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Abstract: A new modular recurrent neural network (MRNN)-based method for continuous Mandarin speech recognition (CMSR) is proposed. The MRNN recognizer is composed of four main modules. The first is a sub-MRNN module whose function is to generate discriminant functions for all 412 base-syllables. It accomplishes the task by using four recurrent neural network (RNN) submodules. The second is an RNN module which is designed to detect syllable boundaries for providing timing cues in order to help solve the... (Update)
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BibTeX entry: (Update)
@misc{ recognition-modular,
author = "Mandarin Speech Recognition",
title = "A Modular RNN-Based Method for Continuous",
url = "citeseer.ist.psu.edu/749753.html" }
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Documents on the same site (http://www.cc.ntut.edu.tw/~enlab07/publications1.htm):
Modular Recurrent Neural Networks - For Mandarin Syllable (Correct)
Improvements Of The Philips 2000 Taiwan Mandarin - Benchmark System Yuan-Fu (Correct)
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