3 accepted papers
With the rapid advancement of large language models (LLMs), discrete speech representations have become crucial for integrating speech into LLMs. Existing methods for speech representation discretization rely on a predefined codebook size and Euclidean distance-based quantization. However, 1) the si…
Recent advancements in end-to-end text-to-speech models have made significant progress. However, these approaches based on high-resource languages, are inapplicable for low-resource languages, and existing low-resource speech synthesis methods are typically specific to single languages. Consequently…
Voice conversion (VC) aims to transform a person’s voice to resemble that of another person while maintaining the original linguistic content. Existing methods suffer from the blurring of speech representations and the leakage of prosody information. To address this issue, this study introduces SEVC…