Titlebook: New Approaches to Problems in Liquid State Theory; Inhomogeneities and Carlo Caccamo,Jean-Pierre Hansen,George Stell Book 1999 Springer Sc

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J. S. H?yement based approach reaches accuracies in the range of what has been reported for the inter-transcriber agreement for conversational speech. Furthermore, our burst detector outperforms previous tools with accuracies between 98?% and 74?% for the different conditions in read speech, and between 82?%

molest

EWE

D. Levesquealizing structured GMM, where the components of Gaussian densities are structured with respect to the speaker classes. In a first approach mixture weights of the structured GMM are set dependent on the speaker class. In a second approach the mixture weights are replaced by explicit dependencies betw

Abutment

D. Levesquealizing structured GMM, where the components of Gaussian densities are structured with respect to the speaker classes. In a first approach mixture weights of the structured GMM are set dependent on the speaker class. In a second approach the mixture weights are replaced by explicit dependencies betw

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痛恨

F. Ladoel of difficulty of the challenge, we nevertheless were able to obtain a surprisingly high precision of 35.81% and recall of 57.25% on the task of identifying the rhyming words, giving a total f-score of 44.06%. These encouraging results were obtained in the face of highly noisy data, lack of clear

Recess

G. Parisifference has been observed in previous studies relying on HMM-based modelling, this paper examines these modelling variants in the framework of DNN-based speech synthesis. Listening tests are conducted to evaluate the four modelling approaches, and to assess the performance of DNN-based Arabic speec

Affluence

Y. Martínez-Ratón,J. A. Cuesta,R. Van Roij,B. Mulderfference has been observed in previous studies relying on HMM-based modelling, this paper examines these modelling variants in the framework of DNN-based speech synthesis. Listening tests are conducted to evaluate the four modelling approaches, and to assess the performance of DNN-based Arabic speec

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sleep-spindles

R. Evanssis and monitorization of diseases that affect speech..Most of the recent work on speech-based diagnosis tools addresses the extraction of features, and/or the development of sophisticated machine learning classifiers [., ., .,.,., .]. The results have shown remarkable progress, boosted by several j