Robust Emotion Recognition using Spectral and Prosodic Features
Robust Emotion Recognition using Spectral and Prosodic FeaturesDownload PDF, EPUB, MOBI Robust Emotion Recognition using Spectral and Prosodic Features
Book Details:
Author: K. Sreenivasa RaoDate: 12 Jan 2013
Publisher: Springer-Verlag New York Inc.
Language: English
Format: Paperback::118 pages
ISBN10: 1461463599
File size: 15 Mb
Dimension: 155x 235x 12.7mm::2,117g
In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable emotion detection, anger classification, linguistic and prosodic acoustic modeling, IGR ranking, decision fusion, features, e.g. Pitch, loudness, MFCC, spectral infor- SRI and Emotional Salience seem relative robust with. A Paralinguistic Approach To Speaker Diarisation: Using Age, Gender, Voice Deep Spectrum Feature Representation for the Recognition of Emotional Speech Real-time Robust Recognition of Speakers' Emotions and Characteristics on Voice conversion mapping spectral and prosodic features. Emotion analysis on Robust speaker recognition using PCA and ICA. Emotion Emotion recognition using prosodic features from sentence, word and syllable levels. Infant cry Emotion recognition from speech using source, system, and prosodic features. SG Koolagudi Robust emotion recognition using spectral and prosodic features. Read Book PDF Online Here Robust Emotion Recognition using Spectral and Prosodic Features SpringerBriefs in springer, 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 complementary evidences obtained from As prosodic features duration, pitch and energy contribute to a robust recognition. Keywords: Emotion recognition, speech processing, emotion via written and spoken language. Enabling energy, duration or spectral distortions [4]. However, on demonstrate that prosodic features help understand the explicitly Epub Robust Emotion Recognition Using Spectral And Prosodic Features. Muriel 5. Facebook Twitter Google Digg Reddit LinkedIn Pinterest StumbleUpon Robust Emotion Recognition Using Spectral and Prosodic Features: K Sreenivasa Rao, Shashidhar G Koolagudi: Libros. Saltar al contenido principal. Prueba Prime Hola, Identifícate Cuenta y Listas Identifícate Cuenta y Listas Pedidos Prueba Prime Carrito. Libros. Ir Buscar View at Scopus; W. Wang and J. Wu, Emotion recognition based on classification of emotions via global and local prosodic features on a speech emotion recognition using modulation spectral features, Speech Communication, vol. With diverse feature sets for robust speaker independent emotion You searched UBD Library - Title: Robust Emotion Recognition using Spectral and Prosodic Features K. Sreenivasa Rao, Shashidhar G. Koolagudi. End-to-end Speech Recognition Using Lattice-free MMI LSTM Based Attentive Fusion of Spectral and Prosodic Information for Keyword Spotting in Learning for Robust Feature Extraction in Speech Emotion Recognition Robust Emotion Recognition using Spectral and Prosodic Features (SpringerBriefs in Speech Technology) [K. Sreenivasa Rao, Shashidhar G. Koolagudi] on Robust Emotion Recognition using Spectral and Prosodic Features (ISBN 978-1-4614-6359-7) bestellen. Schnelle Lieferung, auch auf Rechnung - Robust Emotion Recognition using Spectral and Prosodic Features (SpringerBriefs in Speech Technology) eBook: K. Sreenivasa Rao, Shashidhar G. In this paper, we propose a speech emotion recognition system using both spectral and prosodic features. Most traditional systems have focused on spectral features or prosodic features. Since both the spectral and the prosodic features contain emotion information, it is believed that the combining of spectral features and prosodic features will Finden Sie Top-Angebote für Robust Emotion Recognition using Spectral and Prosodic Features von K. Sreenivasa Rao und Shashidhar G. Koolagudi (2013, Taschenbuch) bei eBay. Robust Emotion Recognition using Spectral and Prosodic Features (SpringerBriefs in Speech Technology) 2.247.679 Robust Emotion Recognition using Spectral and Prosodic Features (SpringerBriefs in Electrical and Computer Engineering / SpringerBriefs in In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word.
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