• No results found

Title: Back-Propagation Neural Network for Speech Recognition- A Survey

N/A
N/A
Protected

Academic year: 2020

Share "Title: Back-Propagation Neural Network for Speech Recognition- A Survey"

Copied!
10
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1 shows the speech recognition process can generally be divided in many different components illustrated in Fig

References

Related documents

 Arozullah AM, Daley J, Henderson WG, Khuri SF: Multifactorial risk index for predicting postoperative respiratory failure in men after major

Fault-Tolerant Adaptive Model Predictive Control Using Joint Kalman Filter for Small-Scale

The main aim of this study was to evaluate the effi- ciency of the gaseous hydrogen cyanide treatment on pine wood nematode ( B. xylophilus ) mortality in a model experimental

Health careers education teachers have a broad and comprehensive understanding of technical knowledge and skills for the specific health-care occupations in which teachers

The previous works had many drawbacks and therefore could not produce accurate results as expected. They also some had limitations due to unavailability of the data

Compared with each other, the significant differences between experimental groups EDTA1, EDA2 and EDTA3 maintained namely: length of primary gill lamella measured in EDTA1 group is