Winfried / Wakeword-Computer 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

Run #4

Espressif ESP-EYE (ESP32 240MHz)

100 ms

4096 kB

4096 kB

Filters

Status

DSP type

Model type

View

Data set

Variant

Sort

General

F1-score

Precision

Recall

96%
mfe-conv1d-043
PERFORMANCE
LATENCY
90 ms of 100 ms
RAM
16 kB of 4096 kB
ROM
70 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 96%

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

3/15/2025, 8:15:00 PM

96%
mfe-conv1d-235
PERFORMANCE
LATENCY
97 ms of 100 ms
RAM
16 kB of 4096 kB
ROM
70 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 96%

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

3/15/2025, 8:12:42 PM

95%
mfe-conv1d-f30
PERFORMANCE
LATENCY
173 ms of 100 ms
Exceeds target by 73 ms
RAM
17 kB of 4096 kB
ROM
35 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 95%

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

3/15/2025, 8:21:25 PM

94%
mfe-conv1d-c21
PERFORMANCE
LATENCY
124 ms of 100 ms
Exceeds target by 24 ms
RAM
16 kB of 4096 kB
ROM
43 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 94%

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.25

3/15/2025, 8:23:05 PM

93%
mfe-conv1d-5b1
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
5 kB of 4096 kB
ROM
35 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 93%

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

3/15/2025, 8:18:04 PM

91%
mfe-conv1d-033
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
5 kB of 4096 kB
ROM
35 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 91%

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25

3/15/2025, 8:23:56 PM

89%
mfcc-conv1d-072
PERFORMANCE
LATENCY
316 ms of 100 ms
Exceeds target by 216 ms
RAM
19 kB of 4096 kB
ROM
41 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 89%

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

3/15/2025, 8:19:14 PM

89%
mfe-conv2d-3fa
PERFORMANCE
LATENCY
47 ms of 100 ms
RAM
10 kB of 4096 kB
ROM
38 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 89%

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

3/15/2025, 8:21:01 PM

89%
mfcc-conv1d-641
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
4 kB of 4096 kB
ROM
34 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 89%

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

3/15/2025, 8:15:29 PM

88%
mfcc-conv1d-d5f
PERFORMANCE
LATENCY
409 ms of 100 ms
Exceeds target by 309 ms
RAM
22 kB of 4096 kB
ROM
69 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 88%

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

3/15/2025, 8:12:53 PM

88%
mfcc-conv1d-524
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
4 kB of 4096 kB
ROM
34 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 88%

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

3/15/2025, 8:18:32 PM

87%
mfcc-conv1d-49a
PERFORMANCE
LATENCY
209 ms of 100 ms
Exceeds target by 109 ms
RAM
17 kB of 4096 kB
ROM
42 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 87%

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.25

3/15/2025, 8:19:55 PM

87%
mfcc-conv1d-9cc
PERFORMANCE
LATENCY
12 ms of 100 ms
RAM
8 kB of 4096 kB
ROM
69 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 87%

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

3/15/2025, 8:23:36 PM

87%
mfe-conv1d-979
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
6 kB of 4096 kB
ROM
43 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 87%

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

3/15/2025, 8:21:17 PM

87%
mfcc-conv1d-9f3
PERFORMANCE
LATENCY
242 ms of 100 ms
Exceeds target by 142 ms
RAM
19 kB of 4096 kB
ROM
41 kB of 4096 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 87%

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

3/15/2025, 8:12:25 PM