| --- |
| license: mit |
| tags: |
| - multimodal |
| - audio |
| - image |
| - embeddings |
| --- |
| |
| # Cross-modal associative embeddings (MNIST + AudioMNIST) |
|
|
| Frozen encoder embeddings for a cross-modal (image <-> audio) associative |
| memory experiment. Generated by the `associative-learning` project; see |
| `MANIFEST.json` for exact provenance. |
|
|
| ## Contents |
|
|
| | File | Rows | Dim | Description | |
| |---|---|---|---| |
| | `image_train.npz` | 60,000 | 768 | ViT pooled embeddings of MNIST train images | |
| | `image_test.npz` | 10,000 | 768 | ViT pooled embeddings of MNIST test images | |
| | `audio_train.npz` | 24,000 | 768 | AST pooled embeddings of AudioMNIST train clips | |
| | `audio_test.npz` | 6,000 | 768 | AST pooled embeddings of AudioMNIST test clips | |
|
|
| Each `.npz` holds `embeddings` (N, 768) plus metadata: |
|
|
| - `label` — digit class (0-9) |
| - `key` — stable source identifier |
| - audio files additionally carry `speaker_id` and `gender` (0=male, 1=female) |
|
|
| ## Encoders (frozen, never fine-tuned) |
|
|
| - **Images:** `google/vit-base-patch16-224` (ViT-base) |
| - **Audio:** `MIT/ast-finetuned-audioset-10-10-0.4593` (AST) |
|
|
| Audio is resampled to 16 kHz; the AST feature extractor computes the log-Mel. |
|
|
| ## Split |
|
|
| The upstream splits leak speakers, so the split here is rebuilt: |
| **speaker-disjoint and gender-balanced**. AudioMNIST's shipped test set is only |
| 1/12 female (8%), which cannot support a gender-generalization claim. |
|
|
| ## Pairing caveat |
|
|
| MNIST and AudioMNIST share a *label*, never an instance — no image of a "3" was |
| spoken as that same "3". Association here is **label-mediated**, not |
| instance-level. Pairing is a Cartesian product, so every image of a digit may |
| be paired with every clip of that digit, in both directions. |
|
|
