This project provides an offline speech recognition and speaker identification solution for Android applications, leveraging the Vosk library. It's designed for developers seeking on-device voice processing capabilities without relying on cloud services, offering enhanced privacy and reduced latency.

How It Works

The demo utilizes the Vosk speech recognition toolkit, which is based on the Kaldi speech recognition toolkit. Vosk models are designed for efficient on-device execution, making them suitable for mobile environments. The project integrates these models into an Android application, enabling real-time speech-to-text conversion and speaker identification directly on the device.

Quick Start & Requirements

Pre-built binaries are available in the releases section. Further documentation and instructions can be found on the Vosk Website.

Highlighted Details

• Offline speech recognition and speaker identification.
• Utilizes Vosk and Kaldi toolkits.
• Suitable for mobile applications.

Maintenance & Community

Information regarding maintenance, community, or specific contributors is not detailed in the provided README.

Licensing & Compatibility

The licensing details are not specified in the provided README. Compatibility for commercial use or closed-source linking would require further investigation into the underlying Vosk and Kaldi licenses.

Limitations & Caveats

The README does not specify any limitations, known bugs, or deprecation status of the demo. Further details on model performance, supported languages, or hardware requirements are not provided.