| # Acoustic Keystroke Leakage Dataset (Multi-Microphone) |
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| This dataset is designed for research in acoustic keystroke side-channel attacks, speech/typing synchronization, and keystroke dynamics. It features multi-channel audio recordings of typing tests captured under varying physical and digital configurations. |
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| ## 🚀 Data Gathering Framework |
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| ### Data Collection Phases |
| The typing tests are structured into three distinct phases representing different cognitive and text-semantic profiles: |
| * **Phase 1:** No-Semantic text (syntactically cor-rect but semantically meaningless sentences generatedautomatically, minimizing linguistic predictability andemphasizing acoustic discrimination). |
| * **Phase 2:** Semantic text (coherent paragraphsin natural language). |
| * **Phase 3:** Spontaneous text (freely described images, capturing unconstrained typingbehavior, including pauses and corrections). |
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| ## 🎙️ Hardware & Microphone Setup |
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| The dataset captures synchronized acoustic data from three distinct sources to simulate realistic physical and digital attack surfaces: |
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| | Audio Source | Physical Location | Recording Computer | Characteristics & Limitations | |
| | :--- | :--- | :--- | :--- | |
| | **Microphone 1** | Back of the keyboard | Victim's Computer | Direct, close-range acoustic signature of keys. Tied tightly to local logging. | |
| | **Microphone 2** | Left of the keyboard | Attacker's Computer | Continuous, uncut audio stream. *Note:* Absolute keystroke timings based on local Unix timestamps cannot be fully synchronized with this channel due to independent clocks between the attacker and victim hardware. | |
| | **Zoom_Audio** | Digital Feed (Mic 1) | Attacker/Remote | The audio from **Microphone 1** passed through a Zoom call. The platform's software noise-suppression filter was explicitly set to **Minimal (Low)**. | |
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| ## 📊 Dataset Statistics |
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| The table below breaks down the number of split utterances across dataset partitions (Train, Validation, Test), recording channels, and typing phases. |
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| | Subset | Train | Validation | Test | Total | |
| | :--- | :---: | :---: | :---: | :---: | |
| | **All** | **3876** | **579** | **1157** | **5612** | |
| | Mic1 | 1216 | 185 | 371 | 1772 | |
| | Mic2 | 1332 | 197 | 370 | 1899 | |
| | VOIP (Zoom) | 1328 | 197 | 416 | 1941 | |
| | Phase 1 (Non-Sem) | 1364 | 209 | 381 | 1954 | |
| | Phase 2 (Semantic) | 1645 | 283 | 457 | 2385 | |
| | Phase 3 (Spontan) | 867 | 87 | 319 | 1273 | |
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| ## 📁 Dataset Structure |
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| The processed dataset is organized into three parallel directories containing split speech/typing segments: |
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| ```text |
| Clean_Dataset_Sentences/ |
| ├── wavs/ # Audio segments in their native sample rates (.wav format) |
| ├── keys/ # Character alignment data (.txt format) |
| └── timestamps/ # Fine-grained temporal alignment metadata (.json format) |
| ``` |
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| ### 1. wavs/ |
| Contains the segmented audio files cropped around typing events. Files preserve their original capture sample rates (no downsampling applied) to retain high-frequency acoustic characteristics of specific switches. |
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| ### 2. keys/ |
| Text files containing the string or explicit ID of each pressed key matching the audio timeline. For normal phases, this contains the text sequence. For split/punctuated phases, elements include normalized key identifiers (e.g., tracking explicit events like "period", "question", or "exclam"). |
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| ### 3. timestamps/ |
| JSON files containing an ordered list of floating-point values representing the relative or absolute timestamps (in seconds) for each individual pressed key within that segment. This allows for token-level acoustic mapping. |
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| ### file name format |
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| ``` |
| [audioSource]_[PhaseID]_[SessionID]_[SentenceID].[extension] |
| ``` |
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| `[audioSource]`: The recording channel source. Maps to either Mic1, Mic2, or Zoom_Audio. |
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| `[PhaseID]`: The typing test phase corresponding to the text type (1 for Non-Semantic, 2 for Semantic, 3 for Spontaneous). |
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| `[SessionID]`: A unique numerical identifier representing a specific participant and recording session. |
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| `[SentenceID]`: The sequential index of the split sentence or text block within that session. |
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