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INVESTIGATING ARTICULATORY SETTING—PAUSES, READY POSITION, AND REST—USING REAL-TIME MRI
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In: http://www-scf.usc.edu/%7Evramanar/Articulatory_Setting_Interspeech_2010_v8_reviewed.pdf
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Modeling emotion expression and perception behavior in auditive emotion evaluation
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In: http://www.isca-speech.org/archive/sp2006/papers/sp06_071.pdf
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An Exploratory Study of Emotional Speech Production using Functional Data Analysis Techniques
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In: http://sail.usc.edu/publications/issp2006-emotion-mri-fda.pdf
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The Twins Corpus of Museum Visitor Questions
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/595_Paper.pdf
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Data-Driven Unsupervised Adaptation of Acoustic-Prosodic Models
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In: http://www.isca-speech.org/archive/sp2008/papers/sp08_161.pdf
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Detection of Non-Native Named Entities Using Prosodic Features for Improved Speech Recognition and Translation
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In: http://sail.usc.edu/publications/vivek_multiling-final-draft.pdf
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67 |
Language-Adaptive Persian Speech Recognition
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In: http://biron.usc.edu/~snaveen/papers/LAAM.pdf
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ISCA Archive Use of Model Transformations for Distributed Speech Recognition
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In: http://isca-speech.org/archive_open/archive_papers/adaptation/adap_113.pdf
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69 |
Tactical language training system: An interim report
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In: http://alelo.com/files/ITS04-tactical_language.pdf
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Pronunciation variations of Spanish-accented English spoken by young children
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In: http://www.seas.ucla.edu/spapl/paper/hong_euro05.pdf
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71 |
Acoustic-Prosodic, Turn-taking, and Language Cues in Child-Psychologist Interactions for Varying Social Demand
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In: http://sail.usc.edu/%7Edbone/Bone_prosodyLanguage_socialDemand_IS2013.pdf
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72 |
An acoustic study of emotions expressed in speech
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In: http://graphics.cs.uh.edu/publication/pub/ICSLP04_acousticStudy.pdf
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Abstract:
In this study, we investigate acoustic properties of speech associated with four different emotions (sadness, anger, happiness, and neutral) intentionally expressed in speech by an actress. The aim is to obtain detailed acoustic knowledge on how speech is modulated when speaker’s emotion changes from neutral to a certain emotional state. It is based on measurements of acoustic parameters related to speech prosody, vowel articulation and spectral energy distribution. Acoustic similarities and differences among the emotions are then explored with mutual information computation, multidimensional scaling, and comparison of acoustic likelihoods relative to the neutral emotion. In addition, acoustic separability of the emotions is tested using the discriminant analysis at the utterance level and the result is compared with human evaluation. Results show that happiness/anger and neutral/sadness share similar acoustic properties in this speaker. Speech associated with anger and happiness are characterized by longer utterance duration, shorter inter-word silence, higher pitch and energy values with wider ranges, showing the characteristics of exaggerated or hyperarticulated speech. The discriminant analysis indicates that within-group acoustic separability is relatively poor, suggesting that conventional acoustic parameters examined in this study are not effective in describing the emotions along the valence (or pleasure) dimension. It is noted that RMS energy, inter-word silence and speaking rate are useful in distinguishing sadness from others. Interestingly, the between-group difference in formant patterns seems better reflected in back vowels such as /a / (/father/) than in the front vowels. Larger lip opening and/or more tongue constriction at the mid or rear part of the vocal tract could be underlying reasons. 1.
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URL: http://graphics.cs.uh.edu/publication/pub/ICSLP04_acousticStudy.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.81.4386
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Modeling and Automating Detection of Errors in Arabic Language Learner Speech
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In: http://sail.usc.edu/publications/paper_pron.pdf
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Liquids In Tamil
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In: http://www.asel.udel.edu/icslp/cdrom/vol2/984/a984.pdf
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