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20162024
most citedZero resource speech synthesis using transcripts derived from perceptual acoustic units

7 citations · 13 across the 10 of their papers we have counts for

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9 papers · 1 filter

eess.AS2022

Structural Segmentation and Labeling of Tabla Solo Performances

Gowriprasad R, R Aravind, Hema A Murthy

Tabla is a North Indian percussion instrument used as an accompaniment and an exclusive instrument for solo performances. Tabla solo is intricate and elaborate, exhibiting rhythmic…

eess.AS20222 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…

eess.AS2020

Novel Architectures for Unsupervised Information Bottleneck based Speaker Diarization of Meetings

Nauman Dawalatabad, Srikanth Madikeri, C. Chandra Sekhar +1

Speaker diarization is an important problem that is topical, and is especially useful as a preprocessor for conversational speech related applications. The objective of this paper…

eess.AS20201 cited

Exploration of End-to-end Synthesisers forZero Resource Speech Challenge 2020

Karthik Pandia D S, Anusha Prakash, Mano Ranjith Kumar +1

A Spoken dialogue system for an unseen language is referred to as Zero resource speech. It is especially beneficial for developing applications for languages that have low digital…