to improve and retrain the language models (LMs). Each spoken message reveals personal information, hence, it is necessary to remove the private data from the input utterances. However, this may harm the LM training because privacy-transformed data is unlikely to match the test distribution. This paper aims to fill the gap by focusing on the adaptation of LM initially trained on privacy-transformed utterances. Our data sanitization process relies on named-entity recognition. We propose an LM adaptation strategy over the private data with minimum losses. Class-based modeling is an effective approach to overcome data sparsity in the context of n-gram model training. On the other hand, neural LMs can handle longer contexts which can yield better predictions. Our methodology combines the predictive power of class-based models and the generalization capability of neural models together. With privacy transformation, we have a relative 11% word error rate (WER) increase compared to an LM trained on the clean data. Despite the privacy-preserving, we can still achieve comparable accuracy. Empirical evaluations attain a relative WER improvement of 8% over the initial model.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; class-based language modeling; language model adaptation; privacy-preserving learning; speech recognition
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URL: https://hal.inria.fr/hal-03189354/file/Paper_1854.pdf
https://hal.inria.fr/hal-03189354
https://hal.inria.fr/hal-03189354/document
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| 6 |
Evaluation of Speaker Anonymization on Emotional Speech
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In: 1st ISCA Symposium on Security and Privacy in Speech Communication ; https://hal.inria.fr/hal-03377797 ; 1st ISCA Symposium on Security and Privacy in Speech Communication, Nov 2021, Virtual, Germany (2021)
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| 7 |
Achieving Multi-Accent ASR via Unsupervised Acoustic Model Adaptation
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In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-02907929 ; INTERSPEECH 2020, Oct 2020, Shanghai, China (2020)
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| 8 |
Duration modelling and evaluation for Arabic statistical parametric speech synthesis
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In: ISSN: 1380-7501 ; EISSN: 1573-7721 ; Multimedia Tools and Applications ; https://hal.inria.fr/hal-03007287 ; Multimedia Tools and Applications, Springer Verlag, 2020, ⟨10.1007/s11042-020-09901-7⟩ (2020)
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| 9 |
Speaker information modification in the VoicePrivacy 2020 toolchain
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In: https://hal.archives-ouvertes.fr/hal-02995855 ; [Research Report] INRIA Nancy, équipe Multispeech; LIUM - Laboratoire d'Informatique de l'Université du Mans. 2020 (2020)
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| 10 |
Correlation between prosody and pragmatics: case study of discourse markers in French and English
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In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-02968475 ; INTERSPEECH 2020, Oct 2020, Shanghai, China (2020)
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| 11 |
Extractive Text-Based Summarization of Arabic videos: Issues, Approaches and Evaluations
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In: ICALP: International Conference on Arabic Language Processing ; https://hal.archives-ouvertes.fr/hal-02314238 ; ICALP: International Conference on Arabic Language Processing, Oct 2019, Nancy, France. pp.65-78, ⟨10.1007/978-3-030-32959-4_5⟩ (2019)
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F0 modeling using DNN for Arabic parametric speech synthesis
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In: INNSBDDL 2019 - INNS Big Data and Deep Learning ; https://hal.inria.fr/hal-02177496 ; INNSBDDL 2019 - INNS Big Data and Deep Learning, Apr 2019, Sestri Levante, Italy (2019)
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| 13 |
A Fine-grained Multilingual Analysis Based on the Appraisal Theory: Application to Arabic and English Videos
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In: ICALP: International Conference on Arabic Language Processing ; https://hal.archives-ouvertes.fr/hal-02314244 ; ICALP: International Conference on Arabic Language Processing, Oct 2019, Nancy, France. pp.49-61, ⟨10.1007/978-3-030-32959-4_4⟩ (2019)
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| 14 |
Machine Translation on a parallel Code-Switched Corpus
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In: Canadian AI 2019 - 32nd Conference on Canadian Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-02106010 ; Canadian AI 2019 - 32nd Conference on Canadian Artificial Intelligence, May 2019, Ontario, Canada (2019)
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| 15 |
Summarizing videos into a target language: Methodology, architectures and evaluation
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In: ISSN: 1064-1246 ; EISSN: 1875-8967 ; Journal of Intelligent and Fuzzy Systems ; https://hal.archives-ouvertes.fr/hal-02271287 ; Journal of Intelligent and Fuzzy Systems, IOS Press, 2019, 1, pp.1-12. ⟨10.3233/JIFS-179350⟩ (2019)
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| 16 |
Speech Processing and Prosody
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In: TSD 2019 - 22nd International Conference of Text, Speech and Dialogue ; https://hal.inria.fr/hal-02177210 ; TSD 2019 - 22nd International Conference of Text, Speech and Dialogue, Sep 2019, Ljubljana, Slovenia (2019)
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| 17 |
Can prosody meet pragmatics? Case of discourse particles in French
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In: ICPhS 2019 - International Congress of Phonetic Sciences ; https://hal.inria.fr/hal-02177202 ; ICPhS 2019 - International Congress of Phonetic Sciences, Aug 2019, Melbourne, Australia (2019)
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Adaptation of speech recognition vocabularies for improved transcription of YouTube videos
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In: ISSN: 2351-8715 ; Journal of International Science and General Applications ; https://hal.archives-ouvertes.fr/hal-01873801 ; Journal of International Science and General Applications, ISGA, 2018, 1 (1), pp.1-9 ; http://journal-isga.ma/ (2018)
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| 19 |
Duration modeling using DNN for Arabic speech synthesis
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In: 9th International Conference on Speech Prosody ; https://hal.inria.fr/hal-01889917 ; 9th International Conference on Speech Prosody, Jun 2018, Poznań, Poland (2018)
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| 20 |
A Proposed Methodology for Subjective Evaluation of Video and Text Summarization
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In: MISSI 2018 - 11th edition of the International Conference on Multimedia and Network Information Systems ; https://hal.archives-ouvertes.fr/hal-01873685 ; MISSI 2018 - 11th edition of the International Conference on Multimedia and Network Information Systems, Sep 2018, Wrocław, Poland. pp.396-404, ⟨10.1007/978-3-319-98678-4_40⟩ (2018)
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