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A Bottleneck Auto-Encoder for F0 Transformations on Speech and Singing Voice
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In: ISSN: 2078-2489 ; Information ; https://hal.archives-ouvertes.fr/hal-03599085 ; Information, MDPI, 2022, 13 (3), pp.102. ⟨10.3390/info13030102⟩ (2022)
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Neural Vocoding for Singing and Speaking Voices with the Multi-Band Excited WaveNet
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In: ISSN: 2078-2489 ; Information ; https://hal.archives-ouvertes.fr/hal-03599076 ; Information, MDPI, 2022, 13 (3), pp.103. ⟨10.3390/info13030103⟩ (2022)
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Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
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In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022)
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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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Etude de cas de pathologies de la parole dans le cadre de la prise en charge orthophonique
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In: https://hal.archives-ouvertes.fr/hal-03568182 ; 2022 (2022)
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Differentially private speaker anonymization
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In: https://hal.inria.fr/hal-03588932 ; 2022 (2022)
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Automatic assessment of oral readings of young pupils
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-03585934 ; Speech Communication, Elsevier : North-Holland, 2022, 138, pp.67-79. ⟨10.1016/j.specom.2022.01.008⟩ ; https://www.sciencedirect.com/science/article/pii/S0167639322000164?via%3Dihub (2022)
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КИТАЙСКИЙ ОБРАЗ КУЛЬТУРНОГО «ДРУГОЙ» НА ПРИМЕРЕ ПРОИЗВЕДЕНИЯ МОЭМА ... : THE CHINESE IMAGE OF THE CULTURAL “OTHER” ON THE EXAMPLE OF MAUGHAM’S WORK ...
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Unsupervised quantification of entity consistency between photos and text in real-world news ...
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Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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ВЕТЕР КАК ЛИНГВОКУЛЬТУРНЫЙ СИМВОЛ В РУССКОМ И АНГЛИЙСКОМ ЯЗЫКОВОМ СОЗНАНИИ ... : THE WIND AS A LINGUISTIC AND CULTURAL SYMBOL IN THE RUSSIAN AND ENGLISH WORLDVIEW ...
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Карасик, В.И.. - : Государственное автономное образовательное учреждение высшего образования города Москвы «Московский городской педагогический университет», 2022
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ОБРАЗ ГОРОДА В «БЕЛОЙ ГВАРДИИ» МИХАИЛА БУЛГАКОВА И В «ГОРОДЕ» ВАЛЕРЬЯНА ПИДМОГИЛЬНОГО ... : THE IMAGE OF THE CITY IN “THE WHITE GUARD” BY MIKHAIL BULGAKOV AND IN “THE CITY” BY VALERYAN PIDMOGILNY ...
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Бортновски, А.. - : Государственное автономное образовательное учреждение высшего образования города Москвы «Московский городской педагогический университет», 2022
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XITOY LINGVOMADANIYATIDA GENDER TUSHUNCHASI ... : THE CONCEPT OF GENDER IN CHINESE LINGUOCULTURE ...
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A Review of the Asymmetric Numeral System and Its Applications to Digital Images
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In: Entropy; Volume 24; Issue 3; Pages: 375 (2022)
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Abstract:
The Asymmetric Numeral System (ANS) is a new entropy compression method that the industry has highly valued in recent years. ANS is valued by the industry precisely because it captures the benefits of both Huffman Coding and Arithmetic Coding. Surprisingly, compared with Huffman and Arithmetic coding, systematic descriptions of ANS are relatively rare. In 2017, JPEG proposed a new image compression standard—JPEG XL, which uses ANS as its entropy compression method. This fact implies that the ANS technique is mature and will play a kernel role in compressing digital images. However, because the realization of ANS involves combination optimization and the process is not unique, only a few members in the compression academia community and the domestic industry have noticed the progress of this powerful entropy compression approach. Therefore, we think a thorough overview of ANS is beneficial, and this idea brings our contributions to the first part of this work. In addition to providing compact representations, ANS has the following prominent feature: just like its Arithmetic Coding counterpart, ANS has Chaos characteristics. The chaotic behavior of ANS is reflected in two aspects. The first one is that the corresponding compressed output will change a lot if there is a tiny change in the original input; moreover, the reverse is also applied. The second is that ANS compressing an image will produce two intertwined outcomes: a positive integer (aka. state) and a bitstream segment. Correct ANS decompression is possible only when both can be precisely obtained. Combining these two characteristics helps process digital images, e.g., art collection images and medical images, to achieve compression and encryption simultaneously. In the second part of this work, we explore the characteristics of ANS in depth and develop its applications specific to joint compression and encryption of digital images.
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Keyword:
arithmetic coding; Asymmetric Numeral System; entropy encoding; Huffman coding; joint image compression and encryption
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URL: https://doi.org/10.3390/e24030375
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Understanding Dilated Mathematical Relationship between Image Features and the Convolutional Neural Network’s Learnt Parameters
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In: Entropy; Volume 24; Issue 1; Pages: 132 (2022)
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All About Eve de Mankiewicz ... : Sortir du cadre du portrait ...
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Psycholinguistic factors of formation associative perception of the brand ...
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Psycholinguistic factors of formation associative perception of the brand ...
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Principles of Learning in Multitask Settings: A Probabilistic Perspective ...
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Principles of Learning in Multitask Settings: A Probabilistic Perspective ...
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