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An Articulatory Feature-Based Tandem Approach and Factored Observation Modeling.
We demonstrate through TIMIT phoneme recognition experiments that the proposed technique outperforms the conventional TANDEM approach.
This is similar to the MLP-derived features used in the tandem approach [21 23].
The former is called the hybrid approach [14, 19, 20], and the latter is called the tandem approach [21 23].
Encouraged by the success of DNNs in the hybrid approach, researchers reevaluated the tandem approach using DNNs and achieved similar performance improvements [3,14 20].
The study of this paper is based on the hybrid approach, though the developed technique can be equally applied to the tandem approach.
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Some comparative studies were conducted for the hybrid and tandem approaches, though no evidence supports that one approach clearly outperforms the other [21,22].
The tandem SNP approach has several distinct advantages over other approaches which also analyze circulating fetal nucleic acids in maternal blood.
A collaborative and distributed tandem tracking approach is then proposed to realize tracking efficiency including the accuracy and responsiveness.
Molecular simulation provided structural insights for the design of derivatives that were efficiently generated by our recently developed 3-step tandem synthetic approach, resulting in the discovery of compound 2h with biochemical potency at the single-digit micromolar level.
Using a sensitive and robust tandem MS approach with settings presented elsewhere [41], it was possible to conveniently fingerprint these molecules.
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