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  • 1. Friberg, Anders
    et al.
    Hellwagner, Martin
    Helgason, Pétur
    Salomão, Gláucia Laís
    Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, Avdelningen för fonetik. Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, SUBIC – Centrum för hjärnavbildning vid Stockholms universitet. Speech, Music and Hearing, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology 1 , Lindstedtsvägen 24, 10044 Stockholm, Sweden.
    Elowsson, Anders
    Lemaitre, Guillaume
    Ternström, Sten
    Prediction of three articulatory categories in vocal sound imitations using models for auditory receptive fields2018Inngår i: Journal of the Acoustical Society of America, ISSN 0001-4966, E-ISSN 1520-8524, Vol. 144, nr 3, s. 1467-1483Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Vocal sound imitations provide a new challenge for understanding the coupling between articulatory mechanisms and the resulting audio. In this study, the classification of three articulatory categories, phonation, supraglottal myoelastic vibrations, and turbulence, have been modeled from audio recordings. Two data sets were assembled, consisting of different vocal imitations by four professional imitators and four non-professional speakers in two different experiments. The audio data were manually annotated by two experienced phoneticians using a detailed articulatory description scheme. A separate set of audio features was developed specifically for each category using both time-domain and spectral methods. For all time-frequency transformations, and for some secondary processing, the recently developed Auditory Receptive Fields Toolbox was used. Three different machine learning methods were applied for predicting the final articulatory categories. The result with the best generalization was found using an ensemble of multilayer perceptrons. The cross-validated classification accuracy was 96.8% for phonation, 90.8% for supraglottal myoelastic vibrations, and 89.0% for turbulence using all the 84 developed features. A final feature reduction to 22 features yielded similar results.

  • 2. Gordon, Amy R.
    et al.
    Lundström, Johan N.
    Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, SUBIC – Centrum för hjärnavbildning vid Stockholms universitet. Karolinska Institutet, Sweden; Monell Chemical Senses Center, USA.
    Kimball, Bruce A.
    Karshikoff, Bianka
    Sorjonen, Kimmo
    Axelsson, John
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Psykologiska institutionen, Stressforskningsinstitutet. Stockholms universitet, Samhällsvetenskapliga fakulteten, Psykologiska institutionen, Biologisk psykologi.
    Lekander, Mats
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Psykologiska institutionen, Stressforskningsinstitutet. Stockholms universitet, Samhällsvetenskapliga fakulteten, Psykologiska institutionen, Biologisk psykologi.
    Olsson, Mats J.
    Human scent as a first-line defense against disease2023Inngår i: Scientific Reports, E-ISSN 2045-2322, Vol. 13, nr 1, artikkel-id 16709Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Individuals may have a different body odor, when they are sick compared to healthy. In the non-human animal literature, olfactory cues have been shown to predict avoidance of sick individuals. We tested whether the mere experimental activation of the innate immune system in healthy human individuals can make an individuals' body odor be perceived as more aversive (intense, unpleasant, and disgusting). Following an endotoxin injection (lipopolysaccharide; 0.6 ng/kg) that creates a transient systemic inflammation, individuals smelled more unpleasant compared to a placebo group (saline injection). Behavioral and chemical analyses of the body odor samples suggest that the volatile components of samples from sick individuals changed qualitatively rather than quantitatively. Our findings support the hypothesis that odor cues of inflammation in axillary sweat are detectable just a few hours after experimental activation of the innate immune system. As such, they may trigger behavioral avoidance, hence constituting a first line of defense against pathogens of infected conspecifics.

  • 3.
    Salomão, Gláucia Laís
    Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, Avdelningen för fonetik. Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, SUBIC – Centrum för hjärnavbildning vid Stockholms universitet.
    How voice mirrors emotions: relationships between emotions and physiological, aerodynamic and acoustic characteristics of phonation2020Inngår i: Proceedings of the Virtual Congress of the Otorhinolaryngology Foundation / [ed] International Archives of Otorhinolaryngology, 2020Konferansepaper (Fagfellevurdert)
  • 4.
    Salomão, Gláucia Laís
    et al.
    Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, Avdelningen för fonetik. Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, SUBIC – Centrum för hjärnavbildning vid Stockholms universitet.
    Sundberg, Johan
    Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik.
    Scherer, Klaus
    Assessing Physiological and Acoustic Indicators of Two Opera Singers’ Voice Characteristics2023Inngår i: Journal of the Acoustical Society of America, ISSN 0001-4966, E-ISSN 1520-8524Artikkel i tidsskrift (Fagfellevurdert)
  • 5.
    Salomão, Gláucia Laís
    et al.
    Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, Avdelningen för fonetik. Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, SUBIC – Centrum för hjärnavbildning vid Stockholms universitet.
    Sundberg, Johan
    Scherer, Klaus
    Emotion Expression in Singing Voice Source: Characteristics and Emotional Coloring Used by Three World-Renowned Male Singers2017Inngår i: Proceedings of The Voice Foundation Annual 's 46th Annual Symposium, 2017Konferansepaper (Fagfellevurdert)
  • 6.
    Salomão, Gláucia Laís
    et al.
    Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, SUBIC – Centrum för hjärnavbildning vid Stockholms universitet. Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, Avdelningen för fonetik.
    Sundberg, Johan
    Scherer, Klaus
    What does LTAS tell about the voice source?2018Inngår i: Proceedings of The Voice Foundation Annual 's 46th Annual Symposium, 2018Konferansepaper (Fagfellevurdert)
  • 7. Sundberg, Johan
    et al.
    Salomão, Gláucia Laís
    Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, Avdelningen för fonetik. Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, SUBIC – Centrum för hjärnavbildning vid Stockholms universitet.
    Scherer, Klaus R.
    Emotional expressivity in singing: Assessing physiological and acoustic indicators of two opera singers' voice characteristics2024Inngår i: Journal of the Acoustical Society of America, ISSN 0001-4966, E-ISSN 1520-8524, Vol. 155, nr 1, s. 18-28Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    In an earlier study, we analyzed how audio signals obtained from three professional opera singers varied when they sang one octave wide eight-tone scales in ten different emotional colors. The results showed systematic variations in voice source and long-term-average spectrum (LTAS) parameters associated with major emotion families. For two of the singers, subglottal pressure (P-Sub) also was recorded, thus allowing analysis of an additional main physiological voice control parameter, glottal resistance (defined as the ratio between P-Sub and glottal flow), and related to glottal adduction. In the present study, we analyze voice source and LTAS parameters derived from the audio signal and their correlation with P-sub and glottal resistance. The measured parameters showed a systematic relationship with the four emotion families observed in our previous study. They also varied systematically with values of the ten emotions along the valence, power, and arousal dimensions; valence showed a significant correlation with the ratio between acoustic voice source energy and subglottal pressure, while Power varied significantly with sound level and two measures related to the spectral dominance of the lowest spectrum partial. the fundamental.

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