Kroko-ASR
| Property | Value |
|---|---|
| Author | Banafo |
| License | Dual-license (Free for non-commercial use) |
| Model URL | Hugging Face |
| Supported Languages | English, French, German |
What is Kroko-ASR?
Kroko-ASR is an innovative speech recognition model designed specifically for edge devices, emphasizing low-latency streaming capabilities. Currently in preview release for Fosdem 2025, this model aims to deliver superior performance compared to similar-sized Whisper models and other ASR solutions.
Implementation Details
The model employs a modified k2/Icefall pipeline for training, with inference capabilities through the standard Sherpa project. It's specifically engineered to run efficiently on CPU, featuring a browser-based demo that operates entirely client-side.
- Optimized for edge device deployment
- Low-latency streaming architecture
- Browser-based CPU inference capability
- Modified k2/Icefall training pipeline
Core Capabilities
- Multi-language support (English, French, German)
- Real-time streaming processing
- Edge device optimization
- CPU-efficient architecture
- Spanish and Portuguese support planned for Feb 14
Frequently Asked Questions
Q: What makes this model unique?
Kroko-ASR stands out for its edge-device optimization and low-latency streaming capabilities, making it ideal for real-world applications where quick response times are crucial. The model's ability to run efficiently on CPU sets it apart from many contemporary ASR solutions.
Q: What are the recommended use cases?
The model is particularly well-suited for edge device applications requiring real-time speech recognition, such as IoT devices, mobile applications, and embedded systems. It's ideal for scenarios where low-latency processing is critical and resource constraints exist.
