An example of the complexity of natural language understanding in assistants. Accuracy gets more essential in business applications. Likely technical. Usually all slides and recordings are placed in the site at the bottom within a few days.
CSIG (Cognitive Systems Institute Group) Talk — Aug 9, 2018 - 10:30-11am US Eastern
Title: Correcting person names for automatic speech recognition (ASR) vendor-agnostic voice assistants
Speaker: Vijay Ramakrishnan, Tue Minh Vo (Cisco)
Abstract:
ASR systems trained on generic data often mis-transcribe domain-specific words and phrases. For voice assistants, errors in the ASR transcript cascade to the assistant's natural language understanding (NLU) components. We focus on the problem of ASR errors in person names and describe a novel method of correcting person names by leveraging a domain- specific language model (LM), and character and phoneme-based information retrieval (IR) techniques.
Short bios:
Vijay Ramakrishnan is a ML/NLP engineer at Cisco's Cognitive Collaboration Group where his team develops conversational Al products for Cisco's collaboration portfolio. His research interests include deep networks for domain- specific ASR, empirical methods for NLP and ML for sequence models.
Bio: Minh-Tue Vo is a senior engineer at Cisco's Cognitive Collaboration Group where his team develops conversational Al
products for Cisco's collaboration portfolio. His research interests include deep networks for domain-specificASR, empirical methods for NLP and ML for sequence models.
Zoom meeting Link: https://zoom.us/j/7371462221
Zoom Cailin: (415) 762-9988 or (646) 568-7788 Meeting id 7371462221
Zoom International Numbers: https://zoom.us/zoomconference
( Check the website in case the date or time changes: http://cognitive-science.info/community/weekly-update/ )
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