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We propose a decoder-only language model, VoxtLM, that can perform fourtasks: speech recognition, speech synthesis, text generation, and speechcontinuation. VoxtLM integrates text vocabulary with discrete speech tokensfrom self-supervised speech features and uses special tokens to enablemultitask learning. Compared to a single-task model, VoxtLM exhibits asignificant improvement in speech synthesis, with improvements in both speechintelligibility from 28.9 to 5.6 and objective quality from 2.68 to 3.90.VoxtLM also improves speech generation and speech recognition performance overthe single-task counterpart. Further, VoxtLM is trained with publicly availabledata and training recipes and model checkpoints are open-sourced to make fullyreproducible work.

Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks