Acoustic classification and segmentation using modified spectral roll-off and variance-based features
Authors:
- Marko KosMKMarko Kos
- Zdravko KačičZKZdravko Kačič
- Damjan VlajDVDamjan Vlaj
- 1 March 2013
- journal article
- research article
- Published by Elsevier in Digital Signal Processing
- Vol. 23 (2) , 659-674
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- A two level strategy for audio segmentationDigital Signal Processing, 2011
- Three-Stage Framework for Unsupervised Acoustic Modeling Using Untranscribed Spoken ContentETRI Journal, 2010
- Online Speech/Music Segmentation Based on the Variance Mean of Filter Bank EnergyEURASIP Journal on Advances in Signal Processing, 2009
- Detection of speech and music based on spectral trackingSpeech Communication, 2008
- Voice-Based Gender Identification in Multimedia ApplicationsJournal of Intelligent Information Systems, 2005
- Pitch Correlogram Clustering for Fast Speaker IdentificationEURASIP Journal on Advances in Signal Processing, 2004
- Speech/music segmentation using entropy and dynamism features in a HMM classification frameworkSpeech Communication, 2003
- Musical genre classification of audio signalsIEEE Transactions on Speech and Audio Processing, 2002
- Automatic transcription of Broadcast NewsSpeech Communication, 2002
- Audio Classification in Speech and Music: A Comparison between a Statistical and a Neural ApproachEURASIP Journal on Advances in Signal Processing, 2002