Abstract
Sociolinguists are regularly faced with the task of measuring phonetic features from speech, which involves manually transcribing audio recordings – a major bottleneck to analyzing large collections of data. We harness automatic speech recognition to build an online end-to-end web application where users upload untranscribed speech collections and receive formant measurements of the vowels in their data. We demonstrate this tool by using it to automatically analyze President Barack Obama’s vowel pronunciations.
Cite
CITATION STYLE
Reddy, S., & Stanford, J. N. (2015). A web application for automated dialect analysis. In NAACL-HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Demonstrations, Proceedings (pp. 71–75). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/n15-3015
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