Turning Speech Language Models into Multilingual Listeners
Speech Language Models (SLMs) that understand spoken language questions support only a few high-resource languages, limiting access to millions of people worldwide. This gap stems from the scarcity of multilingual speech instruction-tuning datasets. We present MULTISPEECHQA, a large-scale, synthetically generated and h...
Tolúlopé Ògúnrèmí, D. Jurafsky, Christopher D. Manning et al.
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