Using Related Text Sources to Improve Classification of Transcribed Speech Data KU Leuven
© 2020, Springer Nature Switzerland AG. Today’s content including user generated content is increasingly found in multimedia format. It is known that speech data are sometimes incorrectly transcribed especially when they are spoken by voices on which the transcribers have not been trained or when they contain unfamiliar words. A familiar mining tasks that helps in storage, indexing and retrieval is automatic classification with predefined ...