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- W2183549961 abstract "Recognition ofspeaker identity basedonmodeling thestreams produced byphonetic decoders (phonetic speaker recognition) hasgained popularity during thepastfewyears. Twoofthemajorproblems thatarise whenphonebasedsystems arebeingdeveloped arethepossible mismatches between the development andevaluation dataandthelackoftranscribed databases. Data-driven segmentation techniques provide apo- tential solution totheseproblems because theydonotuse transcribed dataandcaneasily beapplied ondevelopment data minimizing themismatches. Inthis paperwecompare speaker recognition results using phonetic anddata-driven decoders. To this end,wehavecompared theresults obtained withtwosets of speaker verification systems; thefirst onebasedondata-driven units andthesecond oneonphonetic units. Results obtained on theNIST2006Speaker Recognition Evaluation datashowthat thedata-driven approach iscomparable tothephonetic one andthatfurther improvements canbeachieved bycombining bothapproaches." @default.
- W2183549961 created "2016-06-24" @default.
- W2183549961 creator A5025002731 @default.
- W2183549961 date "2007-01-01" @default.
- W2183549961 modified "2023-09-27" @default.
- W2183549961 title "Comparing Data-driven andPhonetic N-gramSystems for Text-Independent Speaker Verification" @default.
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- W2183549961 hasPublicationYear "2007" @default.
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