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Scaling Speech-Text Pre-Training with Synthetic Interleaved Data

Scaling Speech-Text Pre-Training with Synthetic Interleaved Data A method for scaling speech language models (SpeechLMs) by using synthetic speech-text interleaved data, bypassing the need for parallel speech-text datasets. Problem: Limited unsupervised speech and parallel

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