Advancing Scalable Text-to-Speech Synthesis: Llasa’s Transformer-Based Framework for Improved Speech Quality and Emotional Expressiveness

Recent advancements in LLMs, such as the GPT series and emerging “o1” models, highlight the benefits of scaling training and inference-time computing. While scaling during training—by increasing model size and dataset volume—has been a well-established strategy, recent findings emphasize the advantages of inference-time scaling, where additional computational resources during testing improve output quality and task […]

The post Advancing Scalable Text-to-Speech Synthesis: Llasa’s Transformer-Based Framework for Improved Speech Quality and Emotional Expressiveness appeared first on MarkTechPost.

Source: https://www.marktechpost.com/2025/02/10/advancing-scalable-text-to-speech-synthesis-llasas-transformer-based-framework-for-improved-speech-quality-and-emotional-expressiveness/

Keywords: scaling, quality, recent, synthesis, transformerbased

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