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» Automatic Understanding of Signals
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ICASSP
2010
IEEE
13 years 10 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
TSD
2010
Springer
13 years 8 months ago
Expressive Gibberish Speech Synthesis for Affective Human-Computer Interaction
In this paper we present our study on expressive gibberish speech synthesis as a means for affective communication between computing devices, such as a robot or an avatar, and thei...
Selma Yilmazyildiz, Lukas Latacz, Wesley Mattheyse...
ICASSP
2011
IEEE
13 years 1 months ago
Polyphase filters - A model for teaching the art of discovery in DSP
By its very nature DSP is a mathematically heavy topic and to fully understand it students need to understand the mathematical developments underlying DSP topics. However, relying...
Mark L. Fowler
ICASSP
2009
IEEE
14 years 4 months ago
Dynamic texture models of music
In this paper, we consider representing a musical signal as a dynamic texture, a model for both the timbral and rhythmical qualities of sound. We apply the new representation to t...
Luke Barrington, Antoni B. Chan, Gert R. G. Lanckr...
ICASSP
2009
IEEE
14 years 4 months ago
Incorporating prior knowledge on the digital media creation process into audio classifiers
In the process of music content creation, a wide range of typical audio effects such as reverberation, equalization or dynamic compression are very commonly used. Despite the fact...
Maxime Lardeur, Slim Essid, Gaël Richard, Mar...