15 citations
- Indian Institute of Technology BombayIN1 paper
- Indian Institute of Technology GuwahatiIN1 paper
- Indian Institute of Technology KanpurIN1 paper
- Newcastle UniversityGB1 paper
- Sikkim Manipal UniversityIN1 paper
- SRM Institute of Science and TechnologyIN1 paper
- University of Newcastle AustraliaAU1 paper
- University of North TexasUS1 paper
- University of WolverhamptonGB1 paper
10 papers · 1 filter
Adaptive Beam Search to Enhance On-device Abstractive Summarization
Harichandana B S S, Sumit Kumar
We receive several essential updates on our smartphones in the form of SMS, documents, voice messages, etc. that get buried beneath the clutter of content. We often do not realize…
VoiceMoji: A Novel On-Device Pipeline for Seamless Emoji Insertion in Dictation
Sumit Kumar, Harichandana B S S, Himanshu Arora
Most of the speech recognition systems recover only words in the speech and fail to capture emotions. Users have to manually add emoji(s) in text for adding tone and making communi…
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
Prasen Kumar Sharma, Arun Abraham, Vikram Nelvoy Rajendiran
Quantizing the floating-point weights and activations of deep convolutional neural networks to fixed-point representation yields reduced memory footprints and inference time. Recen…
Personal Internet of Things (PIoT): What is it Exactly?
Biswa PS Sahoo, Deepak Puthal, Saraju P. Mohanty +1
The use of Internet of Things (IoT) devices in homes and the immediate proximity of an individual communicates to create Personal IoT (PIoT) networks. The exploratory study of PIoT…
FONTNET: On-Device Font Understanding and Prediction Pipeline
Rakshith S, Rishabh Khurana, Vibhav Agarwal +2
Fonts are one of the most basic and core design concepts. Numerous use cases can benefit from an in depth understanding of Fonts such as Text Customization which can change text in…
Real-Time Optimized N-gram For Mobile Devices
Sharmila Mani, Sourabh Vasant Gothe, Sourav Ghosh +4
With the increasing number of mobile devices, there has been continuous research on generating optimized Language Models (LMs) for soft keyboard. In spite of advances in this domai…