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A Study on the Ambiguity in Human Annotation of German Oral History Interviews for Perceived Emotion Recognition and Sentiment Analysis
Michael Gref, Nike Matthiesen, Sreenivasa Hikkal Venugopala +5
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 a…
Human and Automatic Speech Recognition Performance on German Oral History Interviews
Michael Gref, Nike Matthiesen, Christoph Schmidt +2
Automatic speech recognition systems have accomplished remarkable improvements in transcription accuracy in recent years. On some domains, models now achieve near-human performance…
Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews
Michael Gref, Christoph Schmidt, Sven Behnke +1
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 requi…