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Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths
8 references·1 citing·43 second hop
Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths (2020)Analyzing acoustic and prosodic fluctuati…AVEC 2017 (2017)AVEC 2017Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews (2015)Self-Reported Symptoms of Dep…A psychometric investigation of “macroscopic” speech measures for clinical and psychological science (2015)A psychometric investigation …The Distress Analysis Interview Corpus of human and computer interviews (2014)The Distress Analysis Intervi…On the relative importance of vocal source, system, and prosody in human depression (2013)On the relative importance of…Praat script to detect syllable nuclei and measure speech rate automatically (2009)Praat script to detect syllab…Emotion dimensions and formant position (2009)Emotion dimensions and forman…An acoustic study of emotions expressed in speech (2004)An acoustic study of emotions…A Narrative Review of Speech and EEG Features for Schizophrenia Detection: Progress and Challenges (2023)A Narrative Review of Speech …Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion (1993)Acoustic profiles in vocal emotion expression. (1996)Emotion recognition in human-computer interaction (2001)A review on emotion recognition using speech (2017)Good vibrations: A review of vocal expressions of positive emotions (2020)A RATING SCALE FOR DEPRESSION (1960)Acoustical properties of speech as indicators of depression and suicidal risk (2000)Praat: Doing Phonetics by Computer (2011)Automated audiovisual depression analysis (2015)Natural Language Processing as an Emerging Tool to Detect Late-Life Depression (2021)A Depression Detection Auxiliary Decision System Based on Multi-Modal Feature-Level Fusion of EEG and Speech (2024)Studies in second language acquisition (1985)Exploring measures and perceptions of fluency in the speech of second language learners (2004)9. Strategic planning, task structure and performance testing (2005)Prosody in Infant-Directed Speech Is Similar Across Western and Traditional Cultures (2013)Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors (2016)Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche (2019)The Brief Symptom Inventory: an introductory report (1983)International affective picture system (IAPS) : affective ratings of pictures and instruction manual (2005)Distribution Theory for Glass's Estimator of Effect Size and Related Estimators (1981)The PHQ-9 (2001)The PHQ-9: A New Depression Diagnostic and Severity Measure (2002)Objective assessment of depressive symptoms with machine learning and wearable sensors data (2017)Using regional saliency for speech emotion recognition (2017)Speech‐based markers for posttraumatic stress disorder in US veterans (2019)Manual for the State-Trait Anxiety Inventory (1970)Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. (2003)SimSensei kiosk: a virtual human interviewer for healthcare decision support (2014)AVEC 2016 (2016)Automated assessment of psychiatric disorders using speech: A systematic review (2020)A circumplex model of affect. (1980)Formant position based weighted spectral features for emotion recognition (2011)Towards a social functional account of laughter: Acoustic features convey reward, affiliation, and dominance (2017)The Sound of Emotional Prosody: Nearly 3 Decades of Research and Future Directions (2024)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)The PHQ-8 as a measure of current depression in the general population (2008)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Facebook language predicts depression in medical records (2018)Deep learning for depression recognition with audiovisual cues: A review (2021)MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech (2021)Emotional speech recognition: Resources, features, and methods (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)
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References

  • 2009Praat script to detect syllable nuclei and measure speech rate automatically633 cited
  • 2014The Distress Analysis Interview Corpus of human and computer interviews591 cited
  • 2017AVEC 2017332 cited
  • 2004An acoustic study of emotions expressed in speech172 cited
  • 2015Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews127 cited
  • 2013On the relative importance of vocal source, system, and prosody in human depression66 cited
  • 2009Emotion dimensions and formant position66 cited
  • 2015A psychometric investigation of “macroscopic” speech measures for clinical and psychological science37 cited

Cited by

  • 2023A Narrative Review of Speech and EEG Features for Schizophrenia Detection: Progress and Challenges32 cited

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