AUDIOFILES. Harika Basana (firstname.lastname@example.org ), Elizabeth Chan (email@example.com ), Nikolai Sinkov(firstname.lastname@example.org ), Frank Zhang (email@example.com ) 6100 Main Street, Rice University, Houston, Texas 77005. GOAL To explore the MP3 technology and to implement various audio data compression
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Harika Basana (firstname.lastname@example.org ), Elizabeth Chan (email@example.com ), Nikolai Sinkov(firstname.lastname@example.org ), Frank Zhang (email@example.com ) 6100 Main Street, Rice University, Houston, Texas 77005
file into a smaller-sized file.
two files by just hearing.
transferred via the Internet.
algorithms that retain satisfying audio quality.
Ding.wav before compression
Ding.wav with frequencies within 1 std from the mean
Original signal sampled at 44100Hz
The x-axis DT sample and the y-axis is the amplitude
After linear quantization
Ding.wav with frequencies within 2 std from the mean
Ding.wav with frequencies within 3 std from the mean
After tangent quantization
After arctangent quantization
samples if they are below a certain threshold.
implementing to get good results.
from the energy spectrum.
standard deviation (std) from the mean.
and 3 stds from the mean.
is very short, has monotonous tones, and has little
Diagram of the quantization “buckets” for the three
(1000 – 5100 Hz and 12500 - 15200Hz).
- amount of compression
- sound quality of the output.
tutorials/mp3/mp3how.php and more…