Density function
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Publications (30)

1LargeVocabulary SpeakerIndependent Continuous Speech Recognition with Semi.Continuous Hidden Markov Modelsdistribution. b:,O,', or continuous output probability density function b.tx) associated with each st•re j of the unobservable...

2Overview: Continuous Speech Recognition I1989  Janet M. Baker, Ph.D.from multiple VQ codebooks, whereby the probability density function for each codebook is determined by combining the co...

3Signal Processing For Robust Speech Recognitionsenone \[4,8\], a generalized statebased probability density function, as the basic unit to compute the likelihood from acoustical...

4Adaptation To New Microphones Using TiedMixture NormalizationGaussian nfixture model. Specifically the probability density function for an observation conditioned on the H/vIM state is...

5Summarizing Speech Without Text Using Hidden Markov Models2006  Sameer Maskey,Julia Hirschbergi to state j; bj(ojk) : The observation probability density function, estimated by ΣMk=1cjkN(ojk, µjk,Σjk), where ojk denotes...

6Temporal Classification of Text and Automatic Document Dating2006  Angelo Dalliperiod number and score matrix represent a probability density function that shows the likelihood of a word appearing on a ...

7The BBN BYBLOS Continuous Speech Recognition System1989  Richard Schwartz,Chris Barry,Yenlu Chow,Alan Deft,MingWhel Feng,Owen Kimball,Francis Kubala,Dr. John Makhoul,Jeffrey Vandegriftthe feature space. We use a nonparametric probability density function (pdf) to have flexibility in the model, but we lose...

8A Tree.Trellis Based Fast Search for Finding the N Best Sentence Hypotheses in Continuous Speech Recognition1990  Frank K. Soong,EngFong Huangcomponent continuous Gaussian mixture probability density function was trained. Both the best string Viterbi search and...

9An Overview of the SPHINXII Speech Recognition SystemVQ codeword is regarded as a continuous probability density function. For the SCHMM, an appropriate acoustic representation...

10MAP Estimation of Continuous Density HMM : Theory and Applications1992  JeanLuc Gauvain,ChinHui Leeto be estimated from the sample x with probability density function (p.d.f.) f(.lO), and if g is the prior p.d.f, of 0...