The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Training Japanese listeners to identify English /r/ and /l/. III. Long-term retention of new phonetic categories
Open accessAbstract
Monolingual speakers of Japanese were trained to identify English /r/ and /l/ using Logan et al.’s [J. Acoust. Soc. Am. 89, 874–886 (1991)] high-variability training procedure. Subjects’ performance improved from the pretest to the post-test and during the 3 weeks of training. Performance during training varied as a function of talker and phonetic environment. Generalization accuracy to new words depended on the voice of the talker producing the /r/–/l/ contrast: Subjects were significantly more accurate when new words were produced by a familiar talker than when new words were produced by an unfamiliar talker. This difference could not be attributed to differences in intelligibility of the stimuli. Three and six months after the conclusion of training, subjects returned to the laboratory and were given the post-test and tests of generalization again. Performance was surprisingly good on each test after 3 months without any further training: Accuracy decreased only 2% from the post-test given at the end of training to the post-test given 3 months later. Similarly, no significant decrease in accuracy was observed for the tests of generalization. After 6 months without training, subjects’ accuracy was still 4.5% above pretest levels. Performance on the tests of generalization did not decrease and significant differences were still observed between talkers. The present results suggest that the high-variability training paradigm encourages a long-term modification of listeners’ phonetic perception. Changes in perception are brought about by shifts in selective attention to the acoustic cues that signal phonetic contrasts. These modifications in attention appear to be retrained over time, despite the fact that listeners are not exposed to the /r/–/l/ contrast in their native language environment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Training Japanese listeners to identify English /r/ and /l/: A first report
Logan, J. S., Lively, S. E., & Pisoni, D. B. (1991) · The Journal of the Acoustical Society of America · doi:10.1121/1.1894649 · Cited by 913
Self-citationLively, S. E., Logan, J. S., & Pisoni, D. B. (1993) · The Journal of the Acoustical Society of America · doi:10.1121/1.408177 · Cited by 788
Self-citationAuditory perception by normal Japanese adults of the sounds “L” and “R”
Goto, H. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90027-3 · Cited by 620
Yamada, R. A., & Tohkura, Y. (1992) · Perception & Psychophysics · doi:10.3758/bf03206698 · Cited by 161
Self-citation
Cited by
Perceptual adaptation to non-native speech
Bradlow, A. R., & Bent, T. (2008) · Cognition · doi:10.1016/j.cognition.2007.04.005 · Cited by 906
Critical periods in speech perception: New directions
Werker, J. F., & Hensch, T. K. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015104 · Cited by 774
Training American listeners to perceive Mandarin tones
Wang, Y., Spence, M. M., Jongman, A., & Sereno, J. A. (1999) · The Journal of the Acoustical Society of America · doi:10.1121/1.428217 · Cited by 521
Instructed SLA: Constraints, Compensation, and Enhancement
Doughty, C. J. (2003) · The Handbook of Second Language Acquisition · doi:10.1002/9780470756492.ch10 · Cited by 519
Bosch, L., & Sebastián-Gallés, N. (2003) · Language and Speech · doi:10.1177/00238309030460020801 · Cited by 497
Metadata
- Authors
- Lively, S. E., Pisoni, D. B., Yamada, R. A., Tohkura, Y., & Yamada, T.
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 1994-10-01
- Volume
- 96
- Issue
- 4
- Pages
- 2076-2087
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W1988819670
- Cited by
- 378
- References
- 4
- FWCI
- 5.53
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Training Japanese listeners to identify English /r/ and /l/. III. Long-term retention of new phonetic categories. https://app.cochat.ai/papers/10.1121/1.410149
- The paper
- Lively, S. E., Pisoni, D. B., Yamada, R. A., Tohkura, Y., & Yamada, T. (1994). Training Japanese listeners to identify English /r/ and /l/. III. Long-term retention of new phonetic categories. The Journal of the Acoustical Society of America. https://doi.org/10.1121/1.410149
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.