Papers with multi-condition training
Improved Transcription and Indexing of Oral History Interviews for Digital Humanities Research (L18-1)
Copied to clipboard
| Challenge: | Existing methods to improve transcription and indexing quality of Oral History interviews are not available. |
| Approach: | They propose to use a German Oral History test-set to improve transcription and indexing quality . they propose to combine acoustic modeling techniques with sophisticated neural networks . |
| Outcome: | The proposed system reduces word error rate by 28.3% on German Oral History test-set compared to baseline system . the Fraunhofer IAIS Audio Mining system can process long audio-files to automatically create time-aligned transcriptions. |