Skip to content

This repository contains an attempt to incorporate Rasa Chatbot with state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models directly without the need of running additional servers or socket connections.

License

Notifications You must be signed in to change notification settings

Anwarvic/RasaChatbot-with-ASR-and-TTS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

RasaChatbot with ASR and TTS

This repository contains an attempt to incorporate Rasa Chatbot with state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models directly without the need of running additional servers or socket connections.

Browser compatibility

In this project, the browser is a big part as it provides access to the connected media input devices like microphones. So, I had to use a supported interface that is compatible with all mainstream browsers even with older versions. That's why I used the AudioContext() interface. I didn't use other interfaces like MediaRecorder because it isn't compatible with Microsoft Edge, or Safari. Also, I didn't use any other plugins like recorderJs as it is not supported anymore.

Here is a table of the least acceptable version of each mainstream browser out there in the market:

Desktop Mobile
Chrome Edge Firefox Internet Explorer Opera Safari Android webview Chrome for Android Firefox for Android Opera for Android Safari on iOS Samsung Internet
Support ✔️ ✔️ ✔️ ✔️ ✔️ ✔️ ✔️ ✔️ ✔️ ✔️ ✔️
Least Acceptable Version 35 Full support 25 No support 22 6 Full support 35 26 22 Full support Full support

Issues

  • This interface doesn't work on Internet Explorer, and I need to check its status with Edge.
  • The TTS interface has a problem whenever Rasa responds with more than one text message... It handles multiple responses perfectly as long as they have one text message. If Rasa responds with more than one text message, all the text messages are being played at the same time.

Acknowledgements

Special Thanks to:

  • Sean Naren for training the provided ASR model.
  • ESPNet organization for training all provided TTS models.
  • SamimOnline for providing the early Bootstrap template
  • Patrick Roberts for the synth-js JavaScript plugin.
  • Remon Kamal for the technical help during this project... his guidance was at help!!

About

This repository contains an attempt to incorporate Rasa Chatbot with state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models directly without the need of running additional servers or socket connections.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published