通过调整音调、时长和能量，让语音合成更自然。
Prosodic Parameter Manipulation in TTS generated speech for Controlled Speech Generation
- 用PyWorld和Librosa提取语音特征并调节
- 合成语音的自然度显著提升，接近真人说话
- 适合需要情感化或精准控制的语音应用
本文研究在文本转语音（TTS）系统中操纵韵律参数以实现可控语音生成。通过先进语音处理技术，对比分析TTS生成音频与真人录音在基频、时长和能量上的差异。利用PyWorld和Librosa等工具提取关键特征，并调整其以匹配自然人声的韵律特性。修改后的特征经合成后生成更贴近真实语音韵律的TTS输出。该方法包括特征提取、韵律调控与合成，结合全面评估确保与人类语音模式一致。实验表明，韵律参数调节在可控语音生成中可行且有效，具有显著提升TTS自然度与表现力的潜力。
原文摘要 · Abstract (English)
This paper explores the manipulation of prosodic parameters in Text-to-Speech (TTS) systems to achieve controlled speech generation. By leveraging advanced speech processing techniques, we compare TTS-generated audio with human-recorded speech to analyze differences in pitch, duration, and energy. Key features are extracted using tools like PyWorld and Librosa, which are then adjusted to align with the prosodic characteristics of natural human speech. The modified features undergo synthesis, producing enhanced TTS outputs that more closely mirror the natural prosody of human speech. This approach aims to enhance the naturalness and expressiveness of TTS systems by providing a framework for precise prosodic parameter adjustments. Our methodology involves feature extraction, prosodic manipulation, and synthesis, followed by comprehensive evaluations to ensure consistency with human speech patterns. The findings demonstrate the feasibility and effectiveness of prosodic parameter manipulation for controlled speech generation, highlighting its potential to significantly improve TTS applications.
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