SpeechTEK Europe home
SpeechTEK Europe 2011
25 - 26 May 2011 • Copthorne Tara Hotel • London, UK
SpeechTEK University • 24 May 2011
SpeechTEK University - Sunday, April 8, 2018

SpeechTEK University courses provide in-depth, 3-hour seminars on compelling topics for speech technology and information technology professionals. Experienced speech technology practitioners teach each class in an intimate classroom setting to foster an educational and structured learning experience. If you are considering deploying a speech application, looking to increase your knowledgebase in one of the key areas below, or you simply need a speech technology refresher, attend a SpeechTEK University course. These courses are separately priced or are included with the purchase of a Platinum Pass.

STKU-1 – Natural Language Understanding
13:30 - 16:30
Deborah Dahl, Principal - Conversational Technologies

Enterprise virtual agents and chatbots are becoming important for customer support. Through developer tools such as Microsoft LUIS, IBM Watson, the Alexa Skills Kit, and Nuance Mix, natural language understanding capabilities are becoming accessible to developers. New techniques such as deep learning are leading to rapid improvements in the technology. All of these factors are making this an exciting time for natural language understanding applications. This workshop brings attendees up-to-date on natural language understanding technology, covering three important topics: 1) the spectrum of different types of natural language applications; 2) the technologies that underlie natural language interaction; and 3) the natural language understanding development process, looking at some open source options. We work hands-on with some of the current development tools. Attendees are welcome to bring their own ideas for applications for discussion.

Participants are expected to bring a laptop for use during this workshop. Laptops will not be provided.

STKU-2 – Learn to Use the Kaldi Speech Toolkit
13:30 - 16:30
Nagendra Goel, CEO - GoVivace Inc.

Kaldi is an open source toolkit for research in speech recognition and speech signal processing. Due to its efficient and accurate implementation of many algorithms, this toolkit is leveraged by many organizations that develop speech technology. This tutorial introduces Kaldi in a gentle manner, to improve your level of comfort with the software. This tutorial is aimed toward providing hands-on experience with Kaldi, including setup and training of a basic speech recognizer. The structure of the code and the basics of Kaldi operations are explained, with a general overview of the toolkit capabilities. Kaldi input and output methods, file structure, parallelization, and piping mechanisms are explained. The focus is on getting a hands-on experience with the tools and getting a basic system working during the tutorial.

Participants are expected to have some Linux OS experience and a level of comfort with command line. They are expected to bring either a MacBook or Linux laptop, or have SSH access to a remote Linux machine for use during this workshop. Laptops will not be provided.

STKU-3 – Designing Natural Language Home Assistants Using Amazon Alexa
13:30 - 16:30
David Attwater, Senior Scientist - Enterprise Integration Group

This workshop focuses on the practical aspects of designing home assistants, drawing on video clips of users of the technology showing good and bad design practices. Attendees do paper and pencil hands-on design work. Attendees also learn the design principles that underpin the design of sustained natural conversations, which include the following:

  • A brief overview of the technology and the underlying speech technologies
  • Who uses home assistants and for what?
  • How do I present the correct narrative voice and persona for my assistant?
  • How do I signpost the features of my user interface?
  • How do I keep the user interface stable while making it feel natural?

 

SpeechTEK University - Wednesday, April 11, 2018

SpeechTEK University courses provide in-depth, 3-hour seminars on compelling topics for speech technology and information technology professionals. Experienced speech technology practitioners teach each class in an intimate classroom setting to foster an educational and structured learning experience. If you are considering deploying a speech application, looking to increase your knowledgebase in one of the key areas below, or you simply need a speech technology refresher, attend a SpeechTEK University course. These courses are separately priced or are included with the purchase of a Platinum Pass.

STKU-4 – Build Your Own Cortana Skill - This workshop has been canceled.
13:30 - 16:30
Dorrene Brown, Program Manager, Cortana - Microsoft

The Cortana Skills Kit is a collection of APIs and technologies to build conversationally interesting experiences for Cortana. We run through the skills kit, build a skill together, and discuss best practices for conversational AI. Skills built in this session work across Windows 10, Android, iOS, and headless devices such as the Harman Kardon Invoke. Following this session, attendees will be able to intelligently discuss the skills kit with partners and will know where to go for support and help building skills in the future.

Participants are expected to bring a laptop for use during this workshop. Laptops will not be provided.

STKU-5 – Strategizing Customer Experiences for Speech
13:30 - 16:30
Crispin Reedy, Director, User Experience - Versay Solutions

Does your organization need a strategy around voice? (Here’s a hint: The answer is, “Yes.”) What should that strategy be? Should you build an Alexa Skill or Google Action, or do something else entirely? This hands-on overview workshop looks at the problem through three different lenses: technology, design thinking, and marketing. First, tech. What’s involved in a voice enabled design, and what are companies doing today? Second, design thinking. Start with a user-centered view of the world—what does it look like when you throw voice into the mix? Third lens: marketing. What does search engine optimization look like in a world without “results” pages? How should your brand sound? This session gets you thinking about these questions and gives you the tools to make intelligent decisions about your organization and voice.

STKU-6 – Recent Deep Neural Net (DNN) Advances in Speech
13:30 - 16:30
David Thomson, VP Speech Technology - CaptionCall

Deep learning is systematically stomping out old algorithms in multiple fields, including speech recognition, by delivering breakthrough accuracy. Combined with big data, these methods are advancing research in finance, images, self-driving cars, advertising, spoken language, and games. This tutorial will cover new formulations of machine learning with a focus on DNNs for speech recognition and natural language processing. The session includes demonstrations and hands-on exercises. We recommend that participants bring a laptop. Attendees gain an understanding of DNN fundamentals, how they are used in acoustic and language modeling, the emergence of easy-to-use software tools, and where deep learning appears to be headed. Recent advances in deep learning, speech recognition fundamentals, how DNNs work, and why they are so accurate are all discussed.

STKU-7 – Build a Conversational Chatbot for Google Assistant
13:30 - 16:30
Michael McTear, Professor - Ulster University

Google Assistant allows users to engage with information and services through devices such as Google Home, Android smartphones and iPhones, and, ultimately, a wide range of other smart devices. Creating a conversational chatbot brings certain challenges. This tutorial begins by exploring issues of conversation design and then outlines the various tools available, such as Actions on Google, which supports the building of apps for Google Assistant; API.AI (Dialogflow), a tool for defining the natural language understanding and dialogue components of a conversation; Google templates, an alternative way to quickly create a conversational app; and Actions Simulator, a tool for testing the chatbot. The main part of the tutorial provides a hands-on demonstration of the tools.

Participants are expected to bring a laptop for use during this workshop to develop a sample chatbot for Google Assistant. Laptops will not be provided.




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