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頁籤選單縮合
題名 | 語音轉換技術的文獻回顧=The Review of Voice Conversion |
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作者姓名(中文) | 林政源; 林奇嶽; 鄭志民; 黃柏凱; 周思誠; 郭志忠; | 書刊名 | 電腦與通訊 |
卷期 | 128 2009.06[民98.06] |
頁次 | 頁108-115 |
分類號 | 312.85 |
關鍵詞 | 語音轉換; 高斯混合模型; 類神經網路; 隱藏式馬可夫模型; Voice conversion; Gaussian mixture model; Artificial neural network; Hidden Markov model; |
語文 | 中文(Chinese) |
中文摘要 | 語音轉換技術由於其應用面甚廣,近年來有許多研究者紛紛提出不同的方法。本論文除了介紹語音轉換的不同應用與四項系統評估的方法之外,針對語音轉換技術的核心方法,本文提供了完整的回顧與歸納。這些核心方法有:向量量化,高斯混合模型,類神經網路與隱藏式馬可夫模型,各種方法的原理與特性於本論文中有詳盡的介紹。 |
英文摘要 | Since the voice conversion (VC) technology becomes widely used, there have been a lot of methods proposed by researchers in recent years. In this paper, we introduce the various applications and four kinds of performance evaluation approaches for VC. Furthermore, we also give an overall review of VC kernel methods and conclude with some viewpoints. This study involves four popular kernel methods, which are vector quantization, Gaussian mixture model, artificial neural network, and hidden Markov model. The principle and the property of each method are elaborated in this paper. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。