Effects of Aging on Time-Gated Isolated Word-Recognition Performance

1992 ◽  
Vol 35 (1) ◽  
pp. 234-238 ◽  
Author(s):  
Chie H. Craig

This investigation was designed to study real-time isolated monosyllabic word-recognition performance and the feasibility of applying time-gated NU-6 word-recognition test materials for real-time assessment of older listeners. Methods and materials developed in a previous investigation were used to obtain time-gated performance measures from 37 older listeners (mean age=69 years). The older listener performance measures were compared with extant data from 20 normally hearing young adult listeners (mean age=22 years). Specifically, listener confidence and accuracy by gate as well as listener isolation point, confidence at the isolation point, and total acceptance point measures were evaluated. The results show that major events in the real-time understanding process occur at a slower pace among older listeners. The data indicate that the time-gating method has excellent potential for future research among elderly listeners.

1990 ◽  
Vol 33 (4) ◽  
pp. 808-815 ◽  
Author(s):  
Chie H. Craig ◽  
Byoung W. Kim

This study examined the effects of forward time gating and word length on monosyllabic isolated word-recognition performance. Fifty (60-ms) time-gated words were developed from a pre-recorded version (Auditec of St. Louis) of the Northwestern Auditory Test No. 6 (NU-6) List 1, Form A. A total of 358 time-gated items were presented monaurally at 80 db SPL, and time-gated word identification, isolation point, acceptance point, and listener confidence measures were obtained from 20 normally hearing listeners. A comparison of conventional nontime-gated word-recognition scores obtained using the NU-6 List 4, Form C with the time-gated measures revealed that, even upon word offset, listeners recognized time-gated words less frequently and with less confidence. The time-gated findings also demonstrated that word length, based on word duration from onset to offset, significantly influenced real-time recognition performance.


2008 ◽  
Vol 19 (06) ◽  
pp. 496-506 ◽  
Author(s):  
Richard H. Wilson ◽  
Rachel McArdle ◽  
Heidi Roberts

Background: So that portions of the classic Miller, Heise, and Lichten (1951) study could be replicated, new recorded versions of the words and digits were made because none of the three common monosyllabic word lists (PAL PB-50, CID W-22, and NU–6) contained the 9 monosyllabic digits (1–10, excluding 7) that were used by Miller et al. It is well established that different psychometric characteristics have been observed for different lists and even for the same materials spoken by different speakers. The decision was made to record four lists of each of the three monosyllabic word sets, the monosyllabic digits not included in the three sets of word lists, and the CID W-1 spondaic words. A professional female speaker with a General American dialect recorded the materials during four recording sessions within a 2-week interval. The recording order of the 582 words was random. Purpose: To determine—on listeners with normal hearing—the psychometric properties of the five speech materials presented in speech-spectrum noise. Research Design: A quasi-experimental, repeated-measures design was used. Study Sample: Twenty-four young adult listeners (M = 23 years) with normal pure-tone thresholds (≤20-dB HL at 250 to 8000 Hz) participated. The participants were university students who were unfamiliar with the test materials. Data Collection and Analysis: The 582 words were presented at four signal-to-noise ratios (SNRs; −7-, −2-, 3-, and 8-dB) in speech-spectrum noise fixed at 72-dB SPL. Although the main metric of interest was the 50% point on the function for each word established with the Spearman-Kärber equation (Finney, 1952), the percentage correct on each word at each SNR was evaluated. The psychometric characteristics of the PB-50, CID W-22, and NU–6 monosyllabic word lists were compared with one another, with the CID W-1 spondaic words, and with the 9 monosyllabic digits. Results: Recognition performance on the four lists within each of the three monosyllabic word materials were equivalent, ±0.4 dB. Likewise, word-recognition performance on the PB-50, W-22, and NU–6 word lists were equivalent, ±0.2 dB. The mean recognition performance at the 50% point with the 36 W-1 spondaic words was ˜6.2 dB lower than the 50% point with the monosyllabic words. Recognition performance on the monosyllabic digits was 1–2 dB better than mean performance on the monosyllabic words. Conclusions: Word-recognition performances on the three sets of materials (PB-50, CID W-22, and NU–6) were equivalent, as were the performances on the four lists that make up each of the three materials. Phonetic/phonemic balance does not appear to be an important consideration in the compilation of word-recognition lists used to evaluate the ability of listeners to understand speech.A companion paper examines the acoustic, phonetic/phonological, and lexical variables that may predict the relative ease or difficulty for which these monosyllable words were recognized in noise (McArdle and Wilson, this issue).


Author(s):  
William P. Knowles ◽  
Daniel E Prince ◽  
David Hutchison ◽  
Jules Ferdinand Pagna Disso ◽  
Kevin Jones

1986 ◽  
Vol 30 (13) ◽  
pp. 1326-1330
Author(s):  
David B. Pisoni

An overview of several aspects of speech synthesis and recognition technologies is provided as background for subsequent speakers in this session. Specifically, we discuss speech synthesis by rule using automatic text-to-speech conversion and speaker-dependent isolated word recognition. Both of these speech I/O technologies have been developed sufficiently to the point where commercial products are now available for a number of applications. Some of the limitations of these devices are described and suggestions for future research in both synthesis and recognition are outlined.


2011 ◽  
Vol 268-270 ◽  
pp. 82-87
Author(s):  
Zhi Peng Zhao ◽  
Yi Gang Cen ◽  
Xiao Fang Chen

In this paper, we proposed a new noise speech recognition method based on the compressive sensing theory. Through compressive sensing, our method increases the anti-noise ability of speech recognition system greatly, which leads to the improvement of the recognition accuracy. According to the experiments, our proposed method achieved better recognition performance compared with the traditional isolated word recognition method based on DTW algorithm.


1989 ◽  
Vol 136 (2) ◽  
pp. 127-132 ◽  
Author(s):  
C. Vicenzi ◽  
C. Favareto ◽  
A. Carossino ◽  
A.M. Colla ◽  
C. Scagliola ◽  
...  

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