ImsanInBorderland's starred repositories
matchHarakat
a PHP function that checks whether two strings match completely/partially in terms of diacritics
Quran-audio-api
Restful Api fetch Quran Audio and Arabic text
python-speech-recognition-course
Python Speech Recognition Course
realtime-transcription-browser-js-example
Demo of AssemblyAI's Real-Time Websocket API (In Browser with JavaScript)
quran-api-id
REST API Al-Quran Indonesia dengan terjemahan, tafsir (Kemenag, Quraish Shihab, Al-Jalalain), audio murottal (per surah dan ayat dari 6 qori), random ayat.
PaddleSpeech
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
speech-to-text-wavenet
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
pyxDamerauLevenshtein
pyxDamerauLevenshtein implements the Damerau-Levenshtein (DL) edit distance algorithm for Python in Cython for high performance.
textdistance
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
EditTransducer
Python implementation of Levenshtein distance and Levenshtein automata matching
js-levenshtein
The most efficient JS implementation calculating the Levenshtein distance, i.e. the difference between two strings.
python-Levenshtein
The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
diff-match-patch
Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
jaro_winkler
Jaro-Winkler distance
w_distances
Just some implementations of word distance functions.
Matching-algorithm
The main purpose of this project was to develop a matching algorithm in python to fuzzy classify people from a customer list as positive or negative based on a messy positive and negative database with a confidence score.