Zero-Shot Lombard Speech Synthesis with Controllable Style Embeddings

Name: Zero-Shot Lombard Speech Synthesis with Controllable Style Embeddings
Uploaded: 2026-10-08T02:43:56.845212+00:00
Duration: 183 s
Description: The system achieves zero-shot Lombard speech synthesis by learning a mapping between plain and Lombard speaker embeddings. It uses style embeddings from a large dataset, manipulated via Principal Component Analysis (PCA), to generate speech at desired loudness and clarity levels without needing specific Lombard training data. This allows for controllable, high-quality speech adaptation.

The system achieves zero-shot Lombard speech synthesis by learning a mapping between plain and Lombard speaker embeddings. It uses style embeddings from a large dataset, manipulated via Principal Component Analysis (PCA), to generate speech at desired loudness and clarity levels without needing specific Lombard training data. This allows for controllable, high-quality speech adaptation.

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