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R. Shah

47 papers hereh-index 446.8k citations322 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author17
  • last author27

Across the 44 of 47 papers where every author was matched, so the position is known.

fields
  • cs.CL18
  • cs.AI10
  • cs.CV6
  • cs.HC4
  • eess.AS4
  • cs.LG2
same name
  • R. Shah — 46 papers, h 12
  • R. Shah — 8 papers, h 6
  • R. Shah — 4 papers, h 2
  • R. Shah — 3 papers, h 2
  • R. Shah — 3 papers, h 3
  • R. Shah — 2 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2025

REWIND: Speech Time Reversal for Enhancing Speaker Representations in Diffusion-based Voice Conversion

Ishan D. Biyani, Nirmesh J. Shah, Ashishkumar P. Gudmalwar +2

Speech time reversal refers to the process of reversing the entire speech signal in time, causing it to play backward. Such signals are completely unintelligible since the fundamen…

eess.AS2024

EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion

Ashishkumar Gudmalwar, Ishan D. Biyani, Nirmesh Shah +2

The Emotional Voice Conversion (EVC) aims to convert the discrete emotional state from the source emotion to the target for a given speech utterance while preserving linguistic con…

eess.AS2024

DubWise: Video-Guided Speech Duration Control in Multimodal LLM-based Text-to-Speech for Dubbing

Neha Sahipjohn, Ashishkumar Gudmalwar, Nirmesh Shah +2

Audio-visual alignment after dubbing is a challenging research problem. To this end, we propose a novel method, DubWise Multi-modal Large Language Model (LLM)-based Text-to-Speech…

eess.AS2024

VECL-TTS: Voice identity and Emotional style controllable Cross-Lingual Text-to-Speech

Ashishkumar Gudmalwar, Nirmesh Shah, Sai Akarsh +2

Despite the significant advancements in Text-to-Speech (TTS) systems, their full utilization in automatic dubbing remains limited. This task necessitates the extraction of voice id…

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