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  1. GitHub - openaudiolab/LLaST: LLaST: Improved End-to-end …

    We introduces LLaST, a framework for building high-performance L arge La nguage model based S peech-to-text T ranslation systems. We address the limitations of end-to-end speech …

  2. [2407.15415] LLaST: Improved End-to-end Speech Translation …

    Jul 22, 2024 · We introduces LLaST, a framework for building high-performance Large Language model based Speech-to-text Translation systems. We address the limitations of end-to-end …

  3. LLaST: Improved End-to-end Speech Translation System …

    Jul 22, 2024 · LLaST streamlines this process with an end-to-end approach. It employs a speech encoder to extract linguistic features from audio, an adaptor to bridge the gap between speech …

  4. the three LLaST model configurations. Each model utilizes a Whisper-large-v2 speech encoder, co tributing approximately 1B parameters. The adaptor is a compact multilayer perceptron with …

  5. LAST Definition & Meaning - Merriam-Webster

    The meaning of LAST is to continue in time. How to use last in a sentence. Synonym Discussion of Last.

  6. Last - Definition, Meaning & Synonyms | Vocabulary.com

    Something that's last comes at the very end, after any others of its kind. The last day of the year is December 31st.

  7. LAST | definition in the Cambridge English Dictionary

    LAST meaning: 1. (the person or thing) after everyone or everything else: 2. finally: 3. the least expected or…. Learn more.

  8. LAST definition and meaning | Collins English Dictionary

    24 meanings: 1. being, happening, or coming at the end or after all others 2. being or occurring just before the present; most.... Click for more definitions.

  9. Paper page - LLaST: Improved End-to-end Speech Translation …

    We introduces LLaST, a framework for building high-performance Large Language model based Speech-to-text Translation systems. We address the limitations of end-to-end speech …

  10. LLaST/README.md at main · openaudiolab/LLaST · GitHub

    We introduces LLaST, a framework for building high-performance L arge La nguage model based S peech-to-text T ranslation systems. We address the limitations of end-to-end speech …