---
# System prepended metadata

title: Mockingjay analysis

---

# Mockingjay analysis



## LinearLarge M3 (original)

| Layers        | Phone         | Speaker       |
| :-----------: | :-----------: | :-----------: |
| WSN           |    0.6513     |               |
| 12            |    0.6487     |    0.9969     |
| 11            |    0.6551     |    0.9911     |
| 10            |    0.6322     |    0.9761     |
|  9            |    0.6291     |    0.8561     |
|  8            |    0.6181     |    0.632      |
|  7            |    0.601      |    0.91       |
|  6            |    0.5995     |    0.9215     |
|  5            |    0.6021     |    0.9478     |
|  4            |    0.6036     |    0.8001     |
|  3            |    0.6233     |    0.3099     |
|  2            |    0.6345     |    0.6357     |
|  1            |    0.5936     |    0.4168     |



## LinearLarge M3 (leo)

| Layers        | Phone         | Speaker       |
| :-----------: | :-----------: | :-----------: |
| WSN           |               |    0.9550     |
| 12            |   0.6313      |    0.9751     |
| 11            |   0.6372      |    0.9839     |
| 10            |   0.6427      |    0.98       |
|  9            |   0.6412      |    0.9571     |
|  8            |   0.6382      |    0.9199     |
|  7            |   0.6355      |    0.848      |
|  6            |   0.6347      |    0.7187     |
|  5            |   0.6331      |    0.6033     |
|  4            |   0.6304      |    0.5597     |
|  3            |   0.6263      |    0.5653     |
|  2            |   0.621       |    0.5346     |
|  1            |   0.5969      |    0.4903     |



## LinearLarge M3 (pohan)

| Layers        | Phone         | Speaker       |
| :-----------: | :-----------: | :-----------: |
| WSN           |               |    0.9904     |
| 12            |               |    0.9023     |
| 11            |               |    0.9458     |
| 10            |               |    0.9877     |
|  9            |               |    0.9893     |
|  8            |               |    0.9913     |
|  7            |               |    0.9907     |
|  6            |               |    0.9533     |
|  5            |               |    0.6367     |
|  4            |               |    0.4094     |
|  3            |               |    0.5367     |
|  2            |               |    0.8426     |
|  1            |               |    0.7114     |


## Phonme segmentation

| Model          | R       | F       | Prec    | Recall  | Mean Product |
| :------------: | :-----: | :-----: | :-----: | :-----: | :----------: |
| Linearlargem3  | 0.79263 | 0.75552 | 0.74364 | 0.76779 | 1.60         |
|                | 0.78469 | 0.74678 | 0.71205 | 0.78506 | 1.70         |
|                | 0.77046 | 0.73720 | 0.67864 | 0.80682 | 1.80         |
|                | 0.75100 | 0.72414 | 0.64790 | 0.83546 | 1.90         |
|                | 0.72616 | 0.70832 | 0.61476 | 0.85020 | 2.00         |
|                | 0.69921 | 0.69152 | 0.58276 | 0.86438 | 2.10         |
|                | 0.79148 | 0.75863 | 0.77242 | 0.74533 | 1.50         |
|                | 0.78279 | 0.75573 | 0.79460 | 0.72048 | 1.40         |
|                | 0.77038 | 0.75157 | 0.82100 | 0.69296 | 1.30         |
|                | 0.75518 | 0.74085 | 0.83223 | 0.66755 | 1.20         |
|                | 0.73255 | 0.72193 | 0.84065 | 0.63259 | 1.10         |
| Linearlargem6  | 0.76209 | 0.72104 | 0.71964 | 0.72244 | 1.10         |
|                | 0.75722 | 0.71438 | 0.67387 | 0.76007 | 1.12         |
|                | 0.74891 | 0.70866 | 0.65183 | 0.77635 | 1.13         |
|                | 0.70969 | 0.68307 | 0.59006 | 0.81089 | 1.15         |
|                | 0.65632 | 0.52786 | 0.52786 | 0.84613 | 1.17         |
|                | 0.55794 | 0.57122 | 0.42215 | 0.88305 | 1.20         |
|                | 0.75851 | 0.72042 | 0.73648 | 0.70504 | 1.09         |
|                | 0.75530 | 0.72211 | 0.75852 | 0.68903 | 1.08         |
|                | 0.73960 | 0.71449 | 0.78660 | 0.65449 | 1.06         |
|                | 0.72054 | 0.70284 | 0.81131 | 0.61996 | 1.04         |
|                | 0.69050 | 0.67785 | 0.83040 | 0.57265 | 1.01         |
| Linearlargem9  | 0.74327 | 0.69807 | 0.69057 | 0.70574 | 1.20         |
|                | 0.73540 | 0.68924 | 0.64060 | 0.74589 | 1.30         |
|                | 0.70523 | 0.66625 | 0.58374 | 0.77593 | 1.40         |
|                | 0.65948 | 0.63634 | 0.52351 | 0.81117 | 1.50         |
|                | 0.60712 | 0.59777 | 0.46455 | 0.83812 | 1.60         |
|                | 0.54253 | 0.54288 | 0.39576 | 0.86410 | 1.70         |
|                | 0.73311 | 0.69301 | 0.71935 | 0.66853 | 1.10         |
|                | 0.71446 | 0.68192 | 0.74842 | 0.62628 | 1.00         |
|                | 0.68851 | 0.66000 | 0.76133 | 0.58247 | 0.90         |
|                | 0.65990 | 0.63469 | 0.77762 | 0.53615 | 0.80         |
|                | 0.62330 | 0.59572 | 0.78014 | 0.48181 | 0.70         |

| Model          | R       | F       | Prec    | Recall  | Kernel Width |
| :------------: | :-----: | :-----: | :-----: | :-----: | :----------: |
| Baseline       | 0.76649 | 0.72823 | 0.73747 | 0.71921 | 70           |
|                |         |         |         |         |              |
|                |         |         |         |         |              |
|                |         |         |         |         |              |
|                |         |         |         |         |              |
|                |         |         |         |         |              |
|                |         |         |         |         |              |
|                |         |         |         |         |              |
|                |         |         |         |         |              |
|                |         |         |         |         |              |

## Commands
- Linearlargem3
```

```

- Linearlargem6
```
python3 boundary/main.py --mode phoneme_segmentation --dataset timit --seg_target l --expname dryrun --dryrun --mock result/result_mockingjay/battle/public/linearlargem6/mockingjay-210000.ckpt  --headids 11-0 --logit_temp 1.1 --logit_h 0.08 --logit_blur 2.7
```

- Linearlargem9
```
python3 boundary/main.py --mode phoneme_segmentation --dataset timit --seg_target l --expname dryrun --mock result/result_mockingjay/battle/public/linearlargem9-2/mockingjay-260000.ckpt --headids 11-11 --logit_temp 1.5 --logit_blur 1.06  --dryrun

0.776858
```

- Baseline
```
python3 boundary/main.py --mode phoneme_segmentation --dataset timit --seg_target r --expname dryrun --dryrun --h 70 --K 6
```

- Attention KGM
python3 boundary/main.py --dataset timit --expname dryrun --mode phoneme_segmentation --seg_target lkgm --h 0.2 --window_size 32 --K 3 --logit_temp 1.05 --dryrun

0.7571119


- M9 11th: 
python3 boundary/main.py --mode phoneme_segmentation --dataset timit --seg_target m --mock_layer 10 --expname dryrun --mock result/result_mockingjay/battle/public/linearlargem9-2/mockingjay-260000.ckpt  --h 500 --logit_temp 1.004 --dryrun --plot_lines False --start 8 --end -8