Listener beliefs and perceptual learning
Differences between device and human guises
Bibliographic Data
| ID | 11113471 |
|---|---|
| Authors | Georgia Zellou (0000-0001-9167-0744), Michael Cohn (0000-0002-4847-1464), Michelle Cohn, Anne Pycha |
| Year | 2023 |
| Volume | 99 |
| Issue | 4 |
| Pages | 692-725 |
| Publication date | 2023-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language (JOURNAL) |
| Journal identifiers | ISSN: 0097-8507 • E-ISSN: 1535-0665 |
| Publisher | Project MUSE (PUBLISHER • US) |
| DOI | 10.1353/lan.2023.a914191 |
| OpenAlex | W4388765157 |
| Language | EN |
| Citations received | 4 |
| References cited | 8 |
Listeners have a remarkable ability to adapt to novel speech patterns, such as a new accent or an idiosyncratic pronunciation. In almost all of the previous studies examining this phenomenon, the participating listeners had reason to believe that the speech signal was produced by a human being. However, people are increasingly interacting with voice-activated artificially intelligent (voice-AI) devices that produce speech using text-to-speech (TTS) synthesis. Will listeners also adapt to novel speech input when they believe it is produced by a device? Across three experiments, we investigate this question by exposing American English listeners to shifted pronunciations accompanied by either a ‘human’ or a ‘device’ guise and testing how this exposure affects their subsequent categorization of vowels. Our results show that listeners exhibit perceptual learning even when they believe the speaker is a device. Furthermore, listeners generalize these adjustments to new talkers, and do so particularly strongly when they believe that both old and new talkers are devices. These results have implications for models of speech perception, theories of human-computer interaction, and the interface between social cognition and linguistic theory
Categorization · Cognitive psychology · Linguistics · Perception · Pronunciation · Speech perception · Speech recognition · Stress (linguistics · Computer Science · Language and cultural evolution · Phonetics and Phonology Research · Psychology · Speech and dialogue systems · Artificial Intelligence
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| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |