Papers with in-browser implementation
CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities (N18-5)
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| Challenge: | a JavaScript implementation of a convolutional neural network performs feedforward inference completely in the browser. |
| Approach: | They propose a JavaScript implementation that performs feedforward inference completely in the browser. |
| Outcome: | The proposed model performs feedforward inference completely in the browser without server requests . the proposed model is useful for applications with stringent latency requirements or low connectivity . |
Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting (D19-3)
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| Challenge: | keyword spotting systems are used for simple commands recognition on devices . however, voice-enabled web applications are few and far between . a prominent drawback is that most of these systems perform speech recognition in the cloud . |
| Approach: | Honkling is a JavaScript-based keyword spotting system that can be deployed on user devices. |
| Outcome: | Honkling is a JavaScript-based keyword spotting system that can be deployed on user devices. |