Sentence examples for processing the problem of from inspiring English sources

In fact, in speech processing the problem of producing the best model error signal for achieving best audio quality has been an important issue both in text-to-speech synthesis (TTS) and speech coding alike.

These examples reveal the underlying problem with processing – the problem of a lack of a systematic approach like, for example, "The Toyota Way" or the way FEDEX or Amazon handle their processing problems.

In the line of the work for efficient distributed graph processing, the problem of finding better graph partitions has been studied in recent decades.

A new approach to query processing: the problem of early/late materialization (when to perform tuple reconstruction), novel query plans (in some approaches a query plan is not a DAG anymore) and cost models, a new algebra of operations.

Let us summarize them over several different column-store implementations: A new approach to query processing: the problem of early/late materialization (when to perform tuple reconstruction), novel query plans (in some approaches a query plan is not a DAG anymore) and cost models, a new algebra of operations.

However, the problem of unknown parameters comes from the "censoring," which leads to the correlation between the optimization objective function and the unknown model parameters; this is unique to the optimal ALT plan design, and increases the difficulty in processing the problems of model deviations and limited sample size.

Although MFCCs have been widely used in speech signal processing systems, the problem of using this acoustic measure in the assessment of pathological voice quality is the difficulty of interpreting MFCCs in relation to laryngeal physiology.

In the following, we will describe the strategies followed to parallelize a specific image processing application (the problem of road recognition) using the proposed generic MPSoC design methodology with refinement of a generic parallel architecture model to meet the specific application computation and communication needs.

Future advancements of technology, especially in manufacturing electronic components including cameras, GPUs, and CPUs, will provide more accurate data, enable faster processing, and solve the problem of system portability, thus expanding the possibilities of artificial perception systems in neurorehabilitation [ 7].

The ENN with simpler structure than traditional neural networks is capable of processing the clustering problems which have a range of feature values, supervised learning, continuous input, and descriptive output.

The third is to combine the previous two aspects and propose a more complete multichannel T-F image processing approach to the problem of Electroencephalogram (EEG) abnormality diagnostic and localization.