Discover @Shahabks Open Source projects

Shahab Sabahi (@Shahabks)

Shahabks

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Global Rank 64,890 (Top 3 %)
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Registered over 7 years ago
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Python
84.6 %

C
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CSS
7.7 %
Location 🇯🇵 Japan
Country Total Rank 1,461
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Python
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CSS
659

C
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my-voice-analysis

My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, and formants.

myprosody

A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.

Speechat

Spoken Language assessment

Machine-Learning-Algorithm-for-Voice-Analysis

It is an algorithm analysed the acoustic features of a voice and creates an acoustic classifier - USEFUL for auto-speech-rater

Neural-Networks-for-Voice-Analysis

It is an algorithm analysed the acoustic features of a voice and creates an acoustic classifier - USEFUL for auto-speech-rater

Converter-pdf-files-to-.txt-or-.html

PDFs are notoriously difficult to scrape. This program converts them to *.txt or *.html formats. The program has tested for Latin alphabets and Japanese.

mystracher

A structure / Grammar checker of English - Built on AtD, After the Deadline for Python 3.7

myspokenlanguageid

Spoken language identification with CNN and RNN - Early Stage

Legal-Document-Summarization

A comparative study of summarization algorithms applied to legal case judgments by Paheli Bhattacharya

My-Voice-Recorder

Capturing Microphone Data into an Audio File

Convert-Compare-Images-to-DWG-format

Converting a raster or a vector image to DWG

Spoken-Words-Game

A simple game for checking prosody of speech and pronunciation ENGLISH now

Repo-KCIN3D-reconstruction

For the prototype KMCIN1 and feasibility study Feb-March 2021

SUN_TORY_ML_Shelf_Allocation_Project

PCA, Correlation, + Linear/Non-Linear Algorithms: Logistic Regression, Linear Discriminant Analysis, Gaussian Naive Bayes. Support Vector Machines, K-Nearest Neighbors,. Classification and Regression Trees.