Automatic speech classification to five emotional states based on gender information

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How researchers see this paper

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Paralinguistics in speech and language - State-of-the-art and the challenge (2013, background): “Several studies indicate that considering gender information in an automatic emotion recognition system leads to higher recognition accuracies (Ververidis and Kotropoulos, 2004; Vogt and Andre, 2006); however, it is not settled yet whether this is simply due to the different pitch registers of male…”
SPEECH EMOTION RECOGNITION USING SUPPORT VECTOR MACHINE (2010, background): “In the recent years, a great deal of research has been done to recognize human emotion using speech information [1], [2].”
Emotional speech recognition: Resources, features, and methods (2006, background): “Another option is to estimate feature statistics on the rising or falling slopes of contours as well as at their plateaux at minima/maxima (McGilloway et al., 2000; Ververidis and Kotropoulos, 2004; Bänziger and Scherer, 2005).”
Improving Automatic Emotion Recognition from Speech via Gender Differentiaion (2006, unknown): “This is demonstrated by (Ververidis and Kotropoulos, 2004) who show that the combined performance of a male and a female emotion recognizer is better than that of a gender-independent recognizer.”