Охота на электроовец. Большая книга искусственного интеллекта - Сергей Сергеевич Марков

L, Sun G. (2018). Squeeze-and-Excitation Networks / IEEE Conference on Computer Vision and Pattern Recognition // https://github.com/hujie-frank/SENet

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Fei-Fei L., Deng J. (2017). ImageNet: Where have we been? Where are we going? // http://image-net.org/challenges/talks_2017/imagenet_ilsvrc2017_v1.0.pdf

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Reynolds M. (2017). New computer vision challenge wants to teach robots to see in 3D / New Scientist, Iss. 3121 // https://www.newscientist.com/article/2127131-new-computer-vision-challenge-wants-to-teach-robots-to-see-in-3d/

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Fei-Fei L., Deng J. (2017). ImageNet: Where have we been? Where are we going? // http://image-net.org/challenges/talks_2017/imagenet_ilsvrc2017_v1.0.pdf

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Medical Image Net: A petabyte-scale, cloud-based, multi-institutional, searchable, open repository of diagnostic imaging studies for developing intelligent image analysis systems // http://langlotzlab.stanford.edu/projects/medical-image-net/

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SpaceNet // https://spacenet.ai/datasets/

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Heilbron F. C., Escorcia V., Ghanem B., Niebles J. C. (2015). ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding / Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 961—970 // http://activity-net.org/

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Chang S. F., Liu D., Ye G., Li Y., Xu H., Liu H., Wang D., Lin T., Chen Q., Shou Z. A Large Scale Structured Concept Library // http://eventnet.cs.columbia.edu/index.html

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Fei-Fei L., Deng J. (2017). ImageNet: Where have we been? Where are we going? // http://image-net.org/challenges/talks_2017/imagenet_ilsvrc2017_v1.0.pdf

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Tan M., Le Q. V. (2019). EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling / Google AI Blog // https://ai.googleblog.com/2019/05/efficientnet-improving-accuracy-and.html

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Lin T.-Y., Dollár P., Girshick R., He K., Hariharan B., Belongie S. (2016). Feature Pyramid Networks for Object Detection // https://arxiv.org/abs/1612.03144

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Cubuk E. D., Zoph B., Mane D., Vasudevan V., Le Q. V. (2018). AutoAugment: Learning Augmentation Policies from Data // https://arxiv.org/abs/1805.09501

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Cubuk E. D., Zoph B. (2018). Improving Deep Learning Performance with AutoAugment / Google AI Blog // https://ai.googleblog.com/2018/06/improving-deep-learning-performance.html

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Foret P., Kleiner A., Mobahi H., Neyshabur B. (2020). Sharpness-Aware Minimization for Efficiently Improving Generalization // https://arxiv.org/abs/2010.01412

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Kapitanov A., Makhlyarchuk A., Kvanchiani K. (2022). HaGRID - HAnd Gesture Recognition Image Dataset // https://arxiv.org/abs/2206.08219

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Kapitanov A., Kvanchiani K., Nagaev A., Petrova E. (2023). Slovo: Russian Sign Language Dataset // https://arxiv.org/abs/2305.14527

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Ronneberger O., Fischer P., Brox T. (2015). U-Net: Convolutional Networks for Biomedical Image Segmentation // https://arxiv.org/abs/1505.04597

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Huang S., Hui T., Liu S., Li G., Wei Y., Han J., Liu L., Li B. (2020). Referring Image Segmentation via Cross-Modal Progressive Comprehension // https://arxiv.org/abs/2010.00514

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Nagy G. (1963). Report No. 5. System and circuit designs for the Tobermory perceptron (Preliminary report on Phase I) // https://blogs.umass.edu/brain-wars/files/2016/03/nagy-1963-tobermory-perceptron.pdf

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* Дискретное преобразование Фурье — это операция, которая позволяет разложить функцию, представленную набором её значений, взятых с некоторым шагом (в нашем случае — амплитуд звуковой волны), в виде разложения элементарных гармонических колебаний с разными частотами (подобно тому как музыкальный аккорд можно разложить на отдельные звуковые колебания, соответствующие составляющим его нотам). Быстрое преобразование Фурье — алгоритм ускоренного вычисления дискретного преобразования Фурье.

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Stevens S. S., Volkmann J., Newman E. B. (1937). A Scale for the Measurement of the Psychological Magnitude Pitch / The Journal of the Acoustical Society of America, Vol. 8(3), pp. 185—190 // https://doi.org/10.1121/1.1915893

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O'Shaughnessy D. (1987). Speech communication: human and machine. Addison-Wesley // https://books.google.ru/books?id=aUhiAAAAMAAJ

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Dixon Ward W. (1970). Musical Perception / Tobias J. V. (1970). Foundations of Modern Auditory Theory. Academic Press // https://books.google.ru/books?id=Uqw_uwEACAAJ

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Wood S. (2005). What are formants? / Beginners guide to Praat // https://person2.sol.lU. Se/SidneyWood/praate/whatform.html

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Володин И. А., Володина Е. В. (2006). Скромное очарование нелинейностей. О скулении собак, голосе Высоцкого, алтайском пении, и не только / Природа. №2, 2006 // http://vivovoco.astronet.ru/VV/JOURNAL/NATURE/02_06/VOICE.HTM

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Bogert B. P., Healy J. R., Tukey J. W. (1963). The Quefrency Analysis of Time Series for Echoes: Cepstrum, Pseudo-Autocovariance, Cross-Cepstrum, and Saphe Cracking / Proceedings of the Symposium on Time Series Analysis, 1963, pp. 209-243.

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Howarth R. J. (2017). Dictionary of Mathematical Geosciences: With Historical Notes. Springer // https://books.google.ru/books?id=MNwlDwAAQBAJ

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Oppenheim A. V., Schafer R. W. (2004). Dsp history — From frequency to quefrency: a history of the cepstrum / IEEE Signal Processing Magazine, Vol. 21(5), pp. 95—106 // https://doi.org/10.1109/msp.2004.1328092

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Waslo B. (1994). Reflecting on Echoes and the Cepstrum: A look at Quefrency Alanysis and Hearing / Speaker Builder, August 1994 // http://www.libinst.com/cepst.htm

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Silvia M. T., Robinson E. A. (1978). Use of the kepstrum in signal analysis / Geoexploration, Vol. 16 (1—2), pp. 55—73 // https://doi.org/10.1016/0016-7142(78)90007-8

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Silvia M. T., Robinson E. A. (1979). Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas. Elsevier // https://books.google.ru/books?id=Ecgfjh-MpU0C

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Resource: Russian Speech Database (2014) / International standard language resource number // http://www.islrn.org/resources/428-147-317-182-1/

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Wil (2014). How many words are in the English language? / EF English Live // https://englishlive.ef.com/blog/language-lab/many-words-english-language/

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How many words are there in English? / Merriam-Webster.com Dictionary, Merriam-Webster // https://www.merriam-webster.com/help/faq-how-many-english-words

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Wil (2014). How many words are in the English language? / EF English Live // https://englishlive.ef.com/blog/language-lab/many-words-english-language/

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Wu S., Cotterell R., O’Donnell T. J. (2019). Morphological Irregularity Correlates with