GitHub - SPEECHCOG/autoVAI: to compute formant-based articulation features from read speech

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to compute formant-based articulation features from read speech

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
auto_man_corr.py		auto_man_corr.py
efficacy_frames_screen.py		efficacy_frames_screen.py
formants_error_detection.py		formants_error_detection.py
formants_measure_man		formants_measure_man
frame_formants_measure		frame_formants_measure
frames_screen.py		frames_screen.py
readme.txt		readme.txt
run.py		run.py
soft_decode_ipa.py		soft_decode_ipa.py
txt2xlsx.py		txt2xlsx.py
vowel_articulation_auto.py		vowel_articulation_auto.py
vowel_articulation_expert_rating_corr_PCGITA.py		vowel_articulation_expert_rating_corr_PCGITA.py
vowel_articulation_expert_rating_corr_PDSTU.py		vowel_articulation_expert_rating_corr_PDSTU.py
vowel_articulation_expert_rating_corr_TORGO.py		vowel_articulation_expert_rating_corr_TORGO.py
vowel_articulation_man.py		vowel_articulation_man.py

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# LIU Yuanyuan (yuanyuan.liu@tuni.fi), TUT, 2021-3-29.
In thi folder, the least programs used for automatic computation of vowel articulation features are included.

To use this tool:
1) environment of python3.
2) the phoneme recognizer Allosaurus should be installed: "pip install ipa_recognizer".
3) software praat should be installed.
4) In run.py, the directory for praat should be customized. 
5) In the two praat scripts used in run.py, the value of filepath_source should be customized.

Citation of this work:
Yuanyuan Liu, Nelly Penttilä, Tiina Ihalainen, Juulia Lintula, Rachel Convey, Okko Räsänen, “Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment”, IEEE/ACM Transactions on Audio, Speech and Language Processing, 15 June, 2021. DOI: 10.1109/TASLP.2021.3090973.