Skip to main navigation
Skip to search
Skip to main content
Queen's University Belfast Home
Help & FAQ
Home
Profiles
Organisations
Research output
Projects
Impact
Datasets
Activities
Prizes
Press/Media
Student theses
Facilities
Search by expertise, name or affiliation
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)
295
Downloads (Pure)
Overview
Fingerprint
Profiles
(1)
Fingerprint
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.
Sort by
Weight
Alphabetically
Computer Science
Channel Distortion
100%
Preprocessors
33%
Robust Speech Recognition
66%
Physics
Auroras
33%