A real-time speech-to-text transcription tool using machine learning (NumPy), PyQt6, and faster-whisper.
Reason this release was yanked:
I incorrecly built this like an idiot, my bad! First time!
Project description
PyVoice
PyVoice is a real-time speech-to-text transcription tool using machine learning. It provides a graphical user interface for recording audio and transcribing it into text.
Features
- Real-time audio recording
- Live audio waveform visualization
- Speech-to-text transcription using the Whisper model
- User-friendly GUI built with PyQt6
Requirements
The script automatically checks for and installs the following required packages:
numpysounddevicelibrosafaster_whisperPyQt6pyqtgraph
Installation
- Ensure you have Python installed on your system.
- Download the PyVoice script file.
- Run the script. It will automatically check for and install required packages.
Usage
- Run the PyVoice script to launch the application.
- Click "Start Recording" to begin audio capture.
- Speak into your microphone.
- Click "Stop Recording" when you're done speaking.
- PyVoice will process the audio and display the transcription.
Key Components
- AudioRecorder: Handles real-time audio recording.
- TranscriptionWorker: Processes recorded audio and generates transcriptions.
- MainWindow: Manages the graphical user interface and coordinates recording and transcription processes.
Notes
- PyVoice uses the "small" Whisper model for transcription.
- Audio is processed at a 16kHz sample rate.
- The waveform display updates in real-time during recording.
Project details
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