<commit_before># openMHA

HörTech Open Master Hearing Aid (openMHA)

## Content of the openMHA release 4.5.4 (2018-02-13)

The software contains the source code of the openMHA Toolbox library, of the
openMHA framework and command line application, and of a selection of algorithm
plugins forming a basic hearing aid processing chain featuring
- calibration
- bilateral adaptive differential microphones for noise suppression [1]
- binaural coherence filter for feedback reduction and dereverberation [2]
- multi-band dynamic range compressor for hearing loss compensation [3]
- spatial filtering algorithms:
 - a delay-and-sum beamformer
 - a MVDR beamformer [4]
- single-channel noise reduction [5]
- simple upsampling and downsampling plugins
- STFT cyclic aliasing prevention
- adaptive feedback cancellation [6]
- probabilistic sound source localization [7]

## Citation in publications

In publications using openMHA, please cite

<NAME>., <NAME>., <NAME>., <NAME>., <NAME>., Open signal
processing software platform for hearing aid research (openMHA).
Proceedings of the Linux Audio Conference. Université Jean Monnet,
Saint-Étienne, pp. 35-42, 2017.

As we are working on an updated paper, please check back this section
of the README for updates.<commit_msg>Bump date<commit_after># openMHA

HörTech Open Master Hearing Aid (openMHA)

## Content of the openMHA release 4.5.4 (2018-02-14)

The software contains the source code of the openMHA Toolbox library, of the
openMHA framework and command line application, and of a selection of algorithm
plugins forming a basic hearing aid processing chain featuring
- calibration
- bilateral adaptive differential microphones for noise suppression [1]
- binaural coherence filter for feedback reduction and dereverberation [2]
- multi-band dynamic range compressor for hearing loss compensation [3]
- spatial filtering algorithms:
 - a delay-and-sum beamformer
 - a MVDR beamformer [4]
- single-channel noise reduction [5]
- simple upsampling and downsampling plugins
- STFT cyclic aliasing prevention
- adaptive feedback cancellation [6]
- probabilistic sound source localization [7]

## Citation in publications

In publications using openMHA, please cite

<NAME>., <NAME>., <NAME>., <NAME>., <NAME>., Open signal
processing software platform for hearing aid research (openMHA).
Proceedings of the Linux Audio Conference. Université Jean Monnet,
Saint-Étienne, pp. 35-42, 2017.

As we are working on an updated paper, please check back this section
of the README for updates.
{'fraction_non_alphanumeric': 0.06566455696202532, 'fraction_numerical': 0.020569620253164556, 'mean_word_length': 4.8004587155963305, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '159133', 'n_tokens_mistral': 712, 'n_tokens_neox': 643, 'n_words': 326}