Abstract
Based on recent examples of the author’s work from the domains of Intelligent Speech, Music, and Sound Analysis, a comprehensive overview is given on currently obtainable performances in the field of Intelligent Audio Analysis. This comprises discrete classification tasks, namely, digit, spelling, phoneme, word, and non-linguistic vocalisation recognition alongside writer sentiment and speaker emotion, age, gender, intoxication, and sleepiness recognition. Further, continuous writer sentiment, and speaker interest and height determination as well as sound listener induced arousal and valence prediction are contained. Based on these performances, future perspectives are given.
We can only see a short distance ahead, but we can see plenty there that needs to be done.
—Alan Turing.
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References
Schiel, F.: Perception of alcoholic intoxication in speech. In Proceedings of Interspeech, pp. 3281–3284. Florence (2011)
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© 2013 Springer-Verlag Berlin Heidelberg
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Schuller, B. (2013). Vision. In: Intelligent Audio Analysis. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36806-6_14
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DOI: https://doi.org/10.1007/978-3-642-36806-6_14
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