Speech Analysis Techniques
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My talk about Speech Analysis Techniques at the Mobilization Conference (http://2017.mobilization.pl) in Łódź, Poland.
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Speech Analysis Techniques
- 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
- 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
- 17. Do it yourself