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Abstract:

In this session, we'll discuss the application of OpenSeq2Seq, an Nvidia Research project directed at speech and text processing, to telephone use cases in Healthcare. We will begin by describing the OpenSeq2Seq project and its goals. We will then cover the speech to text use cases in healthcare, related to member interactions with customer service representatives. Finally, we'll discuss our application of OpenSeq2Seq to the datasets, including normalization and modification to the OpenSeq2Seq code (e.g. in order to enable transfer learning) as well as our results

In this session, we'll discuss the application of OpenSeq2Seq, an Nvidia Research project directed at speech and text processing, to telephone use cases in Healthcare. We will begin by describing the OpenSeq2Seq project and its goals. We will then cover the speech to text use cases in healthcare, related to member interactions with customer service representatives. Finally, we'll discuss our application of OpenSeq2Seq to the datasets, including normalization and modification to the OpenSeq2Seq code (e.g. in order to enable transfer learning) as well as our results

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Topics:
AI in Healthcare, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Washington D.C.
Year:
2018
Session ID:
DC8230
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