28 lines
2.6 KiB
Markdown
28 lines
2.6 KiB
Markdown
# Wake-Word Engine Evaluation
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This document outlines the evaluation of wake-word engines for the Atlas project, as described in TICKET-005.
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## Comparison Matrix
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| Feature | openWakeWord | Porcupine (Picovoice) |
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| ------------------------------ | ------------------------------------------------------------------------- | ------------------------------------------------------------------------- |
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| **Licensing** | Apache 2.0 (Free for commercial use) | Commercial license required for most use cases, with a limited free tier. |
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| **Custom Wake-Word** | Yes, supports training custom wake-words. | Yes, via the Picovoice Console, but limited in the free tier. |
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| **Hardware Compatibility** | Runs on Linux, Raspberry Pi, etc. Models might be large for MCUs. | Wide platform support, including constrained hardware and microcontrollers. |
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| **Performance/Resource Usage** | Good performance, can run on a single core of a Raspberry Pi 3. | Highly optimized for low-resource environments. |
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| **Accuracy** | Good accuracy, but some users report mixed results. | Generally considered very accurate and reliable. |
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| **Language Support** | Primarily English. | Supports multiple languages. |
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## Recommendation
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Based on the comparison, **openWakeWord** is the recommended wake-word engine for the Atlas project.
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**Rationale:**
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- **Licensing:** The Apache 2.0 license allows for free commercial use, which is a significant advantage for the project.
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- **Custom Wake-Word:** The ability to train a custom "Hey Atlas" wake-word is a key requirement, and openWakeWord provides this capability without the restrictions of a commercial license.
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- **Hardware:** The target hardware (Linux box/Pi/NUC) is more than capable of running openWakeWord.
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- **Performance:** While Porcupine may have a slight edge in performance on very constrained devices, openWakeWord's performance is sufficient for our needs.
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The main risk with openWakeWord is the potential for lower accuracy compared to a commercial solution like Porcupine. However, given the open-source nature of the project, we can fine-tune the model and contribute improvements if needed. This aligns well with the project's overall philosophy.
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