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1
An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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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2
Speech Perception and Implementation in a Virtual Medical Assistant
In: 6. ICAART – 14th International Conference on Agents and Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-03621550 ; 6. ICAART – 14th International Conference on Agents and Artificial Intelligence, Feb 2022, Vienna, Austria (2022)
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3
Computational models of disfluencies : fillers and discourse markers in spoken language understanding ; Modèles computationnels des disfluences dans le traitement de la parole
Dinkar, Tanvi. - : HAL CCSD, 2022
In: https://tel.archives-ouvertes.fr/tel-03653211 ; Computer science. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT001⟩ (2022)
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4
Assessing the impact of OCR noise on multilingual event detection over digitised documents
In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-03635985 ; International Journal on Digital Libraries, Springer Verlag, 2022, ⟨10.1007/s00799-022-00325-2⟩ (2022)
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5
Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022)
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6
ClassSPLOM -- A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data ...
Aupetit, Michael; Ali, Ahmed. - : arXiv, 2022
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7
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals ...
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8
TFS Recognition: Investigating MPH]{Thai Finger Spelling Recognition: Investigating MediaPipe Hands Potentials ...
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9
A Feasibility Study of Answer-Agnostic Question Generation for Education ...
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10
Neural Topic Modeling of Psychotherapy Sessions ...
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11
Reproducible Subjective Evaluation ...
Morrison, Max; Tang, Brian; Tan, Gefei. - : arXiv, 2022
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12
Captivate! Contextual Language Guidance for Parent-Child Interaction ...
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13
Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem ...
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14
Phonetic accommodation of human interlocutors in the context of human-computer interaction ...
Gessinger, Iona. - : Universität des Saarlandes, 2022
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15
Data for: Prosodic alignment toward emotionally expressive speech: Comparing human and Alexa model talkers ...
Cohn, Michelle. - : Mendeley, 2022
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16
AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review ...
Abstract: This paper presents a systematic literature review of published studies on AI-based automated speech therapy tools for persons with speech sound disorders (SSD). The COVID-19 pandemic has initiated the requirement for automated speech therapy tools for persons with SSD making speech therapy accessible and affordable. However, there are no guidelines for designing such automated tools and their required degree of automation compared to human experts. In this systematic review, we followed the PRISMA framework to address four research questions: 1) what types of SSD do AI-based automated speech therapy tools address, 2) what is the level of autonomy achieved by such tools, 3) what are the different modes of intervention, and 4) how effective are such tools in comparison with human experts. An extensive search was conducted on digital libraries to find research papers relevant to our study from 2007 to 2022. The results show that AI-based automated speech therapy tools for persons with SSD are increasingly ... : 19, 12 ...
Keyword: Artificial Intelligence cs.AI; FOS Computer and information sciences; Human-Computer Interaction cs.HC
URL: https://arxiv.org/abs/2204.10325
https://dx.doi.org/10.48550/arxiv.2204.10325
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17
Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis ...
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18
Multi-Mosaics: Corpus Summarizing and Exploration using multiple Concordance Mosaic Visualisations ...
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19
Wavebender GAN: An architecture for phonetically meaningful speech manipulation ...
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20
Mutual Understanding in Situated Interactions with Conversational User Interfaces : Theory, Studies, and Computation
Kontogiorgos, Dimosthenis. - : KTH, Tal-kommunikation, 2022. : Stockholm, 2022
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