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ADAPT-TTS: high-quality zero-shot multi-speaker text-to-speech adaptive-based for Vietnamese

Tác giả: Phuong Pham Ngoc, Chung Tran Quang, Mai Luong Chi
Số trang: P. 159-173
Số phát hành: Tập 39 - Số 2
Kiểu tài liệu: Tạp chí trong nước
Nơi lưu trữ: 03 Quang Trung
Mã phân loại: 621
Ngôn ngữ: English
Từ khóa: Zero-shot TTS, multi-speaker, text-to-speech, diffusion models, mel-spectrogram denoiser, Extracting Mel-vector, EMV, Adapt-TTS
Chủ đề: Engineering
Tóm tắt:

In this paper introduce the Adapt-TTS model that allows high-quality audio synthesis from a small adaptive sample without training to solve these problems. Key recommendations: 1. The Extracting Mel-vector (EMV) architecture allows for a better representation of speaker characteristics and speech style; 2. An improved zero-shot model with a denoising diffusion model (Mel-spectrogram denoiser) component allows for new voice synthesis without training with better quality (less noise).

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