Srikanth Ronanki

Dec 24, 2024 | amazon.science | Karel Mundnich |Xing Niu |Prashant Mathur |Srikanth Ronanki

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 seen paired audio-text data.