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» Epoch Extraction From Speech Signals
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ISMIR
2003
Springer
133views Music» more  ISMIR 2003»
14 years 16 days ago
Chord segmentation and recognition using EM-trained hidden markov models
Automatic extraction of content description from commercial audio recordings has a number of important applications, from indexing and retrieval through to novel musicological ana...
Alexander Sheh, Daniel P. W. Ellis
ICASSP
2009
IEEE
14 years 2 months ago
Data hiding in hard-copy text documents robust to print, scan and photocopy operations
This paper describes a method for hiding data inside printed text documents that is resilient to print/scan and photocopying operations. Using the principle of channel coding with...
Avinash L. Varna, Shantanu Rane, Anthony Vetro
TASLP
2008
98views more  TASLP 2008»
13 years 7 months ago
An Integrative and Discriminative Technique for Spoken Utterance Classification
Abstract-- Traditional methods of spoken utterance classification (SUC) adopt two independently trained phases. In the first phase, an automatic speech recognition (ASR) module ret...
Sibel Yaman, Li Deng, Dong Yu, Ye-Yi Wang, Alex Ac...
MM
2005
ACM
146views Multimedia» more  MM 2005»
14 years 27 days ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
ACSW
2004
13 years 8 months ago
Detecting Stress in Spoken English using Decision Trees and Support Vector Machines
This paper describes an approach to the detection of stress in spoken New Zealand English. After identifying the vowel segments of the speech signal, the approach extracts two dif...
Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Wa...