Automatic Speech Recognition System Based on Hybrid Deep Neural Networks

This work presents the idea of discourse upgrade by half breed DNN with stage remuneration technique to improve exactness of framework. The first objective of parallel veil assessment was to recognize the areas where the SNR was higher than 0 dB. What's more we have fostered a calculation for assessing the dynamic level of a discourse signal in any event, when undeniable degrees of clamor are available. The clamor can be added substance or convolutive. The point of the commotion decrease calculations is to gauge the perfect discourse signal from the uproarious chronicles to improve the quality and comprehensibility of the upgraded signal. In this work, it gives discourse upgrade under various uproarious conditions. After this, it furnishes the exhibition correlation with existing DNN technique as far as WER and SNR