Acoustical properties of speech as indicators of depression and suicidal risk
By D. France, R. Shiavi, Stephen E. Silverman, Marilyn K. Silverman, D. Wilkes. IEEE Transactions on Biomedical Engineering, 2000
364 citations recorded by the source corpus.
Subfields: Clinical Psychology, Experimental and Cognitive Psychology, Physiology
View Paper: https://www.semanticscholar.org/paper/a353357c33c3cd5a46c0dd22ae0a455349fd33d3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
In Experimental and Cognitive Psychology
- Dimitrios Ververidis
- Constantine Kotropoulos
- K. S. Sekhara Rao
- Shashidhar G. Koolagudi
- R. Cowie
- Dror Ben-Zeev
- Ellen Douglas-Cowie
- Nick Campbell
In Physiology
Citations in the corpus
- Emotional speech: Towards a new generation of databases (2003, methodology): “... are sometimes balanced for gender as in the Berlin corpus (www.kgw.tu-berlin.de/) and the Hebrew corpus (Amir et al., 2000), but the total numbers are often not large enough for useful statistical comparisons on the basis of gender (Berlin corpus, 5 males, 5 females; Hebrew corpus, 16 males, 15 ”
- The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data (2007, neutral): “[1], [2], [3], [6], [10], [12]).”
- Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012, neutral): “or depression (France et al. 2000).”
- Emotion recognition from speech: a review (2012, background): “Medical doctors may use emotional contents of a patient’s speech as a diagnosing tool for various disorders (France et al. 2000).”
- A review of depression and suicide risk assessment using speech analysis (2015, methodology): “Suicidal Speech France et al. (2000) could be characterised by an increase in formant frequencies and a decrease in formant bandwidth.”
- StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones (2014, background): “There is a growing interest in using smartphone sensing [31, 9, 12, 11, 40, 8, 15] to infer human dynamics and behavioral health [7, 34, 25, 21, 18, 23, 35, 28, 30].”
- A multi-modal open dataset for mental-disorder analysis (2020, background): “2) Reading: This part consists of a short story named “The North Wind and the Sun”, which is from the booklet “The Principles of the International Phonetic Association” [24], and often used in the acoustic analysis in international, multilingual clinical research.”
- Emotional speech recognition: Resources, features, and methods (2006, methodology): “It has been found that subjects during stress or under depression do not articulate voiced sounds with the same effort as in the neutral emotional state (Tolkmitt and Scherer, 1986; France et al., 2000).”
- Survey on speech emotion recognition: Features, classification schemes, and databases (2011, neutral): “therapists [41].”
- Acoustical Properties of Speech as Indicators of Depression and Suicidal Risk (2008, methodology): “The PSD estimate was determined using the Welch method with non–overlapping 100–point Hamming windows [5].”