VoiceXTractor
~ A python CLI tool to extract voice sentences from audio files with speech recognition ~
Ko-fi · Installation · Changelog
Developed by @veeso
Current version: 0.1.2 (23/09/2022)
About VXT 🚜
VXT, which stands for VoiceXTractor is a Python command-line utility to extract voice tracks from audio.
How it works:
- You provide VXT with an audio file
- The audio file is split by silence
- for each "track" chunked by the audio file, it gets the speech for it using a customisable speech-to-text engine
- you can at this point work on tracks (amplify, normalize, split, remove...)
- export the tracks to files with the format you prefer
Get started 🚀
You can install VXT with pip:
pip3 install vxt
then you must install dependencies:
pip3 install SpeechRecognition PyInquirer pydub termcolor click
you also need to install ffmpeg or libav.
Finally you can run VXT with the following arguments:
python3 -m vxt -l it_IT -o ./output/ ./assets/hackerino.mp3
this will split the hackerino.mp3 audio file into tracks by voice into output/, the -l option specifies the audio language is Italian.
vxt supports these options:
-e, --engine TEXT Specify speech2text engine [bing, google,
google-cloud, houndify, ibm, sphinx] (default:
google)
-l, --language TEXT Specify audio language (e.g. it_IT), system
language will be used otherwise
-f, --output-fmt TEXT Specify output format (See readme)
-o, --output-dir TEXT Specify output directory
-A, --api-key TEXT Specify api key (required for: bing, google
-J, --json-credentials TEXT Specify json credentials (required for: google-
cloud)
-C, --client-id TEXT Specify client id (required for: houndify)
-K, --client-key TEXT Specify client key (required for: houndify)
-U, --username TEXT Specify username (required for: ibm)
-P, --password TEXT Specify user password (required for: ibm)
--keyword-entries TEXT Specify keyword entries (required for: sphinx)
--grammar-file TEXT Specify grammar file (required for: sphinx)
--help Show this message and exit.
by default the google engine will be used for speech-to-text.
Output format
Track filename fmt.
The syntax use parameters which must be preceeded by %, everything in between will be kept the same.
The following parameters are supported.
%%: print percentage symbol%d: current day%H: current hours%I: current timestamp ISO8601 syntax%M: current minutes%m: current month%S: current seconds%s: track speech%s.NUMBERtrack speech cut at length (e.g.%s.24)%t: track number in track list (from 1 to n)%y: current year with 2 digits%Y: current year with 4 digits
Support the developer ☕
If you like VXT and you're grateful for the work I've done, please consider a little donation 🥳
You can make a donation with one of these platforms:
Contributing and issues 🤝🏻
Contributions, bug reports, new features and questions are welcome! 😉 If you have any question or concern, or you want to suggest a new feature, or you want just want to improve VXT, feel free to open an issue or a PR.
Please follow our contributing guidelines
Changelog ⏳
View VXT's changelog HERE
Powered by 💪
VXT is powered by these awesome projects:
License 📃
VXT is licensed under the MIT license.
You can read the entire license HERE
Metadata
Release files for vxt 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vxt-0.1.2.tar.gz | 27.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vxt-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 95.7 kB
Release files / vxt-0.1.2.tar.gz
| Download URL | vxt-0.1.2.tar.gz |
|---|---|
| Size | 27.5 kB |
| Tags | Source |
|
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Release files / vxt-0.1.2-py3-none-any.whl
| Download URL | vxt-0.1.2-py3-none-any.whl |
|---|---|
| Size | 68.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.14
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