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Anshu Bhatia

3 accepted papers

2025

Zero-resource Speech Translation and Recognition with LLMs

ICASSP 2025accepted

Despite recent advancements in speech processing, zero-resource speech translation (ST) and automatic speech recognition (ASR) remain challenging problems. In this work, we propose to leverage a multilingual Large Language Model (LLM) to perform ST and ASR in languages for which the model has never…

Cited by 0SourceScholar
2024

SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models

ACL 2024findings

Integrated Speech and Large Language Models (SLMs) that can follow speech instructions and generate relevant text responses have gained popularity lately. However, the safety and robustness of these models remains largely unclear. In this work, we investigate the potential vulnerabilities of such in…

2023

Masked Audio Text Encoders are Effective Multi-Modal Rescorers

ACL 2023findings

Masked Language Models (MLMs) have proven to be effective for second-pass rescoring in Automatic Speech Recognition (ASR) systems. In this work, we propose Masked Audio Text Encoder (MATE), a multi-modal masked language model rescorer which incorporates acoustic representations into the input space…