Audiovisual Cues and Perceptual Learning of Spectrally Distorted Speech
Bibliographic Data
| ID | 10255452 |
|---|---|
| Authors | Michael Pilling (0000-0002-1984-1497, MRC Institute of Hearing Research, corresponding author), Sharon Thomas (0000-0002-0513-5401, MRC Institute of Hearing Research), Sara N Thomas (0009-0008-4290-8259, MRC Institute of Hearing Research) |
| Year | 2011 |
| Volume | 54 |
| Issue | 4 |
| Pages | 487-497 |
| Publication date | 2011-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language and Speech (JOURNAL) |
| Journal identifiers | ISSN: 0023-8309 • E-ISSN: 1756-6053 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0023830911404958 |
| PMID | 22338788 |
| OpenAlex | W2032845048 |
| Language | EN |
| Citations received | 2 |
| References cited | 33 |
Two experiments investigate the effectiveness of audiovisual (AV) speech cues (cues derived from both seeing and hearing a talker speak) in facilitating perceptual learning of spectrally distorted speech. Speech was distorted through an eight channel noise-vocoder which shifted the spectral envelope of the speech signal to simulate the properties of a cochlear implant with a 6 mm place mismatch. Experiment 1 found that participants showed significantly greater improvement in perceiving noise-vocoded speech when training gave AV cues than when it gave auditory cues alone. Experiment 2 compared training with AV cues with training which gave written feedback. These two methods did not significantly differ in the pattern of training they produced. Suggestions are made about the types of circumstances in which the two training methods might be found to differ in facilitating auditory perceptual learning of speech
Audiology · Cochlear implant · Noise (video · Perception · Perceptual Learning · Speech perception · Speech recognition · Artificial Intelligence · Communication · Computer Science · Hearing Loss and Rehabilitation · Multisensory perception and integration · Psychology · Speech and Audio Processing
| Citations per year | 0.2 |
|---|---|
| Citation span | 2016 - 2018 (3) |
| Highly cited | No |