Krishna02 at 09:11, 12 December 2024

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← Older revision		Revision as of 09:11, 12 December 2024
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	{{Infobox ~~academic~~		{{Infobox Professor
	\| ~~name~~ = ~~Chiranjeevi Yarra~~		\| education = Ph.D
	\| occupation = Professor		\| occupation = Professor
	\| ~~education~~ = ~~Ph.D~~		\| Institute = IIIT-H
	\| ~~workplaces~~ = ~~IIIT-H~~		\| specialization = Speech Signal Processing and Machine Learning
	}}		}}

Krishna02: Created page with "{{Infobox academic | name = Chiranjeevi Yarra | occupation = Professor | education = Ph.D | workplaces = IIIT-H }} ==Chiranjeevi Yarra == '''Dr. Chiranjeevi Yarra''' has joined Language Technologies Research Center (LTRC) IIIT-H – Speech Processing Lab as Assistant Professor in 2020. He has been awarded with Prof. D J Badkas Medal for the academic year 2019 – 2020 by the council of the institute for his best performance in Ph. D at IISc Bangalore..."

2024-12-05T09:11:23Z

Created page with "{{Infobox academic | name = Chiranjeevi Yarra | occupation = Professor | education = Ph.D | workplaces = IIIT-H }} ==Chiranjeevi Yarra == '''Dr. Chiranjeevi Yarra''' has joined Language Technologies Research Center (LTRC) IIIT-H – Speech Processing Lab as Assistant Professor in 2020. He has been awarded with Prof. D J Badkas Medal for the academic year 2019 – 2020 by the council of the institute for his best performance in Ph. D at IISc Bangalore..."

New page

{{Infobox academic
| name = Chiranjeevi Yarra
| occupation = Professor
| education = Ph.D
| workplaces = IIIT-H
}}

==Chiranjeevi Yarra ==
'''Dr. Chiranjeevi Yarra''' has joined Language Technologies Research Center (LTRC) [[IIIT-H]] – [[Speech Processing]] Lab as [[Assistant Professor]] in 2020. He has been awarded with Prof. D J Badkas Medal for the academic year 2019 – 2020 by the council of the institute for his best performance in [[Ph. D]] at [[IISc Bangalore]] during the online convocation held on 6 October.<ref>{{Cite web |title=Faculty profile IIIT hyderabad |url=https://www.iiit.ac.in/faculty/chiranjeevi-yarra/}}</ref><ref>{{Cite web |title=Awards prof |url=https://blogs.iiit.ac.in/monthly_news/chiranjeevi-yarra-awarded-prof-d-j-badkas-medal/}}</ref>

== Education ==
Prof Chiranheevi's academic journey began at the National Institute of Technology, Warangal, where a [[Bachelor of Technology]] (BTech) in [[Electrical and Electronics Engineering]] was completed between 2002 and 2006. This was followed by postgraduate studies at the [[Indian Institute of Technology, Kharagpur]], culminating in a Master of Technology (MTech) in Instrumentation and Signal Processing from 2007 to 2009. Further advancing academic pursuits, a [[Doctor of Philosophy]] (PhD) in Speech Signal Processing was undertaken at the Indian Institute of Science (IISc), Bangalore, spanning the years 2013 to 2020.<ref>{{Cite web |title=Education details Chiranjeevi yarra |url=https://blogs.iiit.ac.in/monthly_news/chiranjeevi-yarra/}}</ref>

==Research & Publications==
His research interests are Speech Signal Processing, Machine Learning, Digital Signal Processing and Time-varying Signal Analysis.<ref>{{Cite web |title=IEEE profile page |url=https://ieeexplore.ieee.org/author/37085781699}}</ref>

# Exploring the Use of Self-Supervised Representations for Automatic Syllable Stress Detection in 2024.<ref>{{Cite web |title=Exploring the Use of Self-Supervised Representations for Automatic Syllable Stress Detection |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=w1h4kYEAAAAJ&cstart=20&pagesize=80&citation_for_view=w1h4kYEAAAAJ:HDshCWvjkbEC}}</ref>
# A comparative analysis of sequential models that integrate syllable dependency for automatic syllable stress detection in 2024.<ref>{{Cite web |title=A comparative analysis of sequential models that integrate syllable dependency for automatic syllable stress detection |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=w1h4kYEAAAAJ&cstart=20&pagesize=80&citation_for_view=w1h4kYEAAAAJ:e5wmG9Sq2KIC}}</ref>
# Study of Indian English pronunciation variabilities relative to Received Pronunciation in 2023.<ref>{{Cite web |title=Study of Indian English pronunciation variabilities relative to Received Pronunciation |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=w1h4kYEAAAAJ&cstart=20&pagesize=80&citation_for_view=w1h4kYEAAAAJ:QIV2ME_5wuYC}}</ref>
# IIITH MM2 Speech-Text: A preliminary data for automatic spoken data validation with matched and mismatched speech-text content in 2023.<ref>{{Cite web |title=IIITH MM2 Speech-Text: A preliminary data for automatic spoken data validation with matched and mismatched speech-text content |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=w1h4kYEAAAAJ&cstart=20&pagesize=80&citation_for_view=w1h4kYEAAAAJ:mB3voiENLucC}}</ref>
# Automatic syllable stress detection under non-parallel label and data condition in 2022.<ref>{{Cite web |title=Automatic syllable stress detection under non-parallel label and data condition |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=w1h4kYEAAAAJ&cstart=20&pagesize=80&citation_for_view=w1h4kYEAAAAJ:9ZlFYXVOiuMC}}</ref>
# A study on native American English speech recognition by Indian listeners with varying word familiarity level in 2021.<ref>{{Cite web |title=A study on native American English speech recognition by Indian listeners with varying word familiarity level |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=w1h4kYEAAAAJ&cstart=20&pagesize=80&citation_for_view=w1h4kYEAAAAJ:mVmsd5A6BfQC}}</ref>
# Pronunciation assessment and semi-supervised feedback prediction for spoken English tutoring in 2020.<ref>{{Cite web |title=Pronunciation assessment and semi-supervised feedback prediction for spoken English tutoring |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=w1h4kYEAAAAJ&cstart=20&pagesize=80&citation_for_view=w1h4kYEAAAAJ:Zph67rFs4hoC}}</ref>
# Low Resource Automatic Intonation Classification Using Gated Recurrent Unit (GRU) Networks Pre-Trained with Synthesized Pitch Patterns in 2019.<ref>{{Cite web |title=Low Resource Automatic Intonation Classification Using Gated Recurrent Unit (GRU) Networks Pre-Trained with Synthesized Pitch Patterns. |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=w1h4kYEAAAAJ&cstart=20&pagesize=80&citation_for_view=w1h4kYEAAAAJ:Se3iqnhoufwC}}</ref>
# Automatic native language identification using novel acoustic and prosodic feature selection strategies in 2018.<ref>{{Cite web |title=Automatic native language identification using novel acoustic and prosodic feature selection strategies |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=w1h4kYEAAAAJ&cstart=20&pagesize=80&citation_for_view=w1h4kYEAAAAJ:eQOLeE2rZwMC}}</ref>
# A comparative study on the effect of different codecs on speech recognition accuracy using various acoustic modeling techniques in 2017.<ref>{{Cite web |title=A comparative study on the effect of different codecs on speech recognition accuracy using various acoustic modeling techniques |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=w1h4kYEAAAAJ&cstart=20&pagesize=80&citation_for_view=w1h4kYEAAAAJ:2osOgNQ5qMEC}}</ref>

== References ==

{{refList}}

Chiranjeevi Yarra - Revision history

Krishna02 at 09:11, 12 December 2024