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- W2186815686 abstract "This paper describes continuous speech recognition experiments on a Romanianlanguage speech database,by using HiddenMarkovModels(HMM).We compare therecognition ratesobtained inour ASR systemrealising front-ends based on features extracted byperceptual variants ofcepstral analysis andlinear prediction andbysimple linear prediction. Thebest results obtained with36coefficients mel-frecquency cepstral coefficients (MFCC)are used as basis torankthefront-ends based on LPC.Thesecond rankisverypromising fortheperformance obtained with 5 perceptual linear prediction (PLP)coefficients, obviously better atthelast ranked performance ofthesimple linear prediction coefficients (LPC). Wereorganized thedatabase asfollows: one database formalespeakers, one database forfemale speakers andone database forbothmaleandfemale speakers." @default.
- W2186815686 created "2016-06-24" @default.
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- W2186815686 date "2006-01-01" @default.
- W2186815686 modified "2023-09-27" @default.
- W2186815686 title "A Comparative StudyofFeature Extraction MethodsApplied to Continuous Speech Recognition inRomanianLanguage" @default.
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- W2186815686 hasPublicationYear "2006" @default.
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