Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan
Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan explores Develop an automatic speech recognition system to accelerate the documentation of endangered languages, reducing transcription time and cognitive load.. Commercial viability score: 5/10 in Speech Recognition.
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