This work deals with some interesting issues arisen when the ITC-irst broadcast news transcription system was applied to transcribe the audio track of historical documentary films. Due to an evident acoustic and linguistic mismatch between the broadcast news and the new application domain, the initial word error rate was of 46.4%. By exploiting a limited amount of manually annotated training data, adaptation of all components of the transcription system was performed, namely the audio partitioner, the acoustic model, and the language model. This permitted to achieve a word error rate of 30%, which makes automatic transcription of documentary films effective for information retrieval applications
Issues in Automatic Transcription of Historical Audio Data
Brugnara, Fabio;Cettolo, Mauro;Federico, Marcello;Giuliani, Diego
2002-01-01
Abstract
This work deals with some interesting issues arisen when the ITC-irst broadcast news transcription system was applied to transcribe the audio track of historical documentary films. Due to an evident acoustic and linguistic mismatch between the broadcast news and the new application domain, the initial word error rate was of 46.4%. By exploiting a limited amount of manually annotated training data, adaptation of all components of the transcription system was performed, namely the audio partitioner, the acoustic model, and the language model. This permitted to achieve a word error rate of 30%, which makes automatic transcription of documentary films effective for information retrieval applicationsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
