Towards Processing of the Oral History Interviews and Related Printed Documents
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Automatic Speech Recognition (ASR)Optical Character Recognition (OCR)Speech RecognitionSimilar Papers 제목 키워드 기반
Human and Automatic Speech Recognition Performance on German Oral History Interviews
Automatic speech recognition systems have accomplished remarkable improvements in transcription accuracy in recent years. On some domains, models now achieve near-human performance. However, transcription performance on …
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)speech-recognitionSpeech RecognitionA Study on the Ambiguity in Human Annotation of German Oral History Interviews for Perceived Emotion Recognition and Sentiment Analysis
For research in audiovisual interview archives often it is not only of interest what is said but also how. Sentiment analysis and emotion recognition can help capture, categorize and make these different facets searchabl…
BIG-bench Machine LearningEmotion RecognitionSentiment AnalysisImproved Transcription and Indexing of Oral History Interviews for Digital Humanities Research
Croatian Memories
In this contribution we describe a collection of approximately 400 video interviews recorded in the context of the project Croatian Memories (CroMe) with the objective of documenting personal war-related experiences. The…
Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews
In automatic speech recognition, often little training data is available for specific challenging tasks, but training of state-of-the-art automatic speech recognition systems requires large amounts of annotated speech. T…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Data AugmentationRobust Speech Recognition+3