| 声码器清浊音判决算法优化 | |
| 党晓妍 ; 魏旋 ; 崔慧娟 ; 唐昆 ; DANG Xiaoyan ; WEIXuan ; CUI Huijuan ; TANG Kun | |
| 2010-05-12 ; 2010-05-12 | |
| 关键词 | 语音编码 清浊音判决 MELPe算法 AMBE+算法 speech coding voiced-unvoiced classification MELPe(mixed excitation linear prediction)algorithm AMBE+(advanced multi-band excitation plus)algorithm TN912.3 |
| 其他题名 | Improvement of voiced-unvoiced classification in vocoders |
| 中文摘要 | 为了解决低速声码器合成语音的偶发性嘶哑或变调问题,对参数提取进行改善,采用有监督学习的Fisher判决法,利用多个特征值组成的特征向量为判据;基音周期平滑的准确度在利用了更准确的清浊音信息后大有提高。测试结果表明:该算法能够大大降低清浊音误判率,减少严重基音周期错误数;应用该算法的SELP(sinuous excitationlinear prediction)2.4kb/s的PESQ-MOS分优于2.4kb/s的MELPe(mixed excitation linear prediction)和AMBE+(advanced multi-band excitation)算法,DRT(diagnostic rhythm test)分数达95%,具有良好的可懂度和自然度。; Many kinds of 2.4 kb/s low bit rate vocoders have occasionally hoarseness or out-of-tone speech.Hence voiced-unvoiced classification method is improved using several parameters based on Fisher method.The pitch track precision is then improved by more precise voiced-unvoiced information.Tests results show that the Fisher classification method greatly reduces the voiced-unvoiced classification error rate and number of severe half or double pitch errors.The improved 2.4 kb/s SELP(sinuous excitation linear prediction)vocoder then get a higher PESQ-MOS score,even outperforming the US government's MELPe and DVSI's AMBE+ algorithm at the same rate.Additionally,the improved 2.4 kb/s SELP vocoder has diagnostic rhythm test(DRT)scores of up to 95%,which produces excellent natural and intelligible speech. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/27976]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 党晓妍,魏旋,崔慧娟,等. 声码器清浊音判决算法优化[J],2010, 2010. |
| APA | 党晓妍.,魏旋.,崔慧娟.,唐昆.,DANG Xiaoyan.,...&TANG Kun.(2010).声码器清浊音判决算法优化.. |
| MLA | 党晓妍,et al."声码器清浊音判决算法优化".(2010). |
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