M0JPI / Sound Test Public
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

RPi4-5th-tune

Raspberry Pi 4

100 ms

8388608 kB

33554432 kB

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General

F1-score

Precision

Recall

96%
mfcc-conv2d-655
PERFORMANCE
LATENCY
28 ms of 100 ms
RAM
94 kB of 8388608 kB
ROM
59 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 | 96%

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.5

8/26/2024, 3:36:24 PM

96%
mfe-conv1d-5ef
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
51 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 | 96%

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

8/26/2024, 3:34:42 PM

93%
mfe-conv1d-f63
PERFORMANCE
LATENCY
12 ms of 100 ms
RAM
61 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 | 93%

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

8/26/2024, 3:35:02 PM

93%
mfe-conv1d-e30
PERFORMANCE
LATENCY
12 ms of 100 ms
RAM
51 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 | 93%

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

8/26/2024, 3:29:58 PM

85%
mfe-conv2d-f0b
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
62 kB of 8388608 kB
ROM
59 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 | 85%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.5

8/26/2024, 3:36:48 PM

85%
mfe-conv2d-77f
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
58 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 | 85%

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

8/26/2024, 3:31:34 PM

81%
mfe-conv1d-0bd
PERFORMANCE
LATENCY
15 ms of 100 ms
RAM
61 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 | 81%

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

8/26/2024, 3:32:59 PM

81%
mfe-conv2d-d75
PERFORMANCE
LATENCY
6 ms of 100 ms
RAM
51 kB of 8388608 kB
ROM
42 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 81%

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

8/26/2024, 3:24:28 PM

78%
mfe-conv1d-8b6
PERFORMANCE
LATENCY
24 ms of 100 ms
RAM
104 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 | 78%

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

8/26/2024, 3:30:44 PM

78%
mfcc-conv2d-7d0
PERFORMANCE
LATENCY
18 ms of 100 ms
RAM
69 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 | 78%

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

8/26/2024, 3:28:26 PM

78%
mfe-conv1d-889
PERFORMANCE
LATENCY
22 ms of 100 ms
RAM
85 kB of 8388608 kB
ROM
187 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 | 78%

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

8/26/2024, 3:27:20 PM

74%
mfe-conv2d-416
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
76 kB of 8388608 kB
ROM
44 kB of 33554432 kB
DSP NN Unused
TIME-SERIES INPUT

5000 ms |
5000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 74%

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

8/26/2024, 3:36:30 PM

74%
mfcc-conv2d-ae8
PERFORMANCE
LATENCY
19 ms of 100 ms
RAM
60 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 | 74%

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

8/26/2024, 3:29:07 PM

74%
mfcc-conv2d-2be
PERFORMANCE
LATENCY
15 ms of 100 ms
RAM
50 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 | 74%

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

8/26/2024, 3:24:58 PM

70%
mfe-conv1d-e7e
PERFORMANCE
LATENCY
17 ms of 100 ms
RAM
79 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 | 70%

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

8/26/2024, 3:30:55 PM