Skip to main content

A tool for manually annotating audio with ToDI-style prosody.

Project description

ToneSwiper

Transcription of Dutch Intonation (ToDI)

The ToDI framework describes intonation in the Dutch language as a series of prosodic events, such as rising (L*H) and falling (H*L) pitch accents, and high (H%) and low (L%) boundaries.

ToneSwiper facilitates manual transcription of intonation using this framework, by making it more efficient and more enjoyable. Specifically, it enables speedy transcription in real-time, in sync with the audio, through intuitive hotkey combinations.

Future versions of this program may support other ToDI/ToBI-like transcription frameworks, suitable for other languages.

Installation

You can install ToneSwiper from the Python Package Index:

pip install toneswiper

Or use pipx to install it in its own virtual environment (see pipx installation instructions).

To install the latest version potentially in development, install directly from the git repository (with pip or pipx):

pip install git+https://github.com/mwestera/toneswiper

Usage

On the command-line, a typical usage would be to navigate to a folder with one or more .wav-files (cd some/folder/with/wav/files) to be transcribed, and do:

toneswiper *.wav

This will start the gui app to let you annotate the selected sound files. It can be almost exclusively controlled by the keyboard; press F1 to open a help window explaining the keyboard controls.

If your folder also contains .TextGrid files (with names matching the .wav files), as exported from Praat, and/or you want to save your annotations to such files, you can do the following:

🌩 WARNING 🌩 This will modify your .TextGrid files by adding a 'ToDI' tier, and/or modifying it if the tier already exists. It may also destroy your files altogether, so best do this only on a duplicate of your 'real' files.

toneswiper *.wav --textgrid

You can also customize the tier to which the annotations are saved:

toneswiper *.wav --textgrid todi2

For more info, do:

toneswiper --help

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

toneswiper-0.2.tar.gz (43.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

toneswiper-0.2-py3-none-any.whl (60.2 kB view details)

Uploaded Python 3

File details

Details for the file toneswiper-0.2.tar.gz.

File metadata

  • Download URL: toneswiper-0.2.tar.gz
  • Upload date:
  • Size: 43.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for toneswiper-0.2.tar.gz
Algorithm Hash digest
SHA256 75300a0f74f20d6966855c9d05b2687bd527ff28442ab28b690d2d12699547cf
MD5 7335b4102c676c2c3094145e88ab47b5
BLAKE2b-256 08350fc8d21ff43377ed6a0625950da1550f3604d8c91ee46b405ed40a7f330a

See more details on using hashes here.

File details

Details for the file toneswiper-0.2-py3-none-any.whl.

File metadata

  • Download URL: toneswiper-0.2-py3-none-any.whl
  • Upload date:
  • Size: 60.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for toneswiper-0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 b7ad8525379476aba22cffcab5d7b041cbe6212a7c4751c87f33a3980804796c
MD5 428ca2916bba7c2d6ba6b648ec0011dc
BLAKE2b-256 3e5c5d28254a8cc9f9bb6a1e7615b59c9442861f7c111789873e29fa050a3515

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page