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Abdullah Shahid

FAST · 2022 · I18 - 0526

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Phone

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GitHub

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Academic

Program

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CGPA

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Year

2022

Education

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Address

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DOB

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Career

Current role

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Target role

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Skills

Kaldi, Python, Scikit-learn, Javascript, NLTK, Flask, UrduHack, PyAudio, Spacy, Google Colab

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Urdu Audio Miner 
 
Urdu Audio Miner is a web based application to search for a word or phrase through Urdu audio files. Searching manually through audio files for a word or phrase is time consuming and tiring work. Automating this task can save a lot of time. Urdu Audio Miner provides the timestamps, after searching, where word was spoken so user can easily play audio from that point. Along with the searching functionality user also can check if audio file contains offensive language or not, and one can also download the transcription of audio file. 
Features include: 
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Searching for a word or phrase in audio files 
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Detecting offensive language in audio files 
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Either upload the audio files or provide a YouTube video link. 
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Provide word or phrase to be searched in Roman Urdu, recording through microphone or by uploading an audio file containing that word. 
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Get the timestamps where phrase occurred and play audio file from that specific time. 
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Transcribing Urdu audio files 
      Downloading transcription in text format 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
Kaldi, Python, Scikit-learn, Javascript, NLTK, Flask,  
UrduHack, PyAudio, Spacy, Google Colab 
Supervisor Name: 
Mr. Umair Arshad 
Group Members:   
Humayun Afzal (I18 - 0738) 
Abdullah Shahid (I18 - 0526) 
Hafiz Muhammad Talha (I18 - 0513)

AI enrichment

Abdullah Shahid contributed to a web-based application for searching and transcribing Urdu audio files using Kaldi and Python. The project involved implementing features for phrase detection, offensive language identification, and transcription download.

Skills (AI)

["Python", "Kaldi", "Flask", "JavaScript", "NLTK", "Spacy", "UrduHack", "Scikit-learn", "PyAudio", "Speech Recognition", "Natural Language Processing"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 266
Created: 1778170963