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ejTalk Presentations

Future Presentations

New components and methods for advanced dialog: Embracing (and hiding) complexity

SpeechTEK Conference 2015: SpeechTEK University

August 20, 2015

New York City

SpeechTEK Conference Page

SpeechTEK University Class Information


Past Presentations

Mobile Voice Conference 2015: Creating an Advanced Dialog Application, An in-depth look at the process

Mobile Voice Conference 2013: Advanced Dialog Workshop: Hands-on experience with a conversational framework

Mobile Voice Conference 2013: Mastering Multiple Modalities

SpeechTEK West Conference 2012: Heading Toward Intelligent Agents: Examining the Path Ahead

Mobile Voice Conference 2012: Multi-turn Context Sensitive Exchanges: They change the game

SpeechTEK Conference 2011: Personal Agents Get Smarter: Controlling Conversational Chaos

SpeechTEK Europe 2010: Avatar Challenge, Experts’ Prize Winner

Mobile Voice Conference 2010: Table Talking: Conversational Rendering of Table Data

SpeechTEK Conference 2009: New Dialog Engine Paradigms

Voice Search Conference 2009: Synthetic Agent Relationship Adaptation Via Meta-Dialog

SpeechTEK Conference 2008: Advancing Toward Intelligent Agents

SpeechTEK West Conference 2007: Today and the Future of Wearable Agents

SpeechTEK Conference 2007: Enhancing Recognition Using Pre- and Post-ASR Manipulation

SpeechTEK Magazine 2002: Speech is NOT Dialog

DCI-CRM Conference Chicago 2001

Human Computer Conversation Workshop 2000


Mobile Voice Conference 2015

Creating an Advanced Dialog Application, An in-depth look at the process [PDF]

[PPTX version with embedded WMV windows videos]

This one hour presentation to the full conference was a joint effort by the AVIOS Advanced Dialog Group. It examines a single turn in an advanced dialog from Business through Architecture and ending in an actual Implementation.

Note: The implementation tools, a.k.a. ourCassandra Project is going public soon!)

Mobile Voice Conference 2013

Advanced Dialog Workshop: Hands-on experience with a conversational framework

This was the presentation for the 1 hour and 40 minute workshop. It gives a quick overview of the ejTalker platform. It also explains some techniques and concepts for Rules, Adaptation, Variability and Memory.

Be sure to checkout (on the last slide) the other experts in the field that contributed to this workshop!

Note: the server mentioned in the slides was local to the classroom and is not accessable from the cloud. (The Cassandra Project exists to change that!)

Mobile Voice Conference 2013

Mastering Multiple Modalities

This presentation examines the interplay of truly multimodal conversation management

SpeechTEK Conference 2012

Heading Toward Intelligent Agents: Examining the Path Ahead

Session SD101:

What makes artificial agents intelligent? We perform group thought experiments where we assume that individual technical or resource obstacles can be removed. What if we could find (or build) vast amounts of marked conversational data and “remember” all individual user-agent interactions over all time? What if speech synthesis could be as subtle and nuanced as human speech? What if speech recognition worked at human levels of accuracy? What if we could add some new magical component? Where is the biggest gap in today’s intelligent, conversational, synthetic agent platform?

Mobile Voice Conference 2012

Multi-turn Context Sensitive Exchanges: They change the game

SpeechTEK Conference 2011

Personal Agents Get Smarter and Controlling Conversational Chaos

Session D303 – Smart Synthetic Agents:

The assistive agent designed for Baby Boomers and beyond illustrates the various challenges and solutions pertaining to the idea of natural conversation.

SpeechTEK Europe 2010: Avatar Challenge

Experts’ Prize Winner

Cassandra is one manifestation of the ejTalker conversation engine. ejTalker coordinates all the aspects of the conversation: Speech recognition, synthesis, avatar display, Multimodal interactions (e.g. touch screens). Inherent in the engine is a persistent memory of previous conversational states and data, inheritance of base behaviors, adaptive behaviors (ellipsis), response generation variation, etc.

Mobile Voice Conference 2010

Table Talking: Conversational Rendering of Table Data

How to deal with conversations about tables of data (think spreadsheets or multi-column lists) in a generic way.

SpeechTEK Conference 2009

New Dialog Engine Paradigms

The rate of improvement in the richness and complexity of human-computer dialogue is slowing. Why? Doesn’ t the end user want more sophistication, power, and naturalness? Or, with current technology, is it just too difficult to make anything much more complicated? As developers, what incremental design upgrade could you use today? Do we know what steps to take? As a business paying for the development of a voice system, what more could a system do for your customers? If there is a will in the community to do better, then why aren’ t we? What should our next steps be?

Voice Search Conference 2009

Synthetic Agent Relationship Adaptation Via Meta-Dialog: What people expect from an intelligent agent

How to add automaticity conversations.

SpeechTEK Conference 2008

Advancing Toward Intelligent Agents

Going forward, voice systems will incorporate other existing and proven technologies to make applications smarter.

SpeechTEK West Conference 2007

Today and the Future of Wearable Agents

Intelligent conversational agents as a warehouse selector companion.

SpeechTEK Conference 2007

Enhancing Recognition Using Pre- and Post-ASR Manipulation

The basic automatic speech recognition (ASR) result string is sufficient for most tasks. But in longer sessions or in more challenging environments an application can benefit greatly with even small amounts of error reduction.

Voice Search Conference 2007

Enhancing Recognition Using Pre- and Post-ASR Manipulation

The basic automatic speech recognition (ASR) result string is sufficient for most tasks. But in longer sessions or in more challenging environments an application can benefit greatly with even small amounts of error reduction.

SpeechTEK Magazine 2002

Speech is NOT Dialog

Is there a difference between speech recognition and conversation management? The recognizer hears what was said and then the computer just does something and responds, right? Actually there are big differences between the problem of deciphering the words contained in an utterance and the problem of carrying on a conversation.

DCI-CRM Conference Chicago 2001

The Allure and Power of Talking with the Machine

Our tools have always been our friends. And we like to talk to our friends.

Human Computer Conversation Workshop 2000

A FUNDAMENTAL ARCHITECTURE TO INTEGRATE CONVERSATION MANAGEMENT ENGINES WITH CONVERSATION DEVELOPMENT AND EVALUATION TOOLS

Building a conversational system, for even a small domain, is a very large task.