Zobrazeno 1 - 10
of 14
pro vyhledávání: '"G710 Speech and Natural Language Processing"'
Following the success of Natural Language Processing (NLP) transformers pretrained via self-supervised learning, similar models have been proposed recently for speech processing such as Wav2Vec2, HuBERT and UniSpeech-SAT. An interesting yet unexplore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6d2d9d009d532f7c8e756a9d4f8cdc5
https://eprints.lincoln.ac.uk/id/eprint/52689/1/Audio_Embedding-Aware_Dialogue_Policy_Learning.pdf
https://eprints.lincoln.ac.uk/id/eprint/52689/1/Audio_Embedding-Aware_Dialogue_Policy_Learning.pdf
Publikováno v:
Neurocomputing. 433:300-309
Current approaches that generate text from linked data for complex real-world domains can face problems including rich and sparse vocabularies as well as learning from examples of long varied sequences. In this article, we propose a novel divide-and-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4745b884edb1f16fdffd077a1df50e5
https://doi.org/10.1016/j.neucom.2020.12.083
https://doi.org/10.1016/j.neucom.2020.12.083
Autor:
Raza, Sajjadali, Cuayahuitl, Heriberto
Publikováno v:
International Journal of Speech Technology.
Existing literature on speech activity detection (SAD) highlights different approaches within neural networks but does not provide a comprehensive comparison to these methods. This is important because such neural approaches often require hardware-in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5de324f47f3f3bcf163dffb09975b5b2
https://doi.org/10.1007/s10772-021-09956-3
https://doi.org/10.1007/s10772-021-09956-3
Autor:
Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria
Deep reinforcement learning (DRL) is poised to revolutionise the field of artificial intelligence (AI) by endowing autonomous systems with high levels of understanding of the real world. Currently, deep learning (DL) is enabling DRL to effectively so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c77c8f0dc5b0825e1b4a95183e8556e5
Autor:
Nastasiia Plakhotnyk, Mykola Makarchuk, Sergii Tukaiev, I. Zyma, Annemieke J. M. van den Tol, Volodymyr Rizun, Yurii Havrylets
Publikováno v:
Актуальні питання масової комунікації, Iss 27, Pp 51-63 (2020)
This study examines language-specific characteristics of the electric activity in bilinguals’ brains. The aim of this study was to evaluate language-specific characteristics of functional connectivity related to the perception of verbal information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbaff0e0cd0ef12509beaf030e829083
Autor:
Heriberto Cuayáhuitl, Seunghak Yu, Jihie Kim, Sungja Choi, Donghyeon Lee, Seonghan Ryu, Hyung-Tak Choi, In-Chul Hwang, Satish Reddy Indurthi, Cho Yongjin
Trainable chatbots that exhibit fluent and human-like conversations remain a big challenge in artificial intelligence. Deep Reinforcement Learning (DRL) is promising for addressing this challenge, but its successful application remains an open questi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::224be37d36f306dee3860ba99062a01f
http://arxiv.org/abs/1908.10422
http://arxiv.org/abs/1908.10422
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 4:1-30
Conversational systems and robots that use reinforcement learning for policy optimization in large domains often face the problem of limited scalability. This problem has been addressed either by using function approximation techniques that estimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc1f8fde4cf46098c18ea48bc869a62c
https://doi.org/10.1145/2659003
https://doi.org/10.1145/2659003
Autor:
Heriberto Cuayáhuitl, Nina Dethlefs, Hendrik Zender, Matthew Marge, Lutz Frommberger, Antoine Raux
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 4:1-6
This special issue highlights research articles that apply machine learning to robots and other systems that interact with users through more than one modality, such as speech, gestures, and vision. For example, a robot may coordinate its speech with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6ede3fda9665ead9546a5f3f36eb012
https://doi.org/10.1145/2670539
https://doi.org/10.1145/2670539
Publikováno v:
Robotics and Autonomous Systems. 56:493-502
We present an approach for creating conceptual representations of human-made indoor environments using mobile robots. The concepts refer to spatial and functional properties of typical indoor environments. Following different findings in spatial cogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41cdabcefbeedc0c223f7404f0aeb49a
https://doi.org/10.1016/j.robot.2008.03.007
https://doi.org/10.1016/j.robot.2008.03.007
This special issue includes research articles which apply spoken language processing to robots that interact with human users through speech, possibly combined with other modalities. Robots that can listen to human speech, understand it, interact acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::983184f51854733db03c220c2517fcc6