2 edition of Wavelet and filterbank modelling of the normal and impaired auditory system. found in the catalog.
Wavelet and filterbank modelling of the normal and impaired auditory system.
Thesis (D.Phil.) - University of Ulster, 1997.
The detailed spectral, temporal, and intensive characteristics of the speech signal are processed differently in the impaired auditory system from in the normal auditory system. This is thought to result in considerable difficulty understanding a spoken message, particularly in challenging listening environments that include noise and. The resistance of the tympanic membrane and the middle ear is measured in cubic centimeters. Normal values range from to cm 3, with abnormal values indicating pathology of the middle ear. Changes in resistance of the conductive system due to increasing acoustic pressure in the external ear canal are graphically presented as a tympanogram.
Hearing Science: Provides an in-depth study of hearing in the normal auditory system. Topics include anatomy and physiology of the ear, anatomy and physiology of the auditory brain, and auditory perception and psychophysics. SPHS-S Introduction to Psychoacoustics: Perception of sound by normal and hearing-impaired listeners. Topics covered. Absolute latency of wave V—prolonged as compared with normative data. Absolute latencies and interpeak intervals latencies I–III, I–V, III–V—prolonged as compared with normative data. Absence of the later waves. Absent auditory brainstem response in the involved ear even though hearing is normal or mildly impaired. ABR traces not.
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Three modifications of a psychoacoustically and physiologically motivated processing model [Dau et al., J. Acoust. Soc. (a) –] are Cited by: Wavelet and filterbank modelling of the normal and impaired auditory system Author: Li, Min ISNI: Awarding Body: University of Ulster Current Institution: Ulster University Date of Award: Availability of Full Text.
A model of the normal and impaired auditory system. A linear auditory filterbank is constructed from these filters, which has been used in several applications involving computational auditory. LI, M.: `Wavelet and filterbank modelling of the normal and impaired auditory system',DPhil Thesis, University of Ulster, p.
92– 12) JOHNSTON, D.: `A filter family designed for use in quadrature mirror filter banks', Proceedings of IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Aprilp. –Cited by: 9. A speech intelligibility model is presented based on the computational auditory signal processing and perception model (CASP; Jepsen et al., ).
CASP has previously been shown to successfully predict psychoacoustic data obtained in normal-hearing (NH) listeners in a wide range of listening conditions.
Moreover, CASP can be parametrized to account for data from individual hearing-impaired Author: Helia Relaño-Iborra, Johannes Zaar, Torsten Dau.
Abstract. Computational auditory models describe the transformation from acoustic signals into spike firing rates of the auditory nerves by emulating the signal transductions of the human auditory inverse approach is called auralization, which can be useful for many tasks, such as quality measuring of signal transformations or reconstructing the hearing of impaired listeners.
This paper presents a computational model to simulate normal and impaired auditory-nerve (AN) fiber responses in cats. The model responses match physiological data over a wider dynamic range than previous auditory models. This is achieved by providing two modes of basilar membrane excitation to the inner hair cell (IHC) rather than one.
The two modes are generated by two parallel filters. Quantitative modeling of auditory brainstem responses in normal-hearing and hearing-impaired listeners Student: Miguel Temboury Gutiérrez Implications of modulation filterbank processing for automatic speech recognition Development and evaluation of a mixed-order Ambisonics playback system Modeling auditory grouping based on a temporal.
Hearing-impaired listeners with similar quiet thresholds often show very different real-world speech intelligibility deficits in listening situations involving competing sounds. The current study is part of larger research project focused on: (1) examining how, and to what extent, these between-subject differences in speech recognition relate to differences in suprathreshold auditory.
A criterion is proposed to obtain an optimal wavelet packet (WP) tree based on the critical band structure of the human auditory system for time-frequency decomposition of speech and audio signals. In clinical practice, an objective method to assess listening effort is still not available.
The benefit of such a measure would be to reduce the listening effort in hearing impaired persons by an adequate adaption of their personal hearing aids. In foregoing studies, we have shown that the wavelet phase synchronization stability (WPSS) of auditory late responses (ALRs) could serve as a.
The benefit of auditory models for solving three music recognition tasks—onset detection, pitch estimation, and instrument recognition—is analyzed. Appropriate features are introduced which enable the use of supervised classification. The auditory model-based approaches are tested in a comprehensive study and compared to state-of-the-art methods, which usually do not employ an auditory model.
Abstract. Models of auditory signal processing have been used for many years to provide parsimonious explanations for how the normal auditory system functions at the physiological and perceptual levels, as well as to provide useful insight into the physiological bases for perception.
The voice varies according to the context of speech and to the physical and psychological conditions of the human being, and there is always a normal standard for the vocal output.
Hearing loss can impair voce production, causing social, educational, and speech limitations, with specific deviation of the communication related to speech and voice.
Usually, the voice is not the main focus of the. The most basic computer model of ENV processing is the leaky integrator model. This model extracts the temporal envelope of the sound (ENV p) via bandpass filtering, half-wave rectification (which may be followed by fast-acting amplitude compression), and lowpass filtering with a cutoff frequency between about 60 and leaky integrator is often used with a decision statistic based on.
models: a model of normal cochlea function and a model of individual impaired cochlea function. The DPP algorithm uses this data to set gain and power characteristics. The use of this strategy results in clearer sound and Claro Digital Perception Processing appropriate loudness perception in all listening situations.
In order to understand. The compression is very fast-acting 6 and it allows the normal auditory system to operate over a wide range of sound levels, i.e. it provides the large dynamic range of about dB. It also plays a role in many other aspects of auditory perception, including intensity discrimination, masking, loudness, and timbre perception 7.
Modeling temporal and compressive properties of the normal and impaired auditory system. Hearing Research. PMID DOI: /S(01) Oxenham AJ, Dau T. Modulation detection interference: effects of concurrent and sequential streaming. The Journal of the Acoustical Society of America.
Model 2 and Model 3 fail in the modulation-matching task since level-dependent compression is not fast-acting but coupled with time constants of 5 and 15 ms, respectively.• The use of the linear Gammatone filterbank in the processing model for normal hearing may be interpreted as a first-order approximation of the combined processing.
When comparing our model simulations to other computational ABR and auditory-nerve models (e.g., the AN model of Zilany et al., combined with the Nelson and Carney, CN and IC model−ZBC14; ABR models of Rønne et al., −RDHE12; Dau, −D03), our model better accounts for decreases in ABR wave-V latency ( ms per 40 dB.
To gain insight into how component phase and amplitude contrasts may be encoded in both normal and impaired auditory systems, the auditory image model (AIM), developed by Patterson and his colleagues (Patterson et al.; Patterson ), was applied to the stimuli used in this study.
The AIM is a time-domain model of auditory.Auditory temporal processing, the precise detection of the temporal features of sounds, is a prerequisite for speech perception and reading (for a review, ).A deficit of auditory temporal processing has been suggested as a symptom in disorders as diverse as dyslexia  and autism .Moreover, impaired speech perception is one of the major sequelae of aging .This presentation highlights recent concepts of the monaural and binaural signal processing strategies employed by the normal as well as impaired auditory system.
The aim is to develop a computational auditory signal-processing model, capable of describing the transformation from the acoustical input signal into its “internal” (neural.