Papers by Sundararajan Srinivasan
End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation (2023.emnlp-main)
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Juan Pablo Zuluaga-Gomez, Zhaocheng Huang, Xing Niu, Rohit Paturi, Sundararajan Srinivasan, Prashant Mathur, Brian Thompson, Marcello Federico
| Challenge: | Conventional speech-to-text translation systems are trained on single-speaker utterances, but they may not be applicable to real-life scenarios where the audio contains conversations by multiple speakers. |
| Approach: | They propose a speaker-turn-aware conversational speech translation model that integrates automatic speech recognition, speech translation and speaker turn detection using special tokens in a serialized labeling format. |
| Outcome: | The proposed model outperforms the reference systems on the multi-speaker condition while attaining comparable performance on the single-speakspeaker conditions. |
SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models (2024.findings-acl)
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Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu Han, Katrin Kirchhoff
| Challenge: | Integrated Speech and Large Language Models (SLMs) that follow speech instructions and generate relevant text responses have gained popularity lately. |
| Approach: | They propose algorithms that can generate adversarial examples to jailbreak SLMs without human involvement. |
| Outcome: | The proposed algorithms achieve state-of-the-art on spoken question-answering task scoring over 80% on both safety and helpfulness metrics. |