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However, such speech recognition cannot be used in our normal environment.

It aims to obtain the correct speech information. Most of the existing speech recognition products require the speech to be extracted in a mall noise or no noise environment. Speech Recognition in High Noise Environment Speech Recognition Systems A Comprehensive Study Of Concepts And MechanismĪBSTRACT Speech Recognition Systems now-a-days use many interdisciplinary Technologies ranging from Pattern Recognition, Signal Processing, Natural Language Processing implementing to unified statistical framework. Furthermore, as children grow, their vocal

One of the reasons is that children speech has high fundamental frequency that is Comparable to formant frequency values. Improving Children Speech Recognition through Feature Learning from Raw Speech SignalĬhildren speech recognition based on short-term spectral features is a challenging task.

Speech recognition is the inter-disciplinary sub-field of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. Speech recognition IEEE PAPER, IEEE PROJECT