Sai Yamanoor / pi_day_audio Public
Target: Raspberry Pi RP2040 (Cortex-M0+ 133MHz) 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

No name set

Raspberry Pi RP2040 (Cortex-M0+ 133MHz)

100 ms

264 kB

2048 kB

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F1-score

Precision

Recall

100%
mfe-conv1d-c4d
PERFORMANCE
LATENCY
554 ms of 100 ms
Exceeds target by 454 ms
RAM
23 kB of 264 kB
ROM
31 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:14:20 AM

100%
mfe-conv1d-655
PERFORMANCE
LATENCY
650 ms of 100 ms
Exceeds target by 550 ms
RAM
24 kB of 264 kB
ROM
39 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:14:26 AM

100%
mfcc-conv1d-5f7
PERFORMANCE
LATENCY
860 ms of 100 ms
Exceeds target by 760 ms
RAM
25 kB of 264 kB
ROM
38 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFCC

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:14:33 AM

100%
mfcc-conv1d-d31
PERFORMANCE
LATENCY
1119 ms of 100 ms
Exceeds target by 1019 ms
RAM
27 kB of 264 kB
ROM
38 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:14:43 AM

100%
mfe-conv1d-5ef
PERFORMANCE
LATENCY
566 ms of 100 ms
Exceeds target by 466 ms
RAM
25 kB of 264 kB
ROM
39 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

2/23/2023, 6:15:50 AM

100%
mfe-conv1d-e7c
PERFORMANCE
LATENCY
548 ms of 100 ms
Exceeds target by 448 ms
RAM
21 kB of 264 kB
ROM
28 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
dropout - - 0.25

2/23/2023, 6:17:31 AM

100%
mfe-conv1d-ca3
PERFORMANCE
LATENCY
634 ms of 100 ms
Exceeds target by 534 ms
RAM
24 kB of 264 kB
ROM
39 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:17:02 AM

100%
mfe-conv1d-407
PERFORMANCE
LATENCY
569 ms of 100 ms
Exceeds target by 469 ms
RAM
22 kB of 264 kB
ROM
31 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:15:52 AM

100%
mfcc-conv2d-f93
PERFORMANCE
LATENCY
1742 ms of 100 ms
Exceeds target by 1642 ms
RAM
34 kB of 264 kB
ROM
31 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:15:47 AM

100%
mfe-conv2d-a4c
PERFORMANCE
LATENCY
919 ms of 100 ms
Exceeds target by 819 ms
RAM
34 kB of 264 kB
ROM
54 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:20:30 AM

100%
mfe-conv1d-883
PERFORMANCE
LATENCY
1081 ms of 100 ms
Exceeds target by 981 ms
RAM
30 kB of 264 kB
ROM
31 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:17:11 AM

100%
mfcc-conv1d-e2c
PERFORMANCE
LATENCY
1887 ms of 100 ms
Exceeds target by 1787 ms
RAM
36 kB of 264 kB
ROM
67 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFCC

0.05 | 0.025 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:18:48 AM

100%
mfcc-conv2d-55b
PERFORMANCE
LATENCY
1849 ms of 100 ms
Exceeds target by 1749 ms
RAM
34 kB of 264 kB
ROM
31 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:19:49 AM

100%
mfe-conv2d-75b
PERFORMANCE
LATENCY
705 ms of 100 ms
Exceeds target by 605 ms
RAM
30 kB of 264 kB
ROM
32 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:20:01 AM

100%
mfcc-conv2d-4f6
PERFORMANCE
LATENCY
1799 ms of 100 ms
Exceeds target by 1699 ms
RAM
35 kB of 264 kB
ROM
35 kB of 2048 kB
DSP NN Unused
TIME-SERIES INPUT

2000 ms |
2000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 100%

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

2/23/2023, 6:20:15 AM

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