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ICMCS
2008
IEEE
201views Multimedia» more  ICMCS 2008»
15 years 6 months ago
Logitboost weka classifier speech segmentation
Segmenting the speech signals on the basis of time-frequency analysis is the most natural approach. Boundaries are located in places where energy of some frequency subband rapidly...
Bartosz Ziólko, Suresh Manandhar, Richard C...
ICMCS
2010
IEEE
212views Multimedia» more  ICMCS 2010»
15 years 23 days ago
Homogeneous segmentation and classifier ensemble for audio tag annotation and retrieval
Audio tags describe different types of musical information such as genre, mood, and instrument. This paper aims to automatically annotate audio clips with tags and retrieve releva...
Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang
ISMIR
2005
Springer
176views Music» more  ISMIR 2005»
15 years 5 months ago
On the Modeling of Time Information for Automatic Genre Recognition Systems in Audio Signals
The creation of huge databases coming from both restoration of existing analogue archives and new content is demanding fast and more and more reliable tools for content analysis a...
Nicolas Scaringella, Giorgio Zoia
ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
15 years 5 months ago
Segment-based approach to the recognition of emotions in speech
A new framework for the context and speaker independent recognition of emotions from voice, based on a richer and more natural representation of the speech signal, is proposed. Th...
Mohammad T. Shami, Mohamed S. Kamel
ICDAR
2005
IEEE
15 years 5 months ago
The Neural-based Segmentation of Cursive Words using Enhanced Heuristics
This paper presents an Enhanced Heuristic Segmenter (EHS) and an improved neural-based segmentation technique for segmenting cursive words and validating prospective segmentation ...
Chun Ki Cheng, Michael Blumenstein