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4. Improving Lpcnet-Based Text-To-Speech With Linear Prediction-Structured Mixture Density Network

Improving Lpcnet-Based Text-To-Speech With Linear Prediction-Structured Mixture Density Network

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IEEE ICASSP 2020 Virtual Conference May 2020

In this paper, we propose an improved LPCNet vocoder using a linear prediction (LP)-structured mixture density network (MDN). The recently proposed LPCNet vocoder has successfully achieved high-quality and lightweight speech synthesis systems by combining

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Improving Lpcnet-Based Text-To-Speech With Linear Prediction-Structured Mixture Density Network

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In this paper, we propose an improved LPCNet vocoder using a linear prediction (LP)-structured mixture density network (MDN). The recently proposed LPCNet vocoder has successfully achieved high-quality and lightweight speech synthesis systems by combining