banks

原英文博客地址： https://haythamfayek.com/2016/04/21/speech-processing-for-machine-learning.html 目录 Setup 预加重（Pre-Emphasis） 分帧（Framing） 加窗（Window） 傅里叶变换和功率谱（Fourier-Transform and Power Spectrum） Filter Banks 梅尔倒谱系数 Mel-frequency Cepstral Coefficients (MFCCs) 均值归一化 Mean Normalization Filter Banks vs MFCCs Conclusion 语音处理在自动语音识别（Automatic Speech Recognition ，简称ASR）或者说话人识别（speaker recognition）等系统中扮演了重要的角色。一直以来梅尔频率倒谱系数（ Mel-Frequency Cepstral Coefficients ，简称MFCCs）在语音特征处理中很流行，最近则filter banks越来越流行了。在这边博客中讨论filter banks 和MFCCs，以及为什么filter bank会越来越受欢迎。 Filter banks和MFCCs的计算包含了一些相同的步骤，filter banks计算完成后

通用工程英语上section a，c Unit Two Flight Connection and Customs 转机和通关 Section A Some Tips for Tight Airport Connections紧密联程转机的十个技巧 Directions: In this section, you will hear a passage about ten tips for tight airport connections. Write down the ten tips based on what you hear. You can read the list of words at the back of the unit, which will give you some help with the exercise. Airports are notorious labyrinths that many travelers are keen to avoid. Choose a connection with plenty of time so you won’t have to make an Olympic sprint through the maze. If you’ve already booked a tight connection,