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» Automatic Understanding of Signals
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93
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ICASSP
2008
IEEE
15 years 10 months ago
A no-reference perceptual blockiness metric
A novel no-reference blockiness metric that can automatically and perceptually quantify blocking artifacts of DCT coding is presented. The proposed metric is built upon the specif...
Hantao Liu, Ingrid Heynderickx
ICASSP
2008
IEEE
15 years 10 months ago
A comparative study of probabilistic ranking models for spoken document summarization
The purpose of extractive document summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a tar...
Shih-Hsiang Lin, Yi-Ting Chen, Hsin-Min Wang, Bin ...
88
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Rhythmic similarity of music based on dynamic periodicity warping
This paper introduces a new way to measure rhythmic similarity between two musical pieces using periodicity spectra. In order to detect similarity for pieces of different tempi, t...
Andre Holzapfel, Yannis Stylianou
125
Voted
ICASSP
2008
IEEE
15 years 10 months ago
BIC-based audio segmentation by divide-and-conquer
Audio segmentation has received increasing attention in recent years for its potential applications in automatic indexing and transcription of audio data. Among existing audio seg...
Shih-Sian Cheng, Hsin-Min Wang, Hsin-Chia Fu
140
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Irrelevant variability normalization based HMM training using map estimation of feature transforms for robust speech recognition
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...
Donglai Zhu, Qiang Huo