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Intoxication and pitch control in tonal and non-tonal language speakers ...
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Using acoustic distance and acoustic absement to quantify lexical competition
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Re-synchronization using the Hand Preceding Model for Multi-modal Fusion in Automatic Continuous Cued Speech Recognition
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In: ISSN: 1520-9210 ; IEEE Transactions on Multimedia ; https://hal.archives-ouvertes.fr/hal-02433830 ; IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2021, 23, pp.292-305. ⟨10.1109/TMM.2020.2976493⟩ (2021)
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Human Beatbox: from extreme use of voice and speech to its use in speech therapy ; Le Human Beatbox : d’une utilisation extrême de la voix et de la parole à son utilité en orthophonie
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In: ISSN: 0034-222X ; Rééducation orthophonique ; https://hal.archives-ouvertes.fr/hal-03377693 ; Rééducation orthophonique, Ortho édition, 2021, Rééducation orthophonique n°286 - Les phonations : sur la voie des voix, 286 ; https://www.orthoedition.com/revues/n-les-phonations-sur-la-voie-des-voix-4341.html (2021)
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Relationship between phoneme-level spectral acoustics and speech intelligibility in healthy speech: a systematic review
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In: ISSN: 1092-4388 ; EISSN: 1558-9102 ; Journal of Speech, Language, and Hearing Research ; https://hal.archives-ouvertes.fr/hal-03543196 ; Journal of Speech, Language, and Hearing Research, American Speech-Language-Hearing Association, 2021, In a new world of research, what do we already know? Systematic and scoping reviews in Speech, Language and Hearing, 24 (2), pp.105 - 132. ⟨10.1080/2050571x.2021.1913300⟩ ; https://www.tandfonline.com/doi/abs/10.1080/2050571X.2021.1913300?journalCode=yslh20 (2021)
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A Flute, Musical Bows and Bamboo Clarinets that "Speak" in the Amazon Rainforest; Speech and Music in the Gavião Language of Rondônia
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In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal.archives-ouvertes.fr/hal-03440099 ; Frontiers in Psychology, Frontiers, 2021, 12 (December), pp.674289. ⟨10.3389/fpsyg.2021.674289⟩ ; https://www.frontiersin.org/articles/10.3389/fpsyg.2021.674289/abstract (2021)
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Vocal drum sounds in human beatboxing: An acoustic and articulatory exploration using electromagnetic articulography
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In: ISSN: 0001-4966 ; EISSN: 1520-8524 ; Journal of the Acoustical Society of America ; https://hal.univ-grenoble-alpes.fr/hal-03107358 ; Journal of the Acoustical Society of America, Acoustical Society of America, 2021, 149 (1), pp.191-206. ⟨10.1121/10.0002921⟩ ; https://asa.scitation.org/doi/full/10.1121/10.0002921 (2021)
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Acoustic measure accuracy: Telepractice platforms (Weerathunge et al., 2021) ...
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Frequency compression in bimodal CI users (Sharma et al., 2021) ...
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Acoustic measure accuracy: Telepractice platforms (Weerathunge et al., 2021) ...
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Clinical and patient-reported voice measures (Houle & Johnson, 2021) ...
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Frequency compression in bimodal CI users (Sharma et al., 2021) ...
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Clinical and patient-reported voice measures (Houle & Johnson, 2021) ...
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Interaction between Phrasal Structure and Vowel Tenseness in German: An Acoustic and Articulatory Study ...
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Interaction between Phrasal Structure and Vowel Tenseness in German: An Acoustic and Articulatory Study ...
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Interaction between Phrasal Structure and Vowel Tenseness in German: An Acoustic and Articulatory Study ...
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Superior Communication of Positive Emotions Through Nonverbal Vocalisations Compared to Speech Prosody ...
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Abstract:
The human voice communicates emotion through two different types of vocalizations: nonverbal vocalizations (brief non-linguistic sounds like laughs) and speech prosody (tone of voice). Research examining recognizability of emotions from the voice has mostly focused on either nonverbal vocalizations or speech prosody, and included few categories of positive emotions. In two preregistered experiments, we compare human listeners' (total n = 400) recognition performance for 22 positive emotions from nonverbal vocalizations (n = 880) to that from speech prosody (n = 880). The results show that listeners were more accurate in recognizing most positive emotions from nonverbal vocalizations compared to prosodic expressions. Furthermore, acoustic classification experiments with machine learning models demonstrated that positive emotions are expressed with more distinctive acoustic patterns for nonverbal vocalizations as compared to speech prosody. Overall, the results suggest that vocal expressions of positive ... : Journal of Nonverbal Behavior, 45 (4) ...
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Keyword:
Acoustics; Machine learning; Nonverbal vocalizations; Positive emotions; Speech prosody; Voice
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URL: https://dx.doi.org/10.3929/ethz-b-000498812 http://hdl.handle.net/20.500.11850/498812
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LATIC: A Non-native Pre-labelled Mandarin Chinese Validation Corpus for Automatic Speech Scoring and Evaluation Task ...
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