Signal Processing - January 2017 - 87

Live Music
Input

Audio
Recording
Thread

Live Audio
Waveform Data

Live Audio Chroma
Chroma Vector
Real-Time
Dynamic
Time
Warping

Chroma
Feature
Extraction
Reference Audio
Chroma Vector

Reference Audio
Waveform Data
Reference
Audio
Reference
Lyrics Data

ce

tan

Import
Lyrics Prealigned
with Reference
Audio

Display
Lyrics in Real
Time

n

me

gn

Ali

s
t In

Output Lyrics Aligned with Live Music

Figure 11. Lyrics display system flowchart.

the audience. As basic harmonic progression of two recordings is similar,
the chroma feature is used to represent
the audio data. It uses 12 bins to represent the relative energy of the audio
in the 12 semitones of a musical octave,
represents the harmonic content of the
audio. A prerecorded version of a concert serves as reference for lyrics alignment. This is performed through online
dynamic time wrapping. See the design
and interface shown in Figures 11 and
12, respectively.
A National Instruments (NI)-based
project is detailed in "Acoustic Detection and Localization of Impulsive
Events in Urban Environments" by
Sabeeh Irfan Ahmad, Hassan Shahbaz, Hassam Noor, Dr. Momin Uppal, and Dr. Muhammad Tahir with
the Syed Babar Ali School of Science
and Engineering, Lahore University of
Management Sciences, Pakistan. The
project focused on the detection of impulsive acoustic events and localizing
the source in an urban environment.
As illustrated in Figure 13, the system
used an array of microphones that recorded the sounds and transmitted raw
data to a central fusion center, based

on the NI compact reconfigurable
input-output setup. With a sampling
frequency of 100 KHz per channel and
on-board field-programmable gate array unit programmed to minimize latency, the collected data was process
to estimate the source angle-of-arrival.
The sine sweep method was found to be
the most effective, where a sinusoid of
temporally increasing frequency, both
linearly and exponentially, is applied
via accurate speakers.
This first set of project highlights
manifest a diverse collection of undergraduate engineering projects and

tools. Some concentrate on developing
devices that offer a solution for social or environmental needs. Others
are focused on mathematical modeling and research to advance existing
technology. A tutorial project offered
step-by-step guidelines for building
an image acquisition and processing
platform. Many projects concentrated
on embedded systems and all incorporated signal and information processing methods commonly thought in
fundamental courses.
The main objective of this effort is
to expand the knowledge base in the

Figure 12. A graphic user interface.
IEEE Signal Processing Magazine

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January 2017

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87



Table of Contents for the Digital Edition of Signal Processing - January 2017

Signal Processing - January 2017 - Cover1
Signal Processing - January 2017 - Cover2
Signal Processing - January 2017 - 1
Signal Processing - January 2017 - 2
Signal Processing - January 2017 - 3
Signal Processing - January 2017 - 4
Signal Processing - January 2017 - 5
Signal Processing - January 2017 - 6
Signal Processing - January 2017 - 7
Signal Processing - January 2017 - 8
Signal Processing - January 2017 - 9
Signal Processing - January 2017 - 10
Signal Processing - January 2017 - 11
Signal Processing - January 2017 - 12
Signal Processing - January 2017 - 13
Signal Processing - January 2017 - 14
Signal Processing - January 2017 - 15
Signal Processing - January 2017 - 16
Signal Processing - January 2017 - 17
Signal Processing - January 2017 - 18
Signal Processing - January 2017 - 19
Signal Processing - January 2017 - 20
Signal Processing - January 2017 - 21
Signal Processing - January 2017 - 22
Signal Processing - January 2017 - 23
Signal Processing - January 2017 - 24
Signal Processing - January 2017 - 25
Signal Processing - January 2017 - 26
Signal Processing - January 2017 - 27
Signal Processing - January 2017 - 28
Signal Processing - January 2017 - 29
Signal Processing - January 2017 - 30
Signal Processing - January 2017 - 31
Signal Processing - January 2017 - 32
Signal Processing - January 2017 - 33
Signal Processing - January 2017 - 34
Signal Processing - January 2017 - 35
Signal Processing - January 2017 - 36
Signal Processing - January 2017 - 37
Signal Processing - January 2017 - 38
Signal Processing - January 2017 - 39
Signal Processing - January 2017 - 40
Signal Processing - January 2017 - 41
Signal Processing - January 2017 - 42
Signal Processing - January 2017 - 43
Signal Processing - January 2017 - 44
Signal Processing - January 2017 - 45
Signal Processing - January 2017 - 46
Signal Processing - January 2017 - 47
Signal Processing - January 2017 - 48
Signal Processing - January 2017 - 49
Signal Processing - January 2017 - 50
Signal Processing - January 2017 - 51
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Signal Processing - January 2017 - 53
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Signal Processing - January 2017 - 55
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Signal Processing - January 2017 - 58
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Signal Processing - January 2017 - 60
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Signal Processing - January 2017 - 63
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Signal Processing - January 2017 - 65
Signal Processing - January 2017 - 66
Signal Processing - January 2017 - 67
Signal Processing - January 2017 - 68
Signal Processing - January 2017 - 69
Signal Processing - January 2017 - 70
Signal Processing - January 2017 - 71
Signal Processing - January 2017 - 72
Signal Processing - January 2017 - 73
Signal Processing - January 2017 - 74
Signal Processing - January 2017 - 75
Signal Processing - January 2017 - 76
Signal Processing - January 2017 - 77
Signal Processing - January 2017 - 78
Signal Processing - January 2017 - 79
Signal Processing - January 2017 - 80
Signal Processing - January 2017 - 81
Signal Processing - January 2017 - 82
Signal Processing - January 2017 - 83
Signal Processing - January 2017 - 84
Signal Processing - January 2017 - 85
Signal Processing - January 2017 - 86
Signal Processing - January 2017 - 87
Signal Processing - January 2017 - 88
Signal Processing - January 2017 - 89
Signal Processing - January 2017 - 90
Signal Processing - January 2017 - 91
Signal Processing - January 2017 - 92
Signal Processing - January 2017 - 93
Signal Processing - January 2017 - 94
Signal Processing - January 2017 - 95
Signal Processing - January 2017 - 96
Signal Processing - January 2017 - 97
Signal Processing - January 2017 - 98
Signal Processing - January 2017 - 99
Signal Processing - January 2017 - 100
Signal Processing - January 2017 - 101
Signal Processing - January 2017 - 102
Signal Processing - January 2017 - 103
Signal Processing - January 2017 - 104
Signal Processing - January 2017 - 105
Signal Processing - January 2017 - 106
Signal Processing - January 2017 - 107
Signal Processing - January 2017 - 108
Signal Processing - January 2017 - 109
Signal Processing - January 2017 - 110
Signal Processing - January 2017 - 111
Signal Processing - January 2017 - 112
Signal Processing - January 2017 - 113
Signal Processing - January 2017 - 114
Signal Processing - January 2017 - 115
Signal Processing - January 2017 - 116
Signal Processing - January 2017 - Cover3
Signal Processing - January 2017 - Cover4
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