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Found 3 papers, 1 papers with code
VoiceLDM: Text-to-Speech with Environmental Context
This paper presents VoiceLDM, a model designed to produce audio that accurately follows two distinct natural language text prompts: the description prompt and the content prompt.
FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning
Our method reduces the model to 23. 8% in size and 35. 9% in inference time compared to HuBERT.
Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck
Furthermore, we show that the proposed system improves performance in low-resource and cross-dataset settings of anti-spoofing task significantly, demonstrating that our system is also robust in terms of data size and data distribution.
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