It is common practice in speech research to apply a pre-emphasis filter before FFT in order to boost high frequency by 6dB/octave. I was told that multiplying the spectrum points by its frequency would yield the same 6dB/octave effect on the spectrum. The only mention of such method I could locate was in (Oppenheim 1970): "If S(w) represents the spectral section to be displayed, the high frequency emphasis is accomplished by multiplying S(w) by a function L(w), which is constant to some frequency and thereafter increases linearly with a specified slope" Now, my understanding of DSP is minimal but I can learn fast if directed well :) So if you have any information related to this, please post back... Any and all help will be appreciated... @ARTICLE{Oppenheim1970, author = {A. Oppenheim}, title = {Speech spectrograms using the fast Fourier Transform}, journal = {IEEE Spectrum}, year = {1970}, volume = {7}, number = {8}, pages = {57-62}, month = {Aug.}, }
Pre-emphasis in the frequency domain...
Started by ●October 7, 2004
Reply by ●October 7, 20042004-10-07
jandouh@yahoo.com (Mohamed) wrote in message news:<e599c748.0410062345.45213acc@posting.google.com>...> It is common practice in speech research to apply a pre-emphasis > filter before FFT in order to boost high frequency by 6dB/octave. I > was told that multiplying the spectrum points by its frequency would > yield the same 6dB/octave effect on the spectrum. The only mention of > such method I could locate was in (Oppenheim 1970): > "If S(w) represents the spectral section to be displayed, the high > frequency emphasis is accomplished by multiplying S(w) by a function > L(w), which is constant to some frequency and thereafter increases > linearly with a specified slope"Also see B. Gold & N. Morgan, "Speech and Audio Signal Processing: Processing and Perception of Speech and Music" The type of speech feature extraction advocated by Morgan and colleagues at UCal Berkeley / ICSI is called Perceptual Linear Prediction (PLP). On page 299 of the text mentioned above, Morgan pre-emphasizes the smoothed power spectrum in the process of performing feature extraction. (Figure 22.4 "LPC vs. PLP") If you need more details, let me know. - Jesse hansenj at ele dot uri dot edu
Reply by ●October 7, 20042004-10-07
jandouh@yahoo.com (Mohamed) wrote in message news:<e599c748.0410062345.45213acc@posting.google.com>...> It is common practice in speech research to apply a pre-emphasis > filter before FFT in order to boost high frequency by 6dB/octave. I > was told that multiplying the spectrum points by its frequency would > yield the same 6dB/octave effect on the spectrum. The only mention of > such method I could locate was in (Oppenheim 1970): > "If S(w) represents the spectral section to be displayed, the high > frequency emphasis is accomplished by multiplying S(w) by a function > L(w), which is constant to some frequency and thereafter increases > linearly with a specified slope"Also see B. Gold & N. Morgan, "Speech and Audio Signal Processing: Processing and Perception of Speech and Music" The type of speech feature extraction advocated by Morgan and colleagues at UCal Berkeley / ICSI is called Perceptual Linear Prediction (PLP). On page 299 of the text mentioned above, Morgan pre-emphasizes the smoothed power spectrum in the process of performing feature extraction. (Figure 22.4 "LPC vs. PLP") If you need more details, let me know. - Jesse hansenj at ele dot uri dot edu
Reply by ●October 12, 20042004-10-12
hansenj@ele.uri.edu (Jesse Hansen) wrote in message news:<21d5c5c7.0410070955.b827dfc@posting.google.com>...> > Also see B. Gold & N. Morgan, "Speech and Audio Signal Processing: > Processing and Perception of Speech and Music" > > The type of speech feature extraction advocated by Morgan and > colleagues at UCal Berkeley / ICSI is called Perceptual Linear > Prediction (PLP). On page 299 of the text mentioned above, Morgan > pre-emphasizes the smoothed power spectrum in the process of > performing feature extraction. (Figure 22.4 "LPC vs. PLP") If you > need more details, let me know. > > - Jesse > > hansenj at ele dot uri dot eduThanks for the info. I am waiting on the book from our uni, library. I will post back after reading.