no code implementations • 17 Feb 2024 • Neta Glazer, Aviv Navon, Aviv Shamsian, Ethan Fetaya
One of the challenges in applying reinforcement learning in a complex real-world environment lies in providing the agent with a sufficiently detailed reward function.
no code implementations • 30 Oct 2023 • Daniel Eitan, Menachem Pirchi, Neta Glazer, Shai Meital, Gil Ayach, Gidon Krendel, Aviv Shamsian, Aviv Navon, Gil Hetz, Joseph Keshet
In this work, we introduce a novel approach that integrates domain-specific or secondary LM into general-purpose LM.
no code implementations • 13 Sep 2023 • Aviv Navon, Aviv Shamsian, Neta Glazer, Gill Hetz, Joseph Keshet
Open vocabulary keyword spotting is a crucial and challenging task in automatic speech recognition (ASR) that focuses on detecting user-defined keywords within a spoken utterance.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • 31 Jan 2023 • Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
Auxiliary learning is an effective method for enhancing the generalization capabilities of trained models, particularly when dealing with small datasets.