Abstract
Several processing schemes by which phonetically important information for vowels can be extracted from responses of auditory-nerve fibers are analyzed. The schemes are based on power spectra of period histograms obtained in response to a set of nine two-formant, steady-state, vowel-like stimuli presented at 60 and 75 dB SPL. One class of ‘‘local filtering’’ schemes, which was originally proposed by Young and Sachs [J. Acoust. Soc. Am. 66, 1381–1403 (1979)], consists of analyzing response patterns by filters centered at the characteristic frequencies (CF) of the fibers, so that a tonotopically arranged measure of synchronized response can be obtained. Various schemes in this class differ in the characteristics of the filter. For a wide range of filter bandwidths, formant frequencies correspond approximately to the CFs for which the response measure is maximal. If in addition, the bandwidths of the analyzing filters are made compatible with psychophysical measures of frequency selectivity, low-frequency harmonics of the stimulus fundamental are resolved in the output profile, so that fundamental frequency can also be estimated. In a second class of processing schemes, a dominant response component is defined for each fiber from a 1/6 octave spectral representation of the response pattern, and the formant frequencies are estimated from the most frequent values of the dominant component in the ensemble of auditory-nerve fibers. The local filtering schemes and the dominant component schemes can be related to ‘‘place’’ and ‘‘periodicity’’ models of auditory processing, respectively.
Keywords
Affiliated Institutions
Related Publications
Optimum linear diversity receivers in digital cellular radio
The paper analyzes and quantifies the performance of a space diversity combining receiver operating in a digital cellular radio environment with quaternary phase shift keying (Q...
Optimum linear diversity receivers for mobile communications
This paper analyzes and quantifies the performance of a space diversity combining receiver operating in a mobile radio environment with quaternary phase-shift-keying transmissio...
Consensus Filters for Sensor Networks and Distributed Sensor Fusion
Consensus algorithms for networked dynamic systems provide scalable algorithms for sensor fusion in sensor networks. This paper introduces a distributed filter that allows the n...
Distributed Kalman Filter with Embedded Consensus Filters
The problem of distributed Kalman filtering (DKF) for sensor networks is one of the most fundamental distributed estimation problems for scalable sensor fusion. This paper addre...
The processing of hexagonally sampled two-dimensional signals
Two-dimensional signals are normally processed as rectangularly sampled arrays; i.e., they are periodically sampled in each of two orthogonal independent variables. Another form...
Publication Info
- Year
- 1984
- Type
- article
- Volume
- 75
- Issue
- 3
- Pages
- 879-886
- Citations
- 81
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1121/1.390597