Leveraging Low-Rank Adaptation for Parameter-Efficient Fine-Tuning in Multi-Speaker Adaptive Text-to-Speech Synthesis

Leveraging Low-Rank Adaptation for Parameter-Efficient Fine-Tuning in Multi-Speaker Adaptive Text-to-Speech Synthesis

Text-to-speech (TTS) technology is commonly used to generate personalized voices for new speakers. Despite considerable progress in TTS technology, personal voice synthesis remains problematic in achieving high-quality custom voices. In addressing this issue, fine-tuning a TTS model is a popular app...

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Bibliographic Details
Main Authors: Changi Hong, Jung Hyuk Lee, Hong Kook Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Text-to-speech synthesis
low-rank adaptation
multi-speaker adaptation
parameter-efficient fine-tuning
residual adapter
conditional layer normalization
Online Access:https://ieeexplore.ieee.org/document/10792914/
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https://ieeexplore.ieee.org/document/10792914/

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