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<!DOCTYPE HTML>
<!--
Massively by HTML5 UP
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Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>Ananya Ayasi</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
<noscript><link rel="stylesheet" href="assets/css/noscript.css" /></noscript>
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<body class="is-preload">
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<div id="wrapper">
<!-- Header -->
<header id="header">
<a href="index.html" class="logo">Research Experience</a>
</header>
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<nav id="nav">
<ul class="links">
<li><a href="index.html">Home</a></li>
<li class="active"><a href="generic.html">Research Experience</a></li>
<li><a href="elements.html">Volunteering</a></li>
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<li><a href="https://github.com/ananya-ayasi" class="icon brands fa-github"><span class="label">GitHub</span></a></li>
<li><a href="https://www.linkedin.com/in/ananya-ayasi-0b654a166/" class="icon brands fa-linkedin"><span class="label">LinkedIn</span></a></li>
</ul>
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<!-- Main -->
<div id="main">
<!-- Post -->
<section class="post">
<header class="major">
<span class="date">Academia</span>
</header>
<div id="work-section">
<p>
<b>wav2gloss: Speech to Glossed Text of Low Resource Languages </b>
</p>
<ul>
<li>
Guided by <a href="https://www.cs.cmu.edu/~lsl/">Prof. Lori</a>, <a href="https://sites.google.com/view/shinjiwatanabe">Prof. Shinji Watanabe</a> and <a href="https://www.cs.cmu.edu/~dmortens/">Prof. David Mortensen</a>
</li>
<li> Automatically generate Interlinear Glossed Text of low-resource languages from audio files.</li>
<li>Focusing on the speech enhancement of audio files using ESPNet2 to improve the ASR performance.</li>
</ul>
<p>
<b>Multilingual TTS Accent Impressions for Accented ASR </b>
</p>
<ul>
<li>
Guided by <a href="https://sites.google.com/view/shinjiwatanabe">Prof. Shinji Watanabe</a> and <a href="https://www.cs.cmu.edu/~dmortens/">Prof. David Mortensen</a>
</li>
<li> Fine-tuning of English ASR systems for L2-English speakers.</li>
<li>Paper accepted to Text, Speech and Dialogue Conference (Sept 4-7, 2023)</li>
</ul>
<p>
<b>Speaker Diariazation using Deep Learning Techniques</b>
</p>
<ul>
<li>
Guided by <a href="http://www.rajeevrajan.in/">Dr. Rajeev Rajan</a>
</li>
<li>Implemented Bi-LSTM and Bi-GRU models with self-attention as baseline model and obtained an error rate of 25.7%.</li>
<li>Experimented with various deep learning techniques involving transformers to diarize a given audio with data
obtained from AMI Speech Corpus</li>
<li>Paper accepted to ICNGIS 2022</li>
</ul>
<p>
<b>Octoechos classification in liturgical music using Deep Learning frameworks</b>
</p>
<ul>
<li>
Guided by <a href="http://www.rajeevrajan.in/">Dr. Rajeev Rajan</a>
</li>
<li>
This automatic classification scheme is addressed using MTF-GRU, MTF-LSTM, MTF-SBU-LSTM, MTF-SB-GRU and MTF-SBU-GRU. The performance of these methods is compared using their accuracy (precision, recall and f1-score).</a>
</li>
<li>
The proposed experiment demonstrates the potential of SBU-LSTM in learning information through MTF.
</li>
<li>
Paper accepted to INTERSPEECH 2022.
</li>
</ul>
<p>
<b>Understanding the scope of quantum technology to gauge its social impact </b> - <em>Independent and Self-started</em>
</p>
<ul>
<li>
Presented a research poster for “Careers in Quantum” conducted by QET Labs and University of Bristol.
</li>
<li>
Gave a talk on <a href="https://www.womentech.net/speaker/Ananya/Ayasi/58004">Quantum Technology and its Impact on Society</a> for WomenTech Global Conference 2021.
</li>
<li>
Gave a talk on <a href="https://www.linkedin.com/posts/ananya-ayasi-0b654a166_vocalize-is-an-initiative-by-women-in-engineering-activity-6718212110821703680-nvYW">Basics of Quantum Computing”</a> as the first speaker of “Vocalize”, conducted by IEEE Travancore Hub on 4th October, 2020.
</li>
</ul>
<br>
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</section>
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<ul><li>© Ananya</li><li>Design: <a href="https://html5up.net">HTML5 UP</a></li></ul>
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