Effects of Telephone Ring on Two Mental Tasks Relative to an Office

Mouri, Kiminori; Akiyama, Kazunori; Ando, Yoichi

doi:10.1006/jsvi.2000.3285

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…For this reason, this paper attempts to determine the temporal window of IACF to be analyzed in relation to the moving sound image. Mouri et al described that the temporal window of ACF mechanism is relating to the ('te)min (minimum value of 't e ) of sound signals, and showed that the recommended temporal window of ACF mechanism is predicted by the ('te)min of the source signal [12]. This investigation reveals that human temporal window of ACF mechanism is affected by the temporal properties extracted from the sound source.…”

Section: Introductionmentioning

confidence: 61%

On the temporal window of auditory-brain system in connection with subjective responses

Mouri

2003

The Journal of the Acoustical Society of America

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The human auditory-brain system processes information extracted from autocorrelation function (ACF) of the source signal and interaural cross correlation function (IACF) of binaural sound signals which are associated with the left and right cerebral hemispheres, respectively. The purpose of this dissertation is to determine the desirable temporal window (2T: integration interval) for ACF and IACF mechanisms. For the ACF mechanism, the visual change of Φ(0), i.e., the power of ACF, was associated with the change of loudness, and it is shown that the recommended temporal window is given as about 30(τe)min [s]. The value of (τe)min is the minimum value of effective duration of the running ACF of the source signal. It is worth noticing from the experiment of EEG that the most preferred delay time of the first reflection sound is determined by the piece indicating (τe)min in the source signal. For the IACF mechanism, the temporal window is determined as below: The measured range of τIACC corresponding to subjective angle for the moving image sound depends on the temporal window. Here, the moving image was simulated by the use of two loudspeakers located at ±20° in the horizontal plane, reproducing amplitude modulated band-limited noise alternatively. It is found that the temporal window has a wide range of values from 0.03 to 1 [s] for the modulation frequency below 0.2 Hz. Thesis advisor: Yoichi Ando Copies of this thesis written in English can be obtained from Kiminori Mouri, 5-3-3-1110 Harayama-dai, Sakai city, Osaka 590-0132, Japan. E-mail address: km529756@aol.com

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Section: Introductionmentioning

confidence: 61%

On the temporal window of auditory-brain system in connection with subjective responses

Mouri

2003

The Journal of the Acoustical Society of America

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“…According to previous results in modeling the running listening level LL, the recommended signal duration (2T) r to be analyzed was found to be approximately given by the relation (Mouri, Akiyama and Ando, 2001) (2T) r ~ 30 (τ e ) min (2) where (τ e ) min is the minimum value of the effective duration of running ACF defined above. For speech syllables, this value was (τ e ) min ~ 1.81 ms, and for continuous speech it was (τ e ) min ~ 1.56 ms. A uniform value of 2T = 40 ms was consequently selected for use with both stimulus types.…”

Section: Autocorrelation Analysismentioning

confidence: 97%

Autocorrelation-based features for speech representation

Ando¹

2013

Proceedings of Meetings on Acoustics

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This study investigates autocorrelation-based features as a potential basis for phonetic and syllabic distinctions. The work comes out of a theory of auditory signal processing based on central monaural autocorrelation and binaural crosscorrelation representations. Correlation-based features are used to predict monaural and binaural perceptual attributes that are important for the architectural acoustic design of concert halls: pitch, timbre, loudness, duration, reverberation-related coloration, sound direction, apparent source width, and envelopment (Ando, 1985(Ando, , 1998Ando and Cariani, 2009). The current study investigates the use of features of monaural autocorrelation functions (ACFs) for representing phonetic elements (vowels), syllables (CV pairs), and phrases using a small set of temporal factors extracted from the short-term running ACF. These factors include listening level (loudness), zero-lag ACF peak width (spectral tilt), τ1 (voice pitch period), φ1 (voice pitch strength), τe (effective duration of the ACF envelope, temporal repetitive continuity/contrast), segment duration, and Δφ1/Δt (the rate of pitch strength change, related to voice pitch attack-decay dynamics). Times at which ACF effective duration τe is minimal reflect rapid signal pattern changes that usefully demarcate segmental boundaries. Results suggest that vowels, CV syllables, and phrases can be distinguished on the basis of this ACF-derived feature set.

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“…E!ects of noise on mental tasks can be interpreted as an interference phenomenon between the task performance and the hemispheric dominance [24,25]. Temporal factors extracted from the ACF are associated with the left cerebral hemisphere and spatial factors extracted from IACF are much concerned with the right [1].…”

Section: Remarksmentioning

confidence: 99%

Effects of Telephone Ring on Two Mental Tasks Relative to an Office

Cited by 4 publications

References 6 publications

On the temporal window of auditory-brain system in connection with subjective responses

On the temporal window of auditory-brain system in connection with subjective responses

Autocorrelation-based features for speech representation

A Theory of Primary Sensations and Spatial Sensations Measuring Environmental Noise

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