semvec/pypi-packages huggingface dataset:
audio-dataset-converter-all 0.1.0
Meta-library that combines all audio-dataset-converter libraries.
License: MIT License

Meta-library that combines all audio-dataset-converter libraries (https://github.com/waikato-llm/audio-dataset-converter).

Examples can be found here:

https://github.com/waikato-llm/audio-dataset-converter-examples


Changelog
=========

0.1.0 (2025-10-31)
------------------

- upgraded audio_dataset_converter to 0.1.0: https://github.com/waikato-llm/audio-dataset-converter/releases/tag/v0.1.0
- upgraded audio_dataset_converter_faster_whisper to 0.1.0: https://github.com/waikato-llm/audio-dataset-converter-faster-whisper/releases/tag/v0.1.0
- upgraded audio_dataset_converter_redis to 0.1.0: https://github.com/waikato-llm/audio-dataset-converter-redis/releases/tag/v0.1.0
- upgraded audio_dataset_converter_visualization to 0.1.0: https://github.com/waikato-llm/audio-dataset-converter-visualization/releases/tag/v0.1.0


0.0.3 (2025-07-10)
------------------

- upgraded audio_dataset_converter to 0.0.3
- upgraded audio_dataset_converter_faster_whisper to 0.0.3
- upgraded audio_dataset_converter_redis to 0.0.2
- upgraded audio_dataset_converter_visualization to 0.0.3


0.0.2 (2025-03-14)
------------------

- switched to underscores in project name
- upgraded audio_dataset_converter to 0.0.2
- upgraded audio_dataset_converter_faster_whisper to 0.0.2
- upgraded audio_dataset_converter_visualization to 0.0.2


0.0.1 (2024-07-05)
------------------

- initial release
audio-dataset-converter-visualization 0.1.0
Python3 library that adds visualization supportto the audio-dataset-converter library.
License: MIT License

The **audio-dataset-converter-visualization** library is an extension to **audio-dataset-converter**
with plugins for visualizing audio data.

Examples can be found here:

https://github.com/waikato-llm/audio-dataset-converter-examples


Changelog
=========

0.1.0 (2025-10-31)
------------------

- switched to `kasperl` library for base API and generic pipeline plugins


0.0.3 (2025-07-10)
------------------

- new grouping support added to writers via the `--split_group` option


0.0.2 (2025-03-14)
------------------

- switched to underscores in project name
- added placeholder support to: `to-mel-spectrogram`, `to-mfcc-spectrogram`, `to-stft-spectrogram`


0.0.1 (2024-07-05)
------------------

- initial release
audio-dataset-converter-redis 0.1.0
Redis integration for the audio-dataset-converter library.
License: MIT License

Redis integration for the audio-dataset-converter library.

Examples can be found here:

https://github.com/waikato-llm/audio-dataset-converter-examples

For making predictions, Docker images for Deep learning frameworks with Redis support are available from here:

https://www.data-mining.co.nz/docker-images/


Changelog
=========

0.1.0 (2025-10-31)
------------------

- switched to `kasperl` library for base API and generic pipeline plugins
- using `kasperl_redis` as dependency for base redis classes now


0.0.2 (2025-07-10)
------------------

- switched to underscores in project name


0.0.1 (2024-07-05)
------------------

- initial release
audio-dataset-converter-faster-whisper 0.1.0
Python3 library that adds audio transcription support (.wav, .mp3) to the audio-dataset-converter library.
License: MIT License

The **audio-dataset-converter-faster-whisper** library is an extension to **audio-dataset-converter** with
plugins for transcribing audio files (.wav, .mp3) using the faster-whisper library
(https://github.com/SYSTRAN/faster-whisper).

Examples can be found here:

https://github.com/waikato-llm/audio-dataset-converter-examples


Changelog
=========

0.1.0 (2025-10-31)
------------------

- switched to `kasperl` library for base API and generic pipeline plugins


0.0.3 (2025-07-10)
------------------

- using underscores now instead of dashes in dependencies (`setup.py`)


0.0.2 (2025-03-14)
------------------

- switched to underscores in project name
- added support for placeholders: `adc-srt`


0.0.1 (2024-07-05)
------------------

- initial release