图 书 馆
基于幅谱峰值的多基频估计的最大似然方法A Maximum Likelihood Approach to Multiple Fundamental Frequency Estimation From the Amplitude Spectrum Peaks |
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| 课程网址: | http://videolectures.net/mbc07_duan_mla/ |
| 主讲教师: | Zhiyao Duan |
| 开课单位: | 谢菲尔德大学 |
| 开课时间: | 2008-02-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper presents a Maximum Likelihood approach to multiple fundamental frequency (F0) estimation in each frame of music signals in the frequency domain. The frequencies and amplitudes of the spectral peaks are viewed as observations, and the F0s are viewed as parameters to be estimated. The proposed method considers the potential errors in the peak detection algorithm and treats each peak as “true” and “false” separately. The likelihood models of the “true” and “false” peaks are learned from the monophonic training data, with the assumption that the statistics of the peaks in monophonic and polyphonic signals are similar. The proposed method also incorporates a rectified Bayesian Information Criteria (BIC) to estimate the number of the parameters, i.e. the polyphony. Evaluation is held on randomly mixed chords, which are generated from the previously unseen monophonic tones. Experimental results show the feasibility of this method. |
| 关 键 词: | 多基频; 最大似然方法; 频谱峰值; 贝叶斯信息准则 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-16：cjy |
| 阅读次数: | 40 |