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eess.AS2025
Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech
Wonjune Kang, Junteng Jia, Chunyang Wu +8
This work studies the capabilities of a large language model (LLM) to understand paralinguistic aspects of speech without fine-tuning its weights. We utilize an end-to-end system w…
eess.AS2024
Transcribing and Translating, Fast and Slow: Joint Speech Translation and Recognition
Niko Moritz, Ruiming Xie, Yashesh Gaur +5
We propose the joint speech translation and recognition (JSTAR) model that leverages the fast-slow cascaded encoder architecture for simultaneous end-to-end automatic speech recogn…