 To overcome this weakness , we propose STYLER, a novel expressive text-to-speech model with parallelized architecture. Expelling autoregressive decoding and introducing speech decomposition for encoding enables speech synthesis more robust even with high style transfer performance .
<clarity>  To overcome this weakness , we propose STYLER, a novel expressive text-to-speech model with parallelized architecture. Expelling autoregressive decoding and introducing speech decomposition for encoding enables speech synthesis more robust even with high style transfer performance .
 To overcome this weakness , we propose STYLER, a novel expressive text-to-speech model with robust speech synthesis and high speed. Excluding autoregressive decoding and introducing speech decomposition for encoding enables speech synthesis more robust even with high style transfer performance .