Martin Mitrevski's talk at Mobilization 2017 in Łódź, Poland, focuses on speech analysis techniques, particularly in the context of developing conversational interfaces on iOS. He discusses various NLP concepts such as intent, entities, and context, and provides insights on integrating these techniques into applications. Tools like SiriKit and Dialogflow are highlighted for their roles in enhancing user interactions through speech recognition and intent handling.

1. Speech Analysis Techniques
Martin Mitrevski @ Mobilization
21 October 2017, Łódź, Poland

2. About me
iOS @ Netcetera (netcetera.com)
blogging on martinmitrevski.com
writing book about Conversational Interfaces on iOS
@mitrevski

3. UI Evolution

4. Language,
why so complex?
PunctuationAmbiguity
Figurative speech Context
ImplicationsUncertainty

5. NLP Concepts
Now, I’m giving a talk about Speech
Analysis techniques @ Mobilization
Intent Subject entity
Location entity
Time entity
I will share some insights about them. Context

6. Adding CI to your app

7. What can you use?
easy
hard
flexible!flexible

8. SiriKit
Apple does SR and NLU Restricted to domains

9. Implementing SiriKit
Handler
Resolve
Siri
Siri
Siri
Intent and parameters
extraction
Confirm
Response
Handler
Handle Response
Handler
Execute task

10. Siri examples

11. Dialogflow (api.ai)
Training agents
in web app
NLU as REST
Service
Intent
Entities

12. The process
User input
Speech recogniser
Transcribed text
Intents and entities
Persist extracted data
Present to
the user

13. Demo
https://vimeo.com/235739858

14. Wit.ai
Supports Speech RecognitionSimilar to Dialogflow

15. Splitting
the data
Machine
Learning step
iOS integration
step
User inputPrediction
Conversion
IntegrationProcessingMLMultiArray
Model generation
Core ML

16. Sentiment Analysis

17. Do it yourself

18. Thanks!
@mitrevski
martinmitrevski.com
Questions?