Quality Measurement of Speech Recognition Features in Context of Nearest Neighbour Classifier

摘要

The selection of the quality feature system is the key of successful speech recognition system. Therefore, the inquiry can be stated - how to choose the quality feature system? The concept of quality can be defined by comparing a set of inherent characteristics with a set of requirements. If these subjects are met, then high quality is achieved [16]. Also, more quality descriptions are represented in [6, 7, 18, 26]. The choice of quality features is the essential as low classification error can be achieved if quality features are used. On the contrary high classification error is achieved for not quality feature system. A variety of speech feature systems exists. Accordingly, currently quality of features is used to estimate by calculating the classification error. However, this method is limited as it causes running classification experiments with each explored feature system.