Technology and Pronunciation
Bibliographic Data
| ID | 23636877 |
|---|---|
| Authors | Jennifer A Foote (0000-0002-7477-2885, University of Alberta, corresponding author) |
| Year | 2026 |
| Pages | 1-6 |
| Publication date | 2026-03-26 |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | Encyclopedia of Applied Linguistics (SOURCE_BOOK) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781405198431.wbeal20875 |
| OpenAlex | W7140680919 |
| ISBN | 9781405198431 |
| Language | EN |
| References cited | 14 |
Pronunciation research and technology have become increasingly intertwined. Technology has opened new ways to study speech and new possibilities for learners hoping to improve their pronunciation. While instruments such as Real‐Time Magnetic Resonance Imaging (RT MRI) and ultrasound enable a better understanding of how speech sounds are produced, speech analysis software and the increased availability of large collections of speech (corpora) make it possible to gain a better understanding of how pronunciation works in different languages and by different speakers. Technology has also enabled new methods of data collection and instrument development to improve speech perception research. Perhaps most significantly, artificial intelligence (AI) and a proliferation of online tools and resources including automated speech recognition (ASR) have changed the ways in which second language pronunciation can be learned and assessed. While some of these tools require a degree of caution, technology is expanding possibilities in this area of applied linguistics.
Language technology · Perception · Pronunciation · Speech corpus · Speech processing · Speech synthesis · Speech technology · Software
| Highly cited | No |
|---|