20111ee114_1_CA3_Sol

20111ee114_1_CA3_Sol - 30 20 10 0 10 20 0 0.5 1 1.5 2 2.5 3...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
UCLA Dept. of Electrical Engineering EE 114, Winter 2011 Computer Assignment 3 Solutions: Spectrograms and Linear Predictive Analysis Abstract : This assignment studies the use of time-frequency representations, or spectrograms, during speech processing. The efiect of analysis window length, as well as overlap length, is stud- ied. Speciflcally, we inspect the results of various parameters on the resolutions of harmonics and formants frequencies. Additionally, the assignment explores the role of linear prediction in spec- tral analysis for speech. Speciflcally, this assignment focusses on the efiect of prediction order on resulting spectral approximations. Spectrograms : Questions : 1. The spectrogram corresponding to "tone" shows constant energy at 1000 Hz. The spectrogram for "sweep" shows energy sweeping from 0 Hz to 4000 Hz at a linear rate. The spectrogram for the "noise" signal shows energy evenly spread with respect to frequency and time. 2. If
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 5

20111ee114_1_CA3_Sol - 30 20 10 0 10 20 0 0.5 1 1.5 2 2.5 3...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online