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An iterative longest matching segment approach to speech enhancement with additive noise and channel distortion
Ming Ji
, Danny Crookes
School of Electronics, Electrical Engineering and Computer Science
Speech, Image and Vision Systems
Research output
:
Contribution to journal
›
Article
›
peer-review
8
Citations (Scopus)
292
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Dive into the research topics of 'An iterative longest matching segment approach to speech enhancement with additive noise and channel distortion'. Together they form a unique fingerprint.
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Mathematics
Speech Enhancement
100%
Speech
69%
Additive Noise
62%
Corpus
47%
Enhancement
41%
Speech Recognition
26%
Feature Extraction
26%
Data Model
20%
Baseline
19%
Update
17%
Iterative Algorithm
16%
Experiment
13%
Modeling
11%
Demonstrate
10%
Performance
10%
Estimate
8%
Robust Speech Recognition
2%
Engineering & Materials Science
Speech enhancement
65%
Additive noise
62%
Speech recognition
33%
Data structures
14%
Feature extraction
13%
Computer simulation
9%
Experiments
6%