M0JPI / Sound Test Public
Target: Raspberry Pi 4 Clone this project
Experiments EON Tuner
The EON Tuner helps you quickly run hyper-parameter sweeps that explore different pre-processing + model architectures optimized for your defined objectives. Clone this project to use the EON Tuner.

Target

RPi4-3rd-tune

Raspberry Pi 4

100 ms

8388608 kB

33554432 kB

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Run #12 - RPi4-6th-tune (Sep 26 2024, 14:26:50, finished) Run #11 - RPi4-5th-tune (Sep 08 2024, 17:00:46, finished) Run #10 - RPi4-5th-tune (Sep 01 2024, 14:33:07, finished) Run #9 - RPi4-5th-tune (Aug 31 2024, 20:58:58, finished) Run #8 - RPi4-5th-tune (Aug 27 2024, 19:45:25, finished) Run #7 - RPi4-5th-tune (Aug 26 2024, 15:20:52, running) Run #6 - RPi4-5th-tune (Aug 01 2024, 19:49:02, finished) Run #5 - RPi4-5th-tune (Aug 01 2024, 19:35:52, finished) Run #4 - RPi4-4rd-tune (Aug 01 2024, 18:58:40, finished) Run #3 - RPi4-3rd-tune (Aug 01 2024, 17:51:22, finished) Run #2 - RPi4-1st-tune (Aug 01 2024, 15:33:53, finished) Run #1 - RPi4-1st-tune (Jul 28 2024, 15:38:22, finished)
10%
mfe-conv1d-ff4
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
26 kB of 8388608 kB
ROM
181 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFE

0.02 | 0.02 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 10%

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
conv1d 256 3 -
dropout - - 0.25

8/1/2024, 6:08:11 PM

mfe-conv1d-ae1
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
29 kB of 8388608 kB
ROM
86 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

MFE

0.032 | 0.016 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 0%

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

8/1/2024, 6:07:58 PM

43%
mfe-conv1d-954
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
22 kB of 8388608 kB
ROM
179 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 43%

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
conv1d 256 3 -
dropout - - 0.25

8/1/2024, 6:04:58 PM

14%
mfe-conv2d-dac
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
40 kB of 8388608 kB
ROM
43 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 14%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

8/1/2024, 6:06:00 PM

10%
mfcc-conv2d-fc4
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
35 kB of 8388608 kB
ROM
43 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFCC

0.02 | 0.02 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 10%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.25

8/1/2024, 6:06:24 PM

mfe-conv1d-2c2
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
37 kB of 8388608 kB
ROM
92 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFE

0.02 | 0.01 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 0%

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

8/1/2024, 6:04:33 PM

mfe-conv1d-d1f
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
27 kB of 8388608 kB
ROM
59 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

MFE

0.032 | 0.016 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 0%

Type Filters Kernel Rate
Data augmentation
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

8/1/2024, 6:04:10 PM

62%
mfcc-conv2d-407
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
29 kB of 8388608 kB
ROM
45 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 62%

Type Filters Kernel Rate
Data augmentation
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.25

8/1/2024, 5:58:11 PM

57%
mfcc-conv2d-52e
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
18 kB of 8388608 kB
ROM
58 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 57%

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.25

8/1/2024, 6:02:25 PM

52%
mfcc-conv2d-cb3
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
24 kB of 8388608 kB
ROM
40 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 52%

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.5

8/1/2024, 6:03:28 PM

mfcc-conv2d-ba6
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
35 kB of 8388608 kB
ROM
43 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFCC

0.02 | 0.02 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 0%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

8/1/2024, 6:02:49 PM

52%
mfe-conv1d-634
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
22 kB of 8388608 kB
ROM
178 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 52%

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
conv1d 256 3 -
dropout - - 0.5

8/1/2024, 6:02:02 PM

14%
mfcc-conv2d-7ce
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
29 kB of 8388608 kB
ROM
41 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFCC

0.05 | 0.025 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 14%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.5

8/1/2024, 6:01:35 PM

mfcc-conv2d-673
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
42 kB of 8388608 kB
ROM
46 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFCC

0.032 | 0.016 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 5%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

8/1/2024, 6:00:34 PM

62%
mfcc-conv2d-b93
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
21 kB of 8388608 kB
ROM
58 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

6000 ms |
6000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 62%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.25

8/1/2024, 5:59:48 PM

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