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Found 5 papers, 1 papers with code
Highland Puebla Nahuatl Speech Translation Corpus for Endangered Language Documentation
Documentation of endangered languages (ELs) has become increasingly urgent as thousands of languages are on the verge of disappearing by the end of the 21st century.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
End-to-End Automatic Speech Recognition: Its Impact on the Workflowin Documenting Yoloxóchitl Mixtec
This paper describes three open access Yoloxóchitl Mixtec corpora and presents the results and implications of end-to-end automatic speech recognition for endangered language documentation.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translation
The present work examines the assumption that combining non-learnable SF extractors to SSL models is an effective approach to low resource speech tasks.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yol\'oxochitl Mixtec
{``}Transcription bottlenecks{''}, created by a shortage of effective human transcribers (i. e., transcriber shortage), are one of the main challenges to endangered language (EL) documentation.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec
"Transcription bottlenecks", created by a shortage of effective human transcribers are one of the main challenges to endangered language (EL) documentation.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
