EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding

29 Jul 2015Yajie MiaoMohammad GowayyedFlorian Metze

The performance of automatic speech recognition (ASR) has improved tremendously due to the application of deep neural networks (DNNs). Despite this progress, building a new ASR system remains a challenging task, requiring various resources, multiple training stages and significant expertise... (read more)

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