Create Your Own Voice Assistant Using Watson and IBM Bluemix

InterConnect
2017
Create Your Own Voice
Assistant Using Watson and
IBM Bluemix
Vidyasagar S Machupalli
Technical Offering Manager,
IBM
1 3/7/17

“Computing will never rob man of his initiative
or replace the need for creative thinking. By
freeing man from the more menial or repetitive
forms of thinking, computers will actually
increase the opportunities for the full use of
human reason.”
— Thomas J. Watson, Jr.
2 3/7/17

Watson Conversation
Create an application that
understands natural-
language input and uses
machine learning to
respond to customers in a
way that simulates a
conversation between
humans.
3 3/7/17

• Users interact with your application
through the user interface that you
implement. For example, A simple
chat window or a mobile app, or
even a robot with a voice interface.
• The application sends the user
input to the Conversation service.
• The application can interact with
your back-end systems based on
the user's intent and additional
information. For example, answer
question, open tickets, update
account information, or place
orders. There is no limit to what
you can do.
5 3/7/17
How to use the service?

You create your free instance of
Watson services through IBM®
Bluemix®, so you need a free
Bluemix account to get started.
Bluemix is IBM's cloud platform.
6 3/7/17
Getting Started

The natural-language processing for the
Conversation service happens inside a
workspace, which is a container for all of
the artifacts that define the conversation
flow for an application.
A single Conversation service instance can
contain multiple workspaces.
7 3/7/17
Configuring a Conversation
workspace

A workspace contains the following types
of artifacts:
Intents: An intent represents the purpose
of a user's input, such as a question about
business locations or a bill payment.
Entities; An entity represents a term or
object that is relevant to your intents and
that provides a specific context for an
intent.
Dialog: A dialog is a branching
conversation flow that defines how your
application responds when it recognizes
the defined intents and entities.
8 3/7/17
Configuring a Conversation
workspace

Other Watson
Services
To enable Voice
9 3/7/17

Watson Text to
Speech Service
Watson Speech to
Text Service
10 3/7/17
Watson TTS and STT

A virtual assistant using Watson
Services on Bluemix in Minutes
Using any programming
language. For this demo we will
build for an Android device.
12 3/7/17
What you will create?

Creating Watson
Services on Bluemix &
Cloning the repo
13 3/7/17

• Once you log into Bluemix (https://bluemix.net), click on Catalog (Top Bar) and
click on Watson under Services (Left Pane).
• Select Conversation and give an unique service name (if you not sure leave
the default name provided) and click on Create.
• Repeat the steps and create Text to Speech and Speech to Text Watson
Services on Bluemix.
14 3/7/17
Watson Services on Bluemix

• Open Terminal and run the below command
git clone https://github.com/IBM-Bluemix/chatbot-watson-
android.git
• Android Code will be cloned to a local folder(chatbot-watson-android) on your
machine.
15 3/7/17
Clone the repo

Coding on Android
Studio
16 3/7/17

• Launch Android Studio.
• Click on “Open an existing Android Studio Project” and point to the folder
(Chatbot-Watson-Android) on your machine.
• Let the Gradle do the dependency pulling and building for you.
17 3/7/17
Importing the project

• Click on the Conversation service -> Service Credentials (username &
password)
• Click on Launch Tool and import JSON file with Everything(intents, entities
and Dialog) option from training folder of cloned project.
• Click on Workspace three dots -> View Details-> Workspace ID
18 3/7/17
Connect to Watson Services – Watson Conversation

• Navigate to file app/src/main/res/values/config.xml and provide conversation
service details which you created in the previous step.

<string name="workspace_id">Value</string>
<string name="conversation_username"></string>
<string name="conversation_password"></string>
19 3/7/17
Connect to Watson Services – Watson Conversation

• Click on the Text to Speech service -> Service Credentials (username &
password)
• Navigate to file app/src/main/res/values/config.xml and provide service
details.
• Repeat the above steps froe Speech to Text.

<string name="STT_username">value</string>
<string name="STT_password"></string>

<string name="TTS_username"></string>
<string name="TTS_password"></string>
20 3/7/17
Connect to Watson Services – Watson Text to Speech
and Speech to Text

• All the code required for your android app to talk to Watson services is
under MainActivity.Java
• You can find the Watson SDK entries under Build.gradle(Module:app) ->
Dependencies
Click on “Run App” and select any virtual machine (emulator).If you don’t see
any emulator, Create New Virtual Machine (API level 24 or above).
21 3/7/17
Run the app

• You can have a conversation with the Bot. Type “Hi” and Click on the arrow
Icon.
• Tap on the message to listen to the voice.
• Tap on the mic button to record your message. Say “Hi, How are you?” and
see the text in the message box. Click on the arrow Icon.
22 3/7/17
Test the app

• You can choose to change the voice from available voices at Line 171 in
MainActivity.java
• Train your Chatbot by modifying the Workspace’s Intents, Entities and Build
the Dialog.
23 3/7/17
Additonally

Docs,SDKs,Tools…
for app development
24 3/7/17

• Build with Watson -
https://www.ibm.com/watson/de
velopercloud/
• SDKS – Java, Node, Python,
Swift, Android, Unity
https://github.com/watson-
developer-cloud
25 3/7/17
Watson Developer Cloud

26 3/7/17
Notices and disclaimers
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27 3/7/17
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