Project design for making a gate for kick and snare drum mics feeded by piezo triggers in ESP32 and I2S PCM boards.
| ADC | ESP32 |
|-------|-------|
| 3.3V | 3.3V |
| GND | GND |
| SCK | IO0 |
| LRC | IO16 |
| OUT | IO18 |
| BCK | IO5 |
| - | - |
| LIN | LIN |
| AGND | AGND |
| RIN | RIN |
| - | - |
| FMY | - |
| MD1 | - |
| MD0 | - |
| GND | - |
| 3.3 | - |
| +5V | - |
| DAC | ESP32 |
|-------|-------|
| VIN | - |
| 3V0 | 3V3 |
| GND | GND |
| WSEL | IO16 |
| DIN | IO17 |
| BCKL | IO5 |
| Lout | Lout |
| AGND | AGND |
| Rout | Rout |
| - | - |
| SCLK | IO0 |
| SF1 | - |
| MUTE | - |
| SF0 | - |
| PLL | - |
| DEEM | - |
| LCD | ESP32 |
|-------|-------|
| GND | GND |
| VCC | 5V |
| SDA | IO21 |
| SCL | IO22 |
| SD | ESP32 |
|-------|-------|
| CS | IO12 |
| SCK | IO14 |
| MOSI | IO26 |
| MISO | IO27 |
| VCC | 5V |
| GND | GND |
| ENCOD | ESP32 |
|-------|-------|
| A | IO19 |
| B | IO23 |
| - | - |
| A | IO15 |
| B | IO2 |
| - | - |
| A | IO13 |
| B | IO25 |
| BUTTO | ESP32 |
|-------|-------|
| GND | GND |
| HOT | IO33 |
| - | - |
| GND | GND |
| HOT | IO32 |
| - | - |
| GND | GND |
| HOT | IO3 |
| EMA_a | High Pass Filter |
|-------|----------------------|
| 0.05 | 0338.71 hz 6dB / oct |
| 0.1 | 0878.52 hz 6dB / oct |
| 0.2 | 2022.70 hz 6dB / oct |
| 0.3 | 3514.10 hz 6dB / oct |
Code used to generate raw and filtered samples to compare
import numpy as np
import scipy.io.wavfile as wavf
def apply_high_pass(high_pass: object, read_sample: int) -> int:
high_pass["EMA_s"] = int(
high_pass["EMA_a"] * read_sample) + ((1 - high_pass["EMA_a"]) * high_pass["EMA_s"]
)
return read_sample - high_pass["EMA_s"]
sample_rate = 44100
original_array = np.random.uniform(-32768, 32767, 500000)
filtered_array = np.copy(original_array)
high_pass_test = {
"EMA_a": 0.2,
"EMA_s": 0
}
for i, sample in enumerate(original_array):
filtered_array[i] = apply_high_pass(high_pass_test, sample)
wavf.write(
f'filtered-{str(high_pass_test["EMA_a"])}.wav',
sample_rate,
filtered_array
)
wavf.write(
f'original-{str(high_pass_test["EMA_a"])}.wav',
sample_rate,
original_array
)bit_depth = 24
so...
bit_depth_max_value = 16,777,216
calculating...
max_volume = 20 log(10) 16,777,215 => ~144dB
desired_db_reduction = 144db
multiply_sample_by = 0.5 ** (144 / 6)
from scipy.io.wavfile import read
import numpy
a = read("kick.wav")
b = numpy.array(a[1],dtype=int)
c = [sample[0] for sample in b][:8704]
print(c)int input_buffer[64];
int output_buffer[64];
int input_buffer[64];
int output_buffer[64];
float a_coeffs[3];
float b_coeffs[3];
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