speech-to-text
Real-time transcription using faster-whisper
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Accepts audio input from a microphone using a Sounddevice. By using Silero VAD(Voice Activity Detection), silent parts are detected and recognized as one voice data. This audio data is converted to text using Faster-Whisper.
The HTML-based GUI allows you to check the transcription results and make detailed settings for the faster-whisper.
Transcription speed
If the sentences are well separated, the transcription takes less than a second.
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Large-v2 model
Executed with CUDA 11.7 on a NVIDIA GeForce RTX 3060 12GB.
Installation
- pip install .
for Windows
Please execute "run.bat." It will perform the following actions:
- Create a Python virtual environment.
- Install pip packages.
- Run speech_to_text.
Usage
- python -m speech_to_text
- Select "App Settings" and configure the settings.
- Select "Model Settings" and configure the settings.
- Select "Transcribe Settings" and configure the settings.
- Select "VAD Settings" and configure the settings.
- Start Transcription
If you use the OpenAI API for text proofreading, set OPENAI_API_KEY as an environment variable.
Notes
- If you select local_model in "Model size or path", the model with the same name in the local folder will be referenced.
Demo
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News
2023-06-26
- Add generate audio files from input sound.
- Add synchronize audio files with transcription.
Audio and text highlighting are linked.
2023-06-29
- Add transcription from audio files.(only wav format)
2023-07-03
- Add Send transcription results from a WebSocket server to a WebSocket client.
Example of use: Display subtitles in live streaming.
2023-07-05
- Add generate SRT files from transcription result.
2023-07-08
- Add support for mp3, ogg, and other audio files.
Depends on Soundfile support. - Add setting to include non-speech data in buffer.
While this will increase memory usage, it will improve transcription accuracy.
2023-07-09
- Add non-speech threshold setting.
2023-07-11
- Add Text proofreading option via OpenAI API.
Transcription results can be proofread.
2023-07-12
- Add feature where audio and word highlighting are synchronized.
if Word Timestamps is true.
2023-10-01
- Support for repetition_penalty and no_repeat_ngram_size in transcribe_settings.
- Updating packages.
2023-11-27
- Support "large-v3" model.
- Update faster-whisper requirement to include the latest version "0.10.0".
2024-07-23
- Support "Faster Distil-Whisper" model.
- Update faster-whisper requirement to include the latest version "1.0.3".
- Updating packages.
- Add run.bat for Windows.
Todo