1 citations · 1 across the 3 of their papers we have counts for
4 papers
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning
Shivam Ratnakant Mhaskar, Nirmesh J. Shah, Mohammadi Zaki +3
Traditional Automatic Video Dubbing (AVD) pipeline consists of three key modules, namely, Automatic Speech Recognition (ASR), Neural Machine Translation (NMT), and Text-to-Speech (…
Nonparallel Emotional Voice Conversion For Unseen Speaker-Emotion Pairs Using Dual Domain Adversarial Network & Virtual Domain Pairing
Nirmesh Shah, Mayank Kumar Singh, Naoya Takahashi +1
Primary goal of an emotional voice conversion (EVC) system is to convert the emotion of a given speech signal from one style to another style without modifying the linguistic conte…
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation
Vishal Chudasama, Purbayan Kar, Ashish Gudmalwar +3
Emotion Recognition in Conversations (ERC) is crucial in developing sympathetic human-machine interaction. In conversational videos, emotion can be present in multiple modalities,…
Quality assessment of voice converted speech using articulatory features
Avni Rajpal, Nirmesh J. Shah, Mohammadi Zaki +1
We propose a novel application based on acoustic-to-articulatory inversion towards quality assessment of voice converted speech. The ability of humans to speak effortlessly require…