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Connectionist Temporal Classification for End-to-End Speech Recognition
Published on 2016-07-311992 Views
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 chal
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Presentation
Connectionist Temporal Classification for End-to-End Speech Recognition00:00
Fundamental Equation of Speech Recognition00:09
Recognition Conceptually: AM and LM01:13
Hidden Markov Models02:25
Context-Dependent States02:39
Duration Modeling03:35
State-of-the-Art ASR04:51
Let’s Take a Step Back05:37
Connectionist Temporal Classification06:34
Observations07:52
Problem with Best Path Decoding08:36
Enter WFST Decoding09:34
Results on Read Speech10:48
Results on Conversational Speech12:42
CTC Conclusions14:15
Thank You!16:13