Syed Abbas Ali|Sallar Khan|Humaira Perveen|Reham Muzzamil|Mahnoor Malik|Faiza Khalid
Urdu Language Translator using Deep Neural Network
urdu language pakistan 100 million speakers pakistan india afghanistan middle east low english literacy rate average urdu speaking person faces barriers communicating foreign people terms accessing information carrying business paper proposes interactive urdu english language speech translator using deep neural network asr module proposed pipeline composed deep neural network simpler compared traditional asr requires complex hand engineering like feature extraction resources like phoneme dictionary clearly seen proposed model shows high accuracy input recorded audio shows poor performance real time input one http request per input transcription produced english translation text text translation using python text blob library final output achieved delay 30 seconds furthermore tested provided statistical findings result shows value updating neural network layers bias standard deviation adam optimizer parameters set follows beta109 beta209 learning rate 001 meanwhile dropout rate kept 5 offer regularization observed value scalar maximum lies 0 008 little deviation 005 step value decreases afterwards bias maximum scalar increases positive values finally increases exponentially later stages training results discussed experiment section respectively proposed speech recognition model performs traditional automatic speech recognition systems efficiency simplicity robustness keywords deep rnn language translator ngram lm text blob translation urdu language asr