Cross linguistic interpretation of emotional prosody

By Åsa Abelin, Jens Allwood. 2002

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Emotional speech: Towards a new generation of databases (2003, background): “In the other direction, a number of investigators have chosen to study a relatively narrow range of emotional states in depth rather Table 1 Examples of how datasets address the issues of scope, naturalness and context Anger, happiness, neutrality, sadness, surprise Danish Simulated Scripted Subject”
Automatic speech emotion recognition using modulation spectral features (2011, methodology): “…commonly used feature type for SER, and have been extensively studied by previous works (e.g. Cowie and Douglas-Cowie, 1996; Abelin and Allwood, 2000; Cowie et al., 2001; Mozziconacci, 2002; Scherer, 2003; Barra et al., 2006; Schuller et al., 2007a; Busso et al., 2009).”
The production and recognition of emotions in speech: features and algorithms (2003, background): “This has been precisely investigated in studies like Abelin and Allwood (2000) or Tickle (2000) who made experiments in which American people had to recognize the emotion of either another American or a Japanese person only using the acoustic information (the utterances were meaningless, so there…”