Search Results for author:
Found 7 papers, 1 papers with code
Towards Code-Mixed Hinglish Dialogue Generation
Code-mixed language plays a crucial role in communication in multilingual societies.
Hinglish to English Machine Translation using Multilingual Transformers
Code-Mixed language plays a very important role in communication in multilingual societies and with the recent increase in internet users especially in multilingual societies, the usage of such mixed language has also increased.
MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones
We describe a comprehensive methodology for developing user-voice personalized automatic speech recognition (ASR) models by effectively training models on mobile phones, allowing user data and models to be stored and used locally.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
A quantum generative model for multi-dimensional time series using Hamiltonian learning
We start by assuming that a given time series can be generated by a quantum process, after which we proceed to learn that quantum process using quantum machine learning.
Training end-to-end speech-to-text models on mobile phones
We evaluated the framework on various mobile phones from different brands and reported the results.
Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 2.3 Million X-Rays
Methods: A deep learning system was trained on 2. 3 million chest X-rays and their corresponding radiology reports to identify various abnormalities seen on a Chest X-ray.
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans
A part of this dataset (Qure25k dataset) was used to validate and the rest to develop algorithms.
