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The Ontology of Modernist Character: Deconstructing the Human in the British Novel, 1899-1934 ...
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The Impact of Game Elements on Learner Motivation: Influence of Initial Motivation and Player Profile
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In: EISSN: 1939-1382 ; IEEE Transactions on Learning Technologies ; https://hal.univ-lyon2.fr/hal-03579428 ; IEEE Transactions on Learning Technologies, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TLT.2022.3153239⟩ (2022)
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Vocal Expression of Affective States in Spontaneous Laughter reveals the Bright and the Dark Side of Laughter
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How Spanish speakers express norms using generic person markers
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In: Psychology Faculty Research and Scholarship (2022)
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Political economy of smart cities and the Human Rights: from corporative technocracy to sensibility
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In: Revista de Direito Internacional; v. 19, n. 1 (2022): International Law and climate litigation ; 2237-1036 ; 2236-997X (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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Speech Perception and Implementation in a Virtual Medical Assistant
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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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A Novel Multimodal Approach for Studying the Dynamics of Curiosity in Small Group Learning
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In: https://hal.inria.fr/hal-03536340 ; 2022 (2022)
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Barriers and Facilitators to the Implementation of a Community Doula Program for Black and Pacific Islander Pregnant People in San Francisco: Findings from a Partnered Process Evaluation.
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In: Maternal and child health journal, vol 26, iss 4 (2022)
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From Disrupted Classrooms to Human-Machine Collaboration? The Pocket Calculator, Google Translate, and the Future of Language Education
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In: L2 Journal, vol 14, iss 1 (2022)
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| 11 |
Speaking Style Variability in Speaker Discrimination by Humans and Machines
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Abstract:
A speaker's voice constantly varies in everyday situations, such as when talking to a friend, reading aloud, talking to pets, or narrating a happy incident. These changes in speaking style affect human and machine abilities to distinguish speakers based on their voice. This dissertation studies the effects of speaking style variability on speaker discrimination performance by humans and machines.We compare human speaker discrimination performance for read speech versus casual conversations. Listeners perform better when stimuli are style-matched, particularly in read speech -- read speech trials. They perform the worst in style-mismatched conditions. Moderate style variability affects the "same speaker" task more than the "different speaker" task. The speakers who are "easy" or "hard" to "tell together" are not the same as those who are "easy" or "hard" to "tell apart." Analysis of acoustic variability suggests that listeners find it easier to "tell speakers together" when they rely on speaker-specific idiosyncrasies and that they "tell speakers apart" based on their relative positions within a shared acoustic space.The effects of style variability on automatic speaker verification (ASV) systems are systematically analyzed using the UCLA Speaker Variability database, which comprises multiple speaking styles per speaker. The performance is better when enrollment and test utterances are of the same style, but it substantially degrades when styles are mismatched. We hypothesize that between-frame entropy can capture style-related spectral and temporal variations. We propose an entropy-based variable frame rate (VFR) technique to address style variability in two different approaches: data augmentation and self-attentive conditioning. Both approaches improve performance in style-mismatch scenarios and are comparable in performance.Furthermore, humans and machines seem to employ different approaches to speaker discrimination. In an attempt to improve ASV performance in the presence of style variability, insights learnt from the human speaker perception experiments are used to design a training loss function, referred to as "CllrCE loss". CllrCE loss focuses on both speaker-specific idiosyncrasies and relative acoustic distances between the speakers to train the ASV system. This loss function improves ASV performance in case of style variability, especially in the case of moderate style variations from conversational speech.
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Keyword:
Acoustic space analysis; Computer engineering; Electrical engineering; Human speaker perception; Self-attention conditioning; Speaker verification; Speaking style; Variable frame rate
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URL: https://escholarship.org/uc/item/3zh346jm
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| 12 |
Computational models of disfluencies : fillers and discourse markers in spoken language understanding ; Modèles computationnels des disfluences dans le traitement de la parole
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In: https://tel.archives-ouvertes.fr/tel-03653211 ; Computer science. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT001⟩ (2022)
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| 13 |
Genetic Neural Architecture Search for automatic assessment of human sperm images
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In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal.archives-ouvertes.fr/hal-03585035 ; Expert Systems with Applications, Elsevier, 2022 (2022)
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Assessing the impact of OCR noise on multilingual event detection over digitised documents
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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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| 15 |
Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
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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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European Language Equality - Report on the French Language
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In: https://hal.archives-ouvertes.fr/hal-03637776 ; [Research Report] CNRS - LISN. 2022 (2022)
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Neural MT and Human Post-editing : a Method to Improve Editorial Quality
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In: ISSN: 1134-8941 ; Interlingüística ; https://halshs.archives-ouvertes.fr/halshs-03603590 ; Interlingüística, Alacant [Spain] : Universitat Autònoma de Barcelona, 2022, pp.15-36 (2022)
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| 18 |
Genetic continuity of Indo-Iranian speakers since the Iron Age in southern Central Asia
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In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal.archives-ouvertes.fr/hal-03566556 ; Scientific Reports, Nature Publishing Group, 2022, 12, pp.733. ⟨10.1038/s41598-021-04144-4⟩ (2022)
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Impact of gender transition on sexuality and diversity of practices ; Impact of gender transition on sexuality and diversity of practices: a qualitative analysis of reddit discussions
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In: European Society for Sexual Medicine ESSM Congress 2022 ; https://hal.archives-ouvertes.fr/hal-03581962 ; European Society for Sexual Medicine ESSM Congress 2022, Feb 2022, Rotterdam, Netherlands. 2022 (2022)
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Surnames in south-eastern France: structure of the rural population during the 19th century through isonymy
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In: ISSN: 0021-9320 ; EISSN: 1469-7599 ; Journal of Biosocial Science ; https://hal.archives-ouvertes.fr/hal-03521816 ; Journal of Biosocial Science, Cambridge University Press (CUP), In press, ⟨10.1017/S0021932021000699⟩ (2022)
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