Using Commonsense Reasoning to Improve Voice Recognition.

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Presentation transcript:

Using Commonsense Reasoning to Improve Voice Recognition

Speech Recognition Disambiguate phonetically similar words Improve error correction interfaces Improve overall recognition accuracy By integrating the Microsoft Speech API and ConceptNet, we hope to:

Speech Recognition Here is how our prototype is going to work: I was at the school the other day. I walked up to the (text being dictated appears here)

Speech Recognition User Speaks: I was at the school the other day. I walked up to the principal

Speech Recognition Speech is Processed: I was at the school the other day. I walked up to the principle principal the principle of of the principal Voice recognition engine suggestions

Speech Recognition The Context is analyzed using ConceptNet I was at the school the other day. I walked up to the principle principal the principle of of the principal chalkboard textbook teacher principal Words in ConceptNet for “school”

Speech Recognition Options are calculated and ranked: I was at the school the other day. I walked up to the principal principle principal the principle of of the principal chalkboard textbook teacher principal principle the principle of of the principal The voice recognition input is intelligently sorted by how much each word makes sense, contextually