Technical Challenges
Combining algorithmic rigor with musical performance to preserve the Somali tradition.
This page details the technical coding challenge for my application. The task was to demonstrate proficiency in algorithmic problem-solving and DSP concepts without using external audio libraries.
My solution uses Python (NumPy) to synthesize a "Qaraami melody"—a stylistic homage to traditional Somali music. This merges my engineering expertise with my cultural heritage.
The Algorithmic Core
Writing robust Python code to manage digital audio synthesis, custom envelopes, and musical structures.
Python Script for Audio Generation
Generated Audio Results
Portfolio Submission
Oud Improvisation (Othaman)
Piano Composition
Somali Rhythmic Study
Built from Scratch (Pure NumPy)
To demonstrate my grasp of Digital Signal Processing, I built this synthesis engine using zero external audio libraries.
1. The Physics (Karplus-Strong)
1def oud_string(freq, duration):
2 """
3 Simulates a plucked string using
4 Ring Buffer + Low Pass Filter.
5 No samples. Pure math.
6 """
7 N = int(SAMPLE_RATE / freq)
8 pluck = np.random.uniform(-1, 1, N)
9 output = np.zeros(samples)
10 current = 0
11
12 for i in range(samples):
13 output[i] = pluck[current]
14 avg = 0.994 * 0.5 * (pluck[current] + pluck[(current + 1) % N])
15 pluck[current] = avg
16 current = (current + 1) % N
17
18 return output2. The "Camel Gait" Rhythm
1# The Dhaanto "Gallop"
2# We don't use a 4/4 grid.
3# We use Swing Quantization.
4
5SWING_DELAY = 0.02 # 20ms offset
6
7if step % 2 != 0:
8 # Delay the off-beat to create
9 # the "limping" feel of a camel
10 time += SWING_DELAY
11
12play_note(freq, time)"This challenge solidified my commitment to exploring how computational methods can not only innovate in music creation but also profoundly connect with and enrich cultural expressions."