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

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dc.contributor.speakerCoto-Solano, Rolando
dc.contributor.speakerNicholas, Sally Akevai (Ake)
dc.contributor.speakerWray, Samantha
dc.contributor.speakerPeterson, Tyler
dc.date.accessioned2019-06-25T17:29:45Z
dc.date.available2019-06-25T17:29:45Z
dc.date.begin2019-02-28
dc.date.finish2019-03-03
dc.date.issued2019-03-03
dc.descriptionArtificial 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.
dc.identifier.urihttp://hdl.handle.net/10125/44886
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0 Unported
dc.titleAccelerating the analysis of your audio recordings with Untrained Forced Speech Alignment
dc.type.dcmiText

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6th International Conference on Language Documentation and Conservation (ICLDC)