no code implementations • 20 Mar 2024 • Shivam Ratnakant Mhaskar, Nirmesh J. Shah, Mohammadi Zaki, Ashishkumar P. Gudmalwar, Pankaj Wasnik, Rajiv Ratn Shah
In this paper, we present the development of an isometric NMT system using Reinforcement Learning (RL), with a focus on optimizing the alignment of phoneme counts in the source and target language sentence pairs.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +6
1 code implementation • 25 Sep 2019 • Maitreya Patel, Mirali Purohit, Mihir Parmar, Nirmesh J. Shah, Hemant A. Patil
In this paper, we propose a novel style transfer architecture, which can also be extended to generate voices even for target speakers whose data were not used in the training (i. e., case of zero-shot learning).