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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 19 of 19 1 Mapping theoretical and methodological perspectives for understanding speech interface interactions ; CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems Harte, Naomi. - 2019 BASE Show details 2 Multimodal Continuous Turn-Taking Prediction Using Multiscale RNNs ... Roddy, Matthew; Skantze, Gabriel; Harte, Naomi. - : arXiv, 2018 BASE Show details 3 Multimodal continuous turn-taking prediction using multiscale RNNs ; ICMI 2018 - 20th ACM International Conference on Multimodal Interaction Harte, Naomi. - 2018 BASE Show details 4 Survival at the museum: A cooperation experiment with emotionally expressive virtual characters ; ICMI '18 Proceedings of the 20th ACM International Conference on Multimodal Interaction Harte, Naomi; Mc Donnell, Rachel. - 2018 BASE Show details 5 A longitudinal database of Irish political speech with annotations of speaker ability [<Journal>] Cullen, Ailbhe [Verfasser]; Harte, Naomi [Sonstige] DNB Subject Category Language Show details 6 Towards predicting dialog acts from previous speakers' non-verbal cues ; BIBTEX 2017 Harte, Naomi. - 2017 Abstract: In studies of response times during conversational turn-taking, a modal time of 200 ms has been observed to be a universal value that exists across languages and cross-culturally. This 200 ms value is also seen as the limit of human response times to any stimulus (e.g the response time to a starting-gun in a race). It has also been shown that human language production is slow and can take up to 1500 ms to generate even a short clause. Due to these two observations, it is necessary for a person to start formulating their turns long before the end of their interlocutor?s turn. To do this we must predict elements of what a person will say in order to formulate our responses and sustain the flow of conversation. In this sense, the end of a person?s turn can be viewed as a trigger for a prepared response. This model of human language production informs incremental approaches to the design of dialog systems, where dialog options are evaluated incrementally, while the system processes user utterances. One way we can form our predictions is by reading the non-linguistic signals that are produced by our interlocutor. For example, prosodic information such as pitch inflection can be used to infer whether a question is being asked or a statement is being made. Pitch and intensity information can also be used to infer whether a backchannel is an appropriate response. These backchannel prediction models based on non-linguistic cues can be used by conversational agents to carry out more fluid interactions with users. The development of better prediction models that exploit the social signals that humans use will lead to agents that can reproduce the interaction behaviors of humans more effectively. In this analysis we look at non-verbal speaker signals that can be used to predict the appropriate dialogue act that will follow the speaker?s utterance. We define three categories of dialogue acts: (1) response (as in a response to a question),(2) statement (a general turn switch which does not include other dialog act types), and (3) backchannel (vocalizations encouraging the speaker to continues speaking). In addition we define a fourth category, no-response, which is not strictly a dialogue act but is a relevant category for agent interactions. We identify four types of non-verbal signals that can be used to predict the appropriate type of response dialogue act: inner eyebrow movement, outer eyebrow movement, blinks, and gaze. We analyze the behavior of these four signals in the vicinity of the dialogue acts. Keyword: Predicting dialog acts URL: http://people.tcd.ie/nharte http://hdl.handle.net/2262/89214 BASE Hide details 7 ViSQOL: an objective speech quality model HARTE, NAOMI; KOKARAM, ANIL; HINES, ANDREW. - 2015 BASE Show details 8 Building a Database of Political Speech Does Culture Matter in Charisma Annotations? Hines, Andrew; Cullen, Ailbhe; Harte, Naomi In: Conference papers (2014) BASE Show details 9 Speaker verification in score-ageing-quality classification space Kelly, Finnian; Drygajlo, Andrzej; Harte, Naomi In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 5, 1068-1084 OLC Linguistik Show details 10 Speech intelligibility prediction using a Neurogram Similarity Index Measure Hines, Andrew; Harte, Naomi In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 2, 306-320 BLLDB OLC Linguistik Show details 11 Speech Intelligibility prediction using a Neurogram Similarity Index Measure HINES, ANDREW; HARTE, NAOMI. - : Elsevier, 2012 BASE Show details 12 Speech intelligibility from image processing Harte, Naomi; Hines, Andrew In: Speech communication. - Amsterdam [u.a.] : Elsevier 52 (2010) 9, 736-752 BLLDB OLC Linguistik Show details 13 Error Metrics for Impaired Auditory Nerve Responses of Different Phoneme Groups Hines, Andrew; Harte, Naomi In: Conference papers (2009) BASE Show details 14 Measurement of Phonemic Degradation in Sensorineural Hearing Loss using a Computational Model of the Auditory Periphery Hines, Andrew; Harte, Naomi In: Conference papers (2009) BASE Show details 15 Error Metrics for Impaired Auditory Nerve Responses of Different Phoneme Groups ; Interspeech 2009 HINES, ANDREW; HARTE, NAOMI. - 2009 BASE Show details 16 Measurement of phonemic degradation in sensorineural hearing loss using a computational model of the auditory periphery ; IET Irish Signals and Systems Conference ISSC 2009 HINES, ANDREW; HARTE, NAOMI. - 2009 BASE Show details 17 On Parsing Visual Sequences with the Hidden Markov Model Harte, Naomi; Lennon, Daire; Kokaram, Anil. - 2009 BASE Show details 18 Discriminitive Multi-Resolution Sub-Band and Segmental Phonetic Model Combination Harte, Naomi. - 2000 BASE Show details 19 A Novel Model For Phoneme Recognition Using Phonetically Derived Features ... Harte, Naomi; Vaseghi, Saeed; McCourt, Paul. - : Zenodo, 1998 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 3 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 1 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 2 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 15 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0