Effects of low-pass filtering on the judgment of vocal affect in speech directed to infants, adults and foreigners

Knoll, Monja; Uther, Maria; Costall, Alan

doi:10.1016/j.specom.2008.08.001

Cited by 31 publications

(32 citation statements)

References 33 publications

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“…To validate the prosody without the influence of the lexical content, two methods of digital acoustic filtering were employed: (a) prosody unveiling restricted representation (PURR [4]); and (b) lowpass filtering (LPF500 [5]). The former involves eliminating all frequencies above the third harmonic and aperiodic signals, while the latter simply removes all frequencies above 500Hz.…”

Section: Stimuli Testingmentioning

confidence: 99%

A resource of validated digital audio recordings to assess identification of emotion in spoken language after a brain injury

2013

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Section: Stimuli Testingmentioning

confidence: 99%

A resource of validated digital audio recordings to assess identification of emotion in spoken language after a brain injury

2013

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“…That study did not examine the contribution of filters with frequency cut-offs higher than 400 Hz. However, a lot of indexical (age, sex, social identity) information can actually lie above 400 Hz, which necessitates the use of higher filters such as 700 Hz or 1000 Hz (Knoll et al, 2009). The current study has two aims.…”

Section: Frota Et Al Found That There Is a Rhythmic Distinction Betwmentioning

confidence: 99%

“…To achieve this aim, the filter cut-offs were 500, 700, 900 and 1100 Hz, which represents a range of progressively higher filters between the lowinformation cut-off of 400 Hz and unfiltered (or clear) speech. A filter cut-off of 1200 Hz has been previously used in the literature as a bridge between lower filters and unfiltered speech (Knoll et al, 2009). …”

Section: Frota Et Al Found That There Is a Rhythmic Distinction Betwmentioning

confidence: 99%

“…More recently, low-pass filtered natural speech was used to study vocal emotions in typical speech communication (see Scherer, 2003, for a review) across different cultures such as English and Japanese (Kitayama and Ishii, 2002) and in individuals with emotional disorders (McNally et al, 2001). Low-pass filtering at various cut-off levels was also applied in research on affectual infant-directed speech (Burnham et al, 2002;Kitamura and Burnham, 2003;Knoll et al, 2009). Lower filter cut-offs such as 255 Hz and 300 Hz were used to study the contribution of voice quality to the perception of race (African American vs. White) and speaker sex (Lass et al, 1980;Thomas and Reaser, 2004).…”

Section: Introductionmentioning

confidence: 99%

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Effects of low-pass filtering on dialect and gender perception

Fox

Jacewicz

Smith

2016

Journal of the Acoustical Society of America

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In addition to linguistic (message-related) information, spoken language includes indexical information related to the speaker characteristics (e.g., gender, social status, and regional identity). This study is an extension of Jacewicz et al. (2015, JASA, 137, 2417–2418) which explored the nature of acoustic cues signaling indexical information. That study demonstrated that listeners were quite accurate in making decisions regarding the regional dialect and gender of a speaker when responding to short unprocessed phrases from 40 speakers (male and female) from two different dialects spoken in central Ohio and western North Carolina. However, when the signal was low-pass filtered at 400 Hz, sensitivity to both dropped significantly. The current study examined performance on the same phrases when the signal was low-pass filtered at progressively higher cutoff frequencies (500, 700, 900, and 1100 Hz). These stimuli were played to 20 listeners (10 males and 10 females) who identified the sex and dialect of the speaker. As expected, listener sensitivity improved with each wider low-pass filter condition. Performance in the 1100-Hz cutoff condition was very similar to that in the unprocessed condition. Discussion will focus on the nature of the acoustic cues utilized by listeners across the four low-pass filter conditions.

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“…backward speech will have reversed intonation contours. Another masking technique used in paralanguistic studies [5], [6] is low-pass filtering. Low-pass filtering removes high frequencies which are important for speech comprehension (i.e.…”

Section: Introductionmentioning

confidence: 99%

Judging Emotion from Low-Pass Filtered Naturalistic Emotional Speech

Snel¹,

Cullen²

2013

2013 Humaine Association Conference on Affective Computing and Intelligent Interaction

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Abstract-In speech, low frequency regions play a significant role in paralinguistic communication such as the conveyance of emotion or mood. The extent to which lower frequencies signify or contribute to affective speech is still an area for investigation. To investigate paralinguistic cues, and remove interference from linguistic cues, researchers can low-pass filter the speech signal on the assumption that certain acoustic cues characterizing affect are still discernible. Low-pass filtering is a practical technique to investigate paralinguistic phenomena, and is used here to investigate the inference of naturalistic emotional speech. This paper investigates how listeners perceive the level of Activation, and evaluate negative and positive levels, on low-pass filtered naturalistic speech, which has been developed through the use of Mood Inducing Procedures.

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Effects of low-pass filtering on the judgment of vocal affect in speech directed to infants, adults and foreigners

Cited by 31 publications

References 33 publications

A resource of validated digital audio recordings to assess identification of emotion in spoken language after a brain injury

A resource of validated digital audio recordings to assess identification of emotion in spoken language after a brain injury

Effects of low-pass filtering on dialect and gender perception

Judging Emotion from Low-Pass Filtered Naturalistic Emotional Speech

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