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arXivPhonetics is the scientific field concerned with the study of how speech is produced, heard and perceived. It abounds with data, such as acoustic speech recordings, neuroimaging data, or articulatory data. In this paper, we provide an introduction to different areas of phonetics (acoustic phonetics, sociophonetics, speech perception, articulatory ...
Tavakoli, Shahin +7 more
arxiv +4 more sources
Personnel of the Institute of Phonetics
Annual Report of the Institute of Phonetics University of Copenhagen, 1972 No ...
ARIPUC
openalex +3 more sources
Phonetic Segmentation of the UCLA Phonetics Lab Archive [PDF]
arXivResearch in speech technologies and comparative linguistics depends on access to diverse and accessible speech data. The UCLA Phonetics Lab Archive is one of the earliest multilingual speech corpora, with long-form audio recordings and phonetic transcriptions for 314 languages (Ladefoged et al., 2009).
Chodroff, Eleanor +3 more
arxiv +4 more sources
, 2019 This chapter provides an overview of research on the phonetic changes that occur in one’s native language (L1) due to recent experience in another language (L2), a phenomenon known as phonetic drift.
Chang, Charles B.
core +2 more sources
Web application to convert English into helpful characters for pronunciation learners [PDF]
SHS Web of Conferences, 2020 The International Phonetic Alphabet (IPA) is the most commonly used set of phonetic symbols but it can be difficult to understand and too abstract for non-phoneticians, such as English learners and foreign language educators.
Nakatsuka Keita +2 more
doaj +1 more source
Improving Japanese English pronunciation with speech recognition and feed-back system [PDF]
SHS Web of Conferences, 2020 For Japanese people, communicating with English speakers from abroad has become more common because of internationalization, and there are many people who want to improve their English-speaking skills.
Igarashi Kanta, Wilson Ian
doaj +1 more source
Using deep learning to classify English native pronunciation level from acoustic information [PDF]
SHS Web of Conferences, 2020 The main purpose of this research is to test the use of deep learning for automatically classifying an English learner’s pronunciation proficiency, a step in the construction of a system that supports second language learners.
Kobayashi Aozora, Wilson Ian
doaj +1 more source
Cognitive Load Increases Spoken and Gestural Hesitation Frequency
Languages, 2023 This study investigates the interplay of spoken and gestural hesitations under varying amounts of cognitive load. We argue that not only fillers and silences, as the most common hesitations, are directly related to speech pausing behavior, but that ...
Simon Betz +3 more
doaj +1 more source
Examining Temporal Structure of Speech with a Local Articulation Rate Metric
Research in Language, 2023 The primary goal of our study is to propose a method of calculating and visualising local articulation rate for research in temporal structure of speech.
Jan Volín, Michaela Svatošová
doaj +1 more source
Asymmetric Influence of Vocalic Context on Mandarin Sibilants: Evidence From ERP Studies
Frontiers in Human Neuroscience, 2021 In the present study, we examine the interactive effect of vowels on Mandarin fricative sibilants using a passive oddball paradigm to determine whether the HEIGHT features of vowels can spread on the surface and influence preceding consonants with ...
Yaxuan Meng +5 more
doaj +1 more source