公开(公告)号：US20250022459A1

公开(公告)日：2025-01-16

申请号：US18220910

申请日：2023-07-12

Applicant: Adobe Inc.

Inventor： Viet Dac Lai ,  Trung Bui ,  Seunghyun Yoon ,  Quan Tran ,  Hao Tan ,  Hanieh Deilamsalehy ,  Abel Salinas ,  Franck Dernoncourt

IPC: G10L15/183 ,  G10L15/065

Abstract: The disclosed method generates helpful training data for a language model, for example, a model implementing a punctuation restoration task, for real-world ASR texts. The method uses a reinforcement learning method using a generative AI model to generate additional data to train the language model. The method allows the generative AI model to learn from real-world ASR text to generate more effective training examples based on gradient feedback from the language model.