Robust Emotion Recognition using Spectral and Prosodic Features
In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner. The authors also delve into the complement...
| Κύριοι συγγραφείς: | Rao, K. Sreenivasa (Συγγραφέας), Koolagudi, Shashidhar G. (Συγγραφέας) |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
|
| Σειρά: | SpringerBriefs in Electrical and Computer Engineering,
|
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Emotion Recognition using Speech Features
ανά: Rao, K. Sreenivasa, κ.ά.
Έκδοση: (2013) -
Language Identification Using Spectral and Prosodic Features
ανά: Rao, K. Sreenivasa, κ.ά.
Έκδοση: (2015) -
Acoustic Modeling for Emotion Recognition
ανά: Anne, Koteswara Rao, κ.ά.
Έκδοση: (2015) -
Advances in Speech Recognition Mobile Environments, Call Centers and Clinics /
Έκδοση: (2010) -
Hierarchical Neural Network Structures for Phoneme Recognition
ανά: Vasquez, Daniel, κ.ά.
Έκδοση: (2013)