04 November, 2016
Detailed
encoding for Play Five Repertoire
COMPONENT
|
TYPE
|
NUMBER OF BITS/RANGE
|
Description /Comments
|
Emotion
|
ASCII
|
(0-50 characters)
400 bits
|
The emotion of the
repertoire for example, can be “happy”, or “sad”. This can be expressed in a
short one or two-word description. It will take about 10 characters to
describe each repertoire and each character is 8bits.
|
Volume
|
Number
|
7 bits
(0-100dB)
|
Throughout the
repertoire the band is performing at a range of ppp (whispering, very soft,
0dB) and at fff (extremely loud, 100dB)
|
Articulation
|
ASCII
|
(0-210 characters)
1680 bits
|
In a repertoire, there
are various types of articulations including legato, staccato, accent, slur,
sforzando, and phrase mark. Each music
can contain up to 6 articulations, each about 7 characters.
|
Tone
|
ASCII
|
(0-25 characters)
200 bits
|
The tone of the music can be
described in a short one to two word such as “light” or “heavy”. The tone of
each repertoire can be describe in a five characters. Each character takes
8bits.
|
Tempo
|
Number
|
8
Bits
(0-200)
|
Depending on the music
the tempo can range from grave (15),
a slow speed to prestissimo (200).
It is best to
represent the tempo in numbers.
|
Time
|
Number
|
13 bits
(0-8191 secs)
(0-2 hours)
|
The time of the repertoire can be
measured in seconds since the opening of the concert to the end of the
concert. 2 bits provides (0-8191) seconds for a little over two hours. This
is important for knowing the order of repertoire.
|
Reflection:
From
doing this project, I realized that not every single component that goes into
performing a band concert can be encoded. This is an example of abstraction-removing
irrelevant detail to focus on the valuable characteristics. Not every component
of performing a band concert is important. For example, the color of the seats
in the auditorium is not as important as the tempo of each repertoire. When only the important components are
mentioned, the whole experience takes less bits to encode. However, since many things will be left out,
there are drawbacks. The exact experience cannot be replicated. This means it is lossy. Also, the exact experience
cannot be duplicated because the number of bits for each component is only a
rough estimation, not precise and can be inaccurate.
