A database of German emotional speech
Abstract
The article describes a database of emotional speech. Ten actors (5 female and 5 male) simulated the emotions, producing 10 German utterances (5 short and 5 longer sentences) which could be used in everyday communication and are interpretable in all applied emotions. The recordings were taken in an anechoic chamber with high-quality recording equipment. In addition to the sound electro-glottograms were recorded. The speech material comprises about 800 sentences (seven emotions * ten actors * ten sentences + some second versions). The complete database was evaluated in a perception test regarding the recognisability of emotions and their naturalness. Utterances recognised better than 80 % and judged as natural by more than 60 % of the listeners were phonetically labelled in a narrow transcription with special markers for voice-quality, phonatory and articulatory settings and articulatory features. The database can be accessed by the public via the internet
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The feature set achieved an average recognition accuracy of 80 percent on the Berlin Database of Emotional Speech.
“In a previous study, the feature set was evaluated on the Berlin Database of Emotional Speech [4] that is commonly used in offline research (7 emotion classes, 10 professional actors) and achieved an average recognition accuracy of 80 percent.”
From Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data (2011) · cites this paper as [4]
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- Authors
- Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W. F., & Weiss, B.
- Affiliations
- Technische Universität Berlin (DE)
- Venue
- Interspeech 2005
- Publisher
- ISCA
- Published
- 2005-09-04
- Pages
- 1517-1520
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W175750906
- Cited by
- 2,365
- References
- 0
- Citations by year
- 2026: 86 · 2025: 160 · 2024: 173 · 2023: 216 · 2022: 177 · 2021: 195 · 2020: 156 · 2019: 149 · 2018: 144 · 2017: 106 · 2016: 119 · 2015: 116 · 2014: 108 · 2013: 95 · 2012: 72
- FWCI
- 47.20
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Interspeech (USB) (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Keywords
- emotional speech, German speech, speech corpus, simulated emotions, phonetic transcription, voice quality, articulatory features, naturalness perception
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