Name
Abstract | ||
|---|---|---|
The intelligibility of a speech output device is an important predictor of user acceptability. The Diagnostic Rhyme Test (DRT) is an ANSI standard for measuring speech intelligibility (ANSI S3.2-1989). In the DRT, respondents hear a word and choose its equivalent from two visually presented words. The two words differ only in their initial (e.g., veal-feel), and the two consonants differ only in a single distinctive acousticphonetic feature (e.g., voicing). To define “distinctive feature”, the DRT uses a minimal distinctive feature system, loosely based on the work of Jakobson et al. (1963) and Miller and Nicely (1955). These studies carefully analyzed natural speech errors in various noise environments. Whether or not these studies can be freely applied to alternative forced-choice tests of coded or synthesized speech is an empirical issue. In the present study, the results of a Consonant Identification (CI) task were compared to a previously conducted DRT using the same coding algorithms. The CI data indicated that the low-bit-rate coded speech yielded significantly more multifeature confusions then the uncoded speech. Moreover, the multifeature confusions could not be easily predicted from the single-feature confusions. A fundamental assumption of the DRT is that speech errors are adequately diagnosed by testing single-feature confusions. The results of the present study contradict that assumption. In conclusion, we argue that the application of the DRT (and more generally, any closed-response choice procedure) to coded or synthesized speech is questionable. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/BF02111208 | I. J. Speech Technology |
Keywords | Field | DocType |
speech intelligibility, diagnostic rhyme test, coded speech, two-alternative forced choice, consonant identification, speech errors | Consonant,Speech output,Computer science,Two-alternative forced choice,Speech recognition,Voice,Rhyme,Distinctive feature,Ansi standards,Intelligibility (communication) | Journal |
Volume | Issue | ISSN |
2 | 3 | 1572-8110 |
Citations | PageRank | References |
1 | 0.36 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steven L. Greenspan | 1 | 3 | 1.47 |
| Raymond W. Bennett | 2 | 17 | 2.83 |
| Ann K. Syrdal | 3 | 244 | 33.00 |