Hema Murthy
12 papers · 2013–2023 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (19) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
ποΈ
Keyword Collector
(53)
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Conference Pioneer
β
The Questioner
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
hidden markov model
(3)
indian language
(2)
text-to-speech synthesis
(2)
convolutional neural network
(2)
assistive technology
(2)
speech synthesis
(1)
machine translation
(1)
information bottleneck
(1)
language learning
(1)
brain-computer interface
(1)
low-resource language
(1)
generative model
(1)
weakly supervised learning
(1)
speaker verification
(1)
deep neural network
(1)
recurrent neural network
(1)
android application
(1)
automatic speech recognition
(1)
image retrieval
(1)
adversarial learning
(1)
Papers
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages
Interspeech 2023
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval
WACV 2020
Brain-Computer Interface using Electroencephalogram Signatures of Eye Blinks
Interspeech 2018
Code-switching in Indic Speech Synthesisers
Interspeech 2018
Decision-level Feature Switching as a Paradigm for Replay Attack Detection
Interspeech 2018
Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech
Interspeech 2018
Early Vocabulary Development Through Picture-based Software Solutions
Interspeech 2018
Information Bottleneck Based Percussion Instrument Diarization System for Taniavartanam Segments of Carnatic Music Concerts
Interspeech 2018
Mobile Application for Learning Languages for the Unlettered
Interspeech 2018
Resyllabification in Indian Languages and Its Implications in Text-to-speech Systems
Interspeech 2018
Transcription Correction for Indian Languages Using Acoustic Signatures
Interspeech 2018
Is word-to-phone mapping better than phone-phone mapping for handling English words?
ACL 2013