Show simple item record

A Feature Study for Classification-Based Speech Separation at Low Signal-to-Noise Ratios

contributor authorJitong Chen
contributor authorYuxuan Wang
contributor authorDeLiang Wang
date accessioned2020-03-13T00:23:18Z
date available2020-03-13T00:23:18Z
date issued2014
identifier issn2329-9290
identifier other6905738.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1144855?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Feature Study for Classification-Based Speech Separation at Low Signal-to-Noise Ratios
typeJournal Paper
contenttypeMetadata Only
identifier padid8327543
subject keywordsautoregressive moving average processes
subject keywordsfeature extraction
subject keywordslearning (artificial intelligence)
subject keywordssignal classification
subject keywordsspeech intelligibility
subject keywordsspeech processing
subject keywordsspeech recognition
subject keywordsARMA filtering
subject keywordsMRCG
subject keywordsSNR conditions
subject keywordsacoustic feature extraction
subject keywordsauto-regressive moving average
subject keywordsautomatic speech recognition
subject keywordsclassification-based speech separation
subject keywordscontextual information
subject keywordshuman speech intelligibility
subject keywordsmultiresolution cochleagram
subject keywordsnoise-dominant
subject keywordsnonstationary noises
subject keywordssignal-to-noise ratios
subject keywordsspe
identifier doi10.1109/TASLP.2014.2359159
journal titleAudio, Speech, and Language Processing, IEEE/ACM Transactions on
journal volume22
journal issue12
filesize1259802
citations0


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record