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An overview of the application of fast fourier transform (fft) and linear predictive coding (lpc) in the analysis of speech signals. It covers key concepts such as the vocal tract transfer function, the usefulness of fft and lpc displays for analyzing the sound source and vocal tract filter, the definition and significance of formants, and the differences between the information provided by fft and lpc spectra. The document addresses several important questions related to these topics, making it a valuable resource for students and researchers interested in speech signal processing and acoustic phonetics.
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Does the vocal tract transfer function apply when sound is being phonated or whispered? - ANSWER-both Is the FFT display useful for displaying features of the sound source or the vocal tract filter? - ANSWER-the sound source Is the LPC display useful for displaying features of the sound source or the vocal tract filter? - ANSWER-vocal tract filter T or F: The LPC spectrum will show us what the vocal tract is doing - what its resonance frequencies are relative to one another. - ANSWER-T What are formants? - ANSWER-resonant energy peaks in the vocal tract transfer function What are the two spectrum discussed in this class? - ANSWER-FFT and LPC What do peaks of an LPC spectrum represent? - ANSWER-formants What do peaks on an FFT spectrum represent? - ANSWER-harmonic components What does a FFT spectrum show us? - ANSWER-shows us the range of harmonics that are present in sound, each peak shows a harmonic What does FFT stand for? - ANSWER-fast Fourier transform What does LPC stand for? - ANSWER-linear predictive coding What does the LPC show us? - ANSWER-spectral envelope What does the LPC spectrum reveal - ANSWER-what the vocal tract filter is doing What will FFT not show us very well? - ANSWER-formants