Title :
Perceptual Recognition Cues in Native English Accent Variation: "Listener Accent, Perceived Accent, and Comprehension"
Author :
Ikeno, Ayako ; Hansen, John H L
Author_Institution :
Center for Robust Speech Syst., Texas Univ., Richardson, TX
Abstract :
There are many aspects of speech that can provide information about a particular speaker´s characteristics. Accent is a linguistic trait of speaker identity. It indicates the speaker´s language and social background. The goal of this study is to provide perceptual human recognition of English native accent variation for accent and dialect identification applications. To examine relationships of the listener´s accent background with perceived accent and comprehension of the speech, perceptual experiments are conducted with three types of listeners - US and British native English listeners, and nonnative English listeners. The tasks are accent detection and classification, and transcription of the speech. The results from the study show that listeners´ accent background significantly impacts accent perception. The results also indicate that listeners use perceptual cues differently based on the task. Our analysis also suggests that comprehensibility of the speech affects accuracy of accent detection and classification. These observations point to the complex nature of the cognitive process involved in accent perception, which is bidirectional (bottom-up and top-down processing) and multi-dimensional (speech perception, language comprehension, etc.). This suggests the importance of understanding accent variation from a cognitive perspective for further development of accent and dialect identification systems as well as speech processing algorithms in general
Keywords :
hearing; natural languages; speaker recognition; speech intelligibility; British native English listener; US listener; accent detection; accent perception; bottom-up; cognitive process; dialect identification applications; dialect identification systems; language comprehension; linguistic trait; listener accent; native English accent variation; nonnative English listener; perceived accent; perceptual human recognition; perceptual recognition cues; speaker characteristics; speaker identity; speaker language; speech comprehension; speech perception; speech processing algorithms; speech transcription; top-down processing; Automatic speech recognition; Computer science; Forensics; Humans; Information security; Natural languages; Robustness; Speech analysis; Speech processing; Testing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660042