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it measures the “pronunciation”, "prosody", "use of language" competency and latent semantic index of a speech and rates spoken language proficiency based on existing classification of TOEFL scores

Project description

This algorithm was built for processing high-entropy speech (simultaneous free speech processing) using probabilistic
machine learning and deep learning models to predict spoken English language proficiency. This algorithm can measure the “pronunciation”,
"prosody", "use of language" competency and latent semantic index of a user (speaker) to rate its spoken proficiency based on existing
classification of TOEFL scores and also compare it with the average rate of non-native and native speakers.

This is the results from two years of study whose overall achievement is an average assessment accuracy level of 72% for non-native adult speakers.
The correlation between the human scores and the machine scores for an overall measure of speaking was 0.86 thus proving the reliability of
the measure of speaking in tests.

my-voice-analysis can be installed like any other Python library, using (a recent version of) the Python package
manager pip, on Linux, macOS, and Windows:

------------- pip install SpeechRater
or, to update your installed version to the latest release:
------------- pip install -u SpeechRater
After installing SpeechRater download the folder
-----------------speech_rate --------------
by clicking "download" 0n
and save in the directory where you will save audio files for analysis.

Audio files must be in *.wav format, recorded at 48 kHz sample frame and 24 bits of resolution.

To check how the my-voice-analysis functions behave, please check
---------------- EXAMPLES.docx on --------

Project details

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Files for SpeechRater, version 0.6
Filename, size File type Python version Upload date Hashes
Filename, size SpeechRater-0.6-py3-none-any.whl (10.5 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size SpeechRater-0.6.tar.gz (11.2 kB) File type Source Python version None Upload date Hashes View hashes

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