Integration of affective cues is considered a major factor towards future human-machine communication with respect to more naturalness. Today's in-car interfaces are already enhanced by speech recognition. In this contribution the authors therefore investigate the effects of acoustic in-car conditions on the recognition of emotion within speech, as it may be highly susceptible to noise. Diverse driving situations and car-types and a public emotion database are used for tests. Results are presented for the general impact of noise and applying noise and speaker adaptation.
Effects of in-car noise-conditions on the recognition of emotion within speech
2007
2 Seiten, 2 Bilder, 3 Tabellen, 3 Quellen
Aufsatz (Konferenz)
Datenträger
Englisch
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