Amna Zahid · imagine-talent

Email

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2021

Education

SEECS

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DOB

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Career

Current role

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Target role

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Skills

NLP, Natural Language Processing, Speech Recognition, ASR, Urdu NLP, Kaldi FrameWork, Git, Flask, Python

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.

Transcribing calls and Differentiating in between multiple speakers using 
NLP techniques 
Project aims at providing call transcription by not only doing exceptional continuous speech 
recognition but also the identification of multiple speakers using various Natural Language 
Processing (NLP) techniques. Sentences. The user will speak or provide audio and the website will 
provide the text of the spoken words. This will help users to further store and use the transcribed 
data and apply other Natural Language Processing techniques to obtain meaningful data. We intend 
to build up a strong, steady, and normal scientific establishment for vigorous ASR for Urdu 
language, underlining the strategies demonstrated to be fruitful and expected to continue or 
extend their future materialism 
Features include: 
● To Gather large amounts of data that covers maximum words ·To recognize urdu words 
● Formation of urdu sentences ·Automatic speech recognition for providing call transcription 
Differentiating between speakers. 






















Technology Used: 
Kaldi FrameWork,Git,Flask,Python 
Supervisor Name: 
Mr. Umair Arshad 
Co Supervisor Name 
Dr.Mirza Omer Beg 
Group Members:   
Muhammad Mazarib(i17-0004) 
Muhammad Tauseeq(i17-0277) 
Amna Zahid(i17-0286)

AI enrichment

Amna Zahid is a BSCS graduate who worked on a group project involving Automatic Speech Recognition (ASR) for the Urdu language. The project utilized NLP techniques to transcribe audio calls and differentiate between multiple speakers using the Kaldi framework, Flask, and Python.

Skills (AI)

["Python", "Flask", "Kaldi", "Natural Language Processing (NLP)", "Automatic Speech Recognition (ASR)", "Git", "Speaker Diarization"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 239
Created: 1778144136