Abstract
To simulate the perceptual extraction of temporal structures of speech, the authors have been proposing an event-plausibilty model that detects the occurrence of subevents in continuous speech signals based on a auditory processing. One of its core components is the filterbank module that simulates the mechanical frequency analysis of the basilar membrane in the cochlea. In this paper, output by the new model using a dynamic compressive gammachirp (dcGC) auditory filterbank was compared with the previous model using a gammatone auditory filterbank. The most important difference between these filters was the nonlinear dynamic level-dependence of the new filter; the previous filterbank was linear. Simulation results revealed that no significant advantage for the new filter (dcGC) was observed for event detection by the event-plausiblity model, which suggests that the algorithm for the event-plausibility model has robustness against differences in peripheral auditory processing.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
| Pages | 493-496 |
| Number of pages | 4 |
| Volume | 1 |
| Publication status | Published - 2007 |
| Event | 8th Annual Conference of the International Speech Communication Association, Interspeech 2007 - Antwerp Duration: 2007 Aug 27 → 2007 Aug 31 |
Other
| Other | 8th Annual Conference of the International Speech Communication Association, Interspeech 2007 |
|---|---|
| City | Antwerp |
| Period | 07/8/27 → 07/8/31 |
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Keywords
- Auditory image model
- Auditory processing
- Event detection
- Temporal perception
ASJC Scopus subject areas
- Computer Science Applications
- Software
- Modelling and Simulation
- Linguistics and Language
- Communication
Cite this
Event detection of speech signals based on auditory processing with a dynamic compressive gammachirp filterbank. / Tanaka, Satomi; Tsuzaki, Minoru; Kato, Hiroaki; Sagisaka, Yoshinori.
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Vol. 1 2007. p. 493-496.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Event detection of speech signals based on auditory processing with a dynamic compressive gammachirp filterbank
AU - Tanaka, Satomi
AU - Tsuzaki, Minoru
AU - Kato, Hiroaki
AU - Sagisaka, Yoshinori
PY - 2007
Y1 - 2007
N2 - To simulate the perceptual extraction of temporal structures of speech, the authors have been proposing an event-plausibilty model that detects the occurrence of subevents in continuous speech signals based on a auditory processing. One of its core components is the filterbank module that simulates the mechanical frequency analysis of the basilar membrane in the cochlea. In this paper, output by the new model using a dynamic compressive gammachirp (dcGC) auditory filterbank was compared with the previous model using a gammatone auditory filterbank. The most important difference between these filters was the nonlinear dynamic level-dependence of the new filter; the previous filterbank was linear. Simulation results revealed that no significant advantage for the new filter (dcGC) was observed for event detection by the event-plausiblity model, which suggests that the algorithm for the event-plausibility model has robustness against differences in peripheral auditory processing.
AB - To simulate the perceptual extraction of temporal structures of speech, the authors have been proposing an event-plausibilty model that detects the occurrence of subevents in continuous speech signals based on a auditory processing. One of its core components is the filterbank module that simulates the mechanical frequency analysis of the basilar membrane in the cochlea. In this paper, output by the new model using a dynamic compressive gammachirp (dcGC) auditory filterbank was compared with the previous model using a gammatone auditory filterbank. The most important difference between these filters was the nonlinear dynamic level-dependence of the new filter; the previous filterbank was linear. Simulation results revealed that no significant advantage for the new filter (dcGC) was observed for event detection by the event-plausiblity model, which suggests that the algorithm for the event-plausibility model has robustness against differences in peripheral auditory processing.
KW - Auditory image model
KW - Auditory processing
KW - Event detection
KW - Temporal perception
UR - http://www.scopus.com/inward/record.url?scp=56149107882&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=56149107882&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:56149107882
SN - 9781605603162
VL - 1
SP - 493
EP - 496
BT - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
ER -