Welcome to GLM-ASR, your go-to solution for speech recognition! With our robust, open-source speech recognition model, you can convert spoken words into text easily. This guide will take you through downloading and running the software with clear steps.
Before you start, ensure you have the following:
Having a microphone will also enhance your experience, as it allows you to provide audio input for the model.
To download GLM-ASR, go to our Releases page. This page contains the latest version of the software and other releases.
Visit the GLM-ASR Releases Page
On the Releases page, youโll see a list of available versions. Choose the latest version for the best performance and features.
Locate the download link for your operating system. Click the link to start downloading the file. Depending on your browser settings, you may be prompted to select a download location.
Once the download completes, follow these simple installation steps:
.dmg file.chmod +x <filename>../<filename>.After installation, find GLM-ASR in your applications list. Click to open it, and youโll see the interface ready for your commands.
Upon launching the app, you may need to select your microphone. This is essential for capturing your voice input. Ensure that your microphone is working correctly, and grant necessary permissions if prompted.
Yes, GLM-ASR works offline once downloaded and installed.
Currently, GLM-ASR primarily supports English, but future updates may add more languages.
No, you can use GLM-ASR without creating an account. Just download and start using it.
If you run into issues while installing or using the application, try the following fixes:
For further assistance, you can reach out in the discussions section or look for solutions on our GitHub repository.
Join the GLM-ASR community! Share your experience, ask questions, or provide feedback. Visit our discussions page to connect with other users and developers.
For detailed documentation, check out our Wiki on the GitHub repository. It contains advanced usage tips, how to contribute, and more technical information.
Remember, you can always find the latest version and updates by visiting our Releases page. Happy speech recognition!