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20212023
most citedTechnology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages

2 citations · 2 across the 4 of their papers we have counts for

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eess.AS2023

Fast and small footprint Hybrid HMM-HiFiGAN based system for speech synthesis in Indian languages

Sudhanshu Srivastava, Ishika Gupta, Anusha Prakash +2

Hidden-Markov-model (HMM) based text-to-speech (HTS) offers flexibility in speaking styles along with fast training and synthesis while being computationally less intense. HTS perf…

eess.AS2022

HMM-based data augmentation for E2E systems for building conversational speech synthesis systems

Ishika Gupta, Anusha Prakash, Jom Kuriakose +1

This paper proposes an approach to build a high-quality text-to-speech (TTS) system for technical domains using data augmentation. An end-to-end (E2E) system is trained on hidden M…

eess.AS2022★ 2 cited

Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages

Anusha Prakash, Arun Kumar, Ashish Seth +24

Cross-lingual dubbing of lecture videos requires the transcription of the original audio, correction and removal of disfluencies, domain term discovery, text-to-text translation in…

eess.AS2021

Dual Script E2E framework for Multilingual and Code-Switching ASR

Mari Ganesh Kumar, Jom Kuriakose, Anand Thyagachandran +6

India is home to multiple languages, and training automatic speech recognition (ASR) systems for languages is challenging. Over time, each language has adopted words from other lan…

eess.AS2021

Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts

Nauman Dawalatabad, Jilt Sebastian, Jom Kuriakose +3

Instrument separation in an ensemble is a challenging task. In this work, we address the problem of separating the percussive voices in the taniavartanam segments of Carnatic music…