Natural human to machine communication / Alon eirew

Post on 19-Jan-2017

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Transcript of Natural human to machine communication / Alon eirew

Natural Human to Machine Communication

By Alon Eirew

Who Am I

• Software Architect at Intel Multimodal Language Understanding Group• Smart Home, Robotics, Smart Car, Mobile & Wearables

• Lead Developer at Intel New Devices Group• Personal Assistant for Mobile and Wearables

• Lead Developer Telmap (Navigation App)• Navigation Assistant for Mobile

https://il.linkedin.com/in/aloneirew

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Agenda

What is Natural Communication?

Why is it interesting?

Overview the components and see some examples

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Human to Human

Natural Communication Feature

Change the way we are communicating with our smart devices

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Technologies that can’t support conventional input sources

The Era Of Conversational UI

How can I help you?

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Building Blocks

Hardware

Recognition

Understanding

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2

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Hardware and Recognition Modules

Automatic Sound Recognition

Speech To Text

Computer VisionObject RecognitionPerson RecognitionGesture Recognition

Intent Extraction (NLU)

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Intent extraction is the process of understanding commands, requests or promises conveyed in

human language.

Please turn off the lights in the living

room at 4PM

Location: living room

Time: 4PM

Object: lights

Action: turn off

Subject: (you)

World Knowledge

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User Knowledge

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Knowledge Use Cases

Semantic Fusion

Object [1] [N-Best]

Label Prob Location

Chair 0.7x1, y1, z1

Stool 0.4

Table 0.2

Label Prob Location

Table 0.8 x4, y4, z4

Stool 0.3 x4, y4, z4

Object 0.2 x4, y4, z4

Object [2] [N-Best]

Gesture List

Object Rec 1

Object Rec 2

End Point

Clean next to

this ???? ????

Word Prob

School Desk 0.7

Ship Deck 0.5

Sport Deko 0.2

ASR [N-Best]

Object [3] [N-Best]

Label Prob Location

Plant 0.7x7, y7, z7

Tree 0.4

Object 0.2

Dialog Features

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Thank You!