Forum Discussion
How can I do audio transcription with AI on Windows 11?
You can use NVIDIA NeMo because it is an open-source toolkit designed for speech recognition. Rather than focusing on complex graphical interfaces, it leverages NVIDIA GPUs to quickly perform speech-to-text tasks. For those who need to process large volumes of audio recordings, videos, or other audio materials, it serves as a flexible audio transcription AI.
What scenarios is it suitable for?
NeMo is best suited for users who want to take control of the transcription process themselves. You can load pre-trained speech recognition models, feed audio into the model to obtain text results, and further process timestamps or other outputs as needed.
Key Capabilities:
- GPU Acceleration: Optimized for NVIDIA GPUs, suitable for large-scale audio processing.
- Speech Recognition: Converts speech in recordings to text.
- Pre-trained Models: Transcription can be performed directly using existing models.
- Timestamp Support: Depending on the specific model and processing method, results with timestamps can be obtained.
- Developer-Friendly: Ideal for users who need to integrate speech recognition into their own projects.
How to Use AI for Audio Transcription
Step 1: Install ASR-related components:
pip install “nemo_toolkit[asr]”
Step 2: Load the appropriate pre-trained model and input the audio file for transcription.
The final output is plain text that includes a timestamp generated according to the configuration.
I use SpeechBrain when I need to transcribe audio with pre-trained ASR models, and it works pretty well for me. It’s an open-source PyTorch-based toolkit that can be useful as an audio transcription tool. You just need to install it with:
pip install speechbrain
Then you can load a pre-trained model such as speechbrain/asr-crdnn-rnnlm-librispeech and use it to generate plain-text transcriptions. It’s a good option if you’re already familiar with Python and PyTorch, although the setup is more technical than a typical desktop application.