To automatically convert audio from your Ubuntu computer's mixer into text, you need two things: a way to
route the system's audio output as an input and a speech-to-text (STT) application configured for real-time transcription. Step 1: Route System Audio as an Input
You
need to make the audio that's playing through your speakers (the "mixer
output") appear as a microphone input source. This can be done using
pavucontrol (PulseAudio Volume Control). - Install
pavucontrolif you don't have it:bashsudo apt install pavucontrol - Open PulseAudio Volume Control from your applications menu.
- Start the sound you want to transcribe (e.g., a YouTube video, a meeting, etc.).
- In
pavucontrol, go to the Recording tab. - Find the application that is producing the sound in the list. Change the input source for that application from a physical microphone to "Monitor of Internal Audio Analog Stereo" (the exact name may vary slightly depending on your system).
- Go to the Input Devices tab and make sure the "Monitor of..." source is unmuted and the level meter is reacting to the sound playing.
Step 2: Use a Speech-to-Text Application
Once
the audio is routed, you can use an application to transcribe the new
input source. The most accurate and powerful open-source tool currently
available for local processing is OpenAI's Whisper AI.
Option A: Using Google Docs (Easiest, requires internet)
A simple, browser-based method uses Google Docs' built-in voice typing feature.
- Open Google Docs in your web browser.
- Go to Tools > Voice typing. A microphone icon will appear.
- Click the microphone icon and ensure your browser has permission to access the "Monitor of Internal Audio" input (you may need to select it in your browser's site settings or Ubuntu's system sound settings if it defaults to your actual microphone).
- Play the audio from your mixer, and the text should appear in the document in real time.
Option B: Using OpenAI Whisper (Offline, more complex setup)
For an offline, more private solution, you can use the command-line version of Whisper.
- Install dependencies:bashsudo apt update
sudo apt install python3 python3-pip python3-venv ffmpeg2. Install Whisper in a virtual environment:bash python3 -m venv whisper_env source whisper_env/bin/activate pip install openai-whisper- Use a specific script for real-time transcription
that captures the default audio input and processes it (the setup for a
command-line real-time script requires additional steps beyond batch
file processing). A simple script using libraries like
sounddeviceandnumpycan be built to capture from your default system input (which you've now set to the mixer output). - Alternatively, you can record the audio output to a file first using a tool like OBS or
ffmpeg, and then run the Whisper command on the saved audio file:
whisper your_audio_file.wav --model small --output_format txt
No comments:
Post a Comment