Accelerating the analysis of your audio recordings with Untrained Forced Speech Alignment

Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/44886

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Title:	Accelerating the analysis of your audio recordings with Untrained Forced Speech Alignment
Contributors:	Coto-Solano, Rolando (speaker) Nicholas, Sally Akevai (Ake) (speaker) Wray, Samantha (speaker) Peterson, Tyler (speaker)
Date Issued:	03 Mar 2019
Description:	Artificial Intelligence can do a lot to help us document and study minority and endangered languages! In this workshop, we will survey the methods available and will provide an interactive demo of forced speech alignment as a way to quickly study the phonetics of an undescribed language. We will introduce software such as FAVE-align, Praat and R to quickly extract phonetic information about your language and describe its vowels.
URI:	http://hdl.handle.net/10125/44886
Rights:	Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported
Appears in Collections:	6th International Conference on Language Documentation and Conservation (ICLDC)

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