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Home/Authors/Pranav Bhat

Pranav Bhat

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Audio and Speech Processing×2Crypto×1AI×1Vision×1ML×1

Frequent co-authors

Sujith Pulikodan2×
Agneedh Basu2×
Visruth Sanka2×
Nihar Desai2×
Prasanta Kumar Ghosh2×
Saurabh Kumar1×

Research Timeline

2026
Scalable Secure Biometric Authentication without Auxiliary Identifiers

The paper introduces a novel, scalable, and provably secure biometric authentication system designed to authenticate millions of users against cloud databases without requiring auxiliary identifiers.

An Analysis of the Effectiveness of Synthetic Speech Data for ASR Fine-tuning in Selected Indic Languages

This paper investigates the effectiveness of incorporating synthetic speech data in Automatic Speech Recognition (ASR) Systems for three Indic languages by analyzing performance gains, script sources, speech synthesis models, and voice cloning.

Vaani Benchmark V1.0: An Inclusive Multimodal Benchmark Dataset for Hindi

The paper introduces a new inclusive, multimodal Hindi ASR benchmark with real-world recordings and diverse demographic groups, enabling more robust and realistic evaluation.

Highlighted terms show continued research focus across papers

Papers

eess.ASEmpiricalRecentJun 19, 2026

Vaani Benchmark V1.0: An Inclusive Multimodal Benchmark Dataset for Hindi

Sujith Pulikodan, Agneedh Basu, Saurabh Kumar, Pranav Bhat +4 more

The paper introduces a new inclusive, multimodal Hindi ASR benchmark with real-world recordings and diverse demographic groups, enabling more robust and realistic evaluation.

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eess.ASEmpiricalRecent
Jun 16, 2026

An Analysis of the Effectiveness of Synthetic Speech Data for ASR Fine-tuning in Selected Indic Languages

Sujith Pulikodan, Agneedh Basu, Pavan Kumar, Pranav Bhat +3 more

This paper investigates the effectiveness of incorporating synthetic speech data in Automatic Speech Recognition (ASR) Systems for three Indic languages by analyzing performance gains, script sources,…

View →
cs.CRcs.AIcs.CVRecentApr 27, 2026

Scalable Secure Biometric Authentication without Auxiliary Identifiers

Alexander Bienstock, Daniel Escudero, Antigoni Polychroniadou, Zhen Zeng +4 more

The paper introduces a novel, scalable, and provably secure biometric authentication system designed to authenticate millions of users against cloud databases without requiring auxiliary identifiers.

View →