The article presents SPIRIT-LM, a foundational multimodal language model that seamlessly combines text and speech. The model builds upon a pretrained text language model, extending its capabilities to the speech…
Continue readingThe article ‘How Much Context Does My Attention-Based ASR System Need?’ by Robert Flynn and Anton Ragni of the University of Sheffield, UK, investigates the effect of using longer acoustic…
Continue readingThe research team from Fudan University, The University of Hong Kong, and University of Illinois Urbana-Champaign propose an evaluation benchmark, L-Eval, for Long Context Language Models (LCLMs). They aimed to…
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