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ORCIDChiranjeevi Yarra
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2020 – today
- 2024
[c32]Jhansi Mallela, Sai Harshitha Aluru, Chiranjeevi Yarra:
Exploring the Use of Self-Supervised Representations for Automatic Syllable Stress Detection. NCC 2024: 1-6- [i7]Sona Binu, Jismi Jose, Fathima Shimna K. V, Alino Luke Hans, Reni K. Cherian, Starlet Ben Alex, Priyanka Srivastava, Chiranjeevi Yarra:
Language-Agnostic Analysis of Speech Depression Detection. CoRR abs/2409.14769 (2024) - 2023
- [c31]Shelly Jain, Priyanshi Pal, Anil Kumar Vuppala, Prasanta Kumar Ghosh, Chiranjeevi Yarra:
An Investigation of Indian Native Language Phonemic Influences on L2 English Pronunciations. INTERSPEECH 2023: 2608-2612 - [c30]Nayan Anand, Meenakshi Sirigiraju, Chiranjeevi Yarra:
IIITH MM2 Speech-Text: A preliminary data for automatic spoken data validation with matched and mismatched speech-text content. O-COCOSDA 2023: 1-6 - [c29]Chowdam Venkata Thirumala Kumar, Meenakshi Sirigiraju, Rakesh Vaideeswaran, Prasanta Kumar Ghosh, Chiranjeevi Yarra:
Can the decoded text from automatic speech recognition effectively detect spoken grammar errors? SLaTE 2023: 41-45 - [c28]Jhansi Mallela, Prasanth Sai Boyina, Chiranjeevi Yarra:
A Comparison of Learned Representations with Jointly Optimized VAE and DNN for Syllable Stress Detection. SPECOM (2) 2023: 322-334 - [c27]Priyanshi Pal, Shelly Jain, Chiranjeevi Yarra, Prasanta Kumar Ghosh, Anil Kumar Vupalla:
Study of Indian English Pronunciation Variabilities Relative to Received Pronunciation. SPECOM (1) 2023: 339-349 - [c26]Snehal Ranjan, Sai Kalyan Nanduri, Prakul Virdi, Chiranjeevi Yarra:
Analysis of Natural Language Understanding Systems with L2 Learner Specific Synthetic Grammatical Errors Based on Parts-of-Speech. SPECOM (1) 2023: 442-454 - [i6]Nayan Anand, Meenakshi Sirigiraju, Chiranjeevi Yarra:
Unsupervised speech intelligibility assessment with utterance level alignment distance between teacher and learner Wav2Vec-2.0 representations. CoRR abs/2306.08845 (2023) - 2022
- [j3]Chiranjeevi Yarra
, Prasanta Kumar Ghosh:
Automatic syllable stress detection under non-parallel label and data condition. Speech Commun. 138: 80-87 (2022) - [c25]Vamsi Kumar, Likith Reddy, Shivam Kumar Sharma, Kamalaker Dadi, Chiranjeevi Yarra, Raju S. Bapi, Srijithesh Rajendran:
mulEEG: A Multi-view Representation Learning on EEG Signals. MICCAI (3) 2022: 398-407 - [c24]Priyanshi Pal, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
Voistutor 2.0: A Speech Corpus with Phonetic Transcription for Pronunciation Evaluation of Indian L2 English Learners. O-COCOSDA 2022 2022: 1-6 - [i5]Vamsi Kumar, Likith Reddy, Shivam Kumar Sharma, Kamalakar Dadi, Chiranjeevi Yarra, Raju S. Bapi, Srijithesh Rajendran:
mulEEG: A Multi-View Representation Learning on EEG Signals. CoRR abs/2204.03272 (2022) - [i4]Priyanshi Pal, Shelly Jain, Anil Vuppala, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
Study of Indian English Pronunciation Variabilities relative to Received Pronunciation. CoRR abs/2204.06502 (2022) - [i3]Shelly Jain, Priyanshi Pal, Anil Vuppala, Prasanta Kumar Ghosh, Chiranjeevi Yarra:
An Investigation of Indian Native Language Phonemic Influences on L2 English Pronunciations. CoRR abs/2212.09284 (2022) - 2021
- [j2]Aparna Srinivasan, Diviya Singh, Chiranjeevi Yarra, Aravind Illa, Prasanta Kumar Ghosh:
A Robust Speaking Rate Estimator Using a CNN-BLSTM Network. Circuits Syst. Signal Process. 40(12): 6098-6120 (2021) - [c23]Shelly Jain, Aditya Yadavalli, Ganesh Mirishkar, Chiranjeevi Yarra, Anil Kumar Vuppala:
IE-CPS Lexicon: An Automatic Speech Recognition Oriented Indian-English Pronunciation Dictionary. ICON 2021: 195-204 - [c22]Chiranjeevi Yarra, Prasanta Kumar Ghosh:
Noise Robust Pitch Stylization Using Minimum Mean Absolute Error Criterion. Interspeech 2021: 1174-1178 - [c21]Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan:
MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. Interspeech 2021: 2446-2450 - [c20]Abhayjeet Singh, Achuth Rao MV, Rakesh Vaideeswaran, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
A Study on Native American English Speech Recognition by Indian Listeners with Varying Word Familiarity Level. O-COCOSDA 2021: 13-18 - [i2]Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, Basil Abraham:
Multilingual and code-switching ASR challenges for low resource Indian languages. CoRR abs/2104.00235 (2021) - [i1]Abhayjeet Singh, Achuth Rao M. V, Rakesh Vaideeswaran, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
A study on native American English speech recognition by Indian listeners with varying word familiarity level. CoRR abs/2112.04151 (2021) - 2020
- [c19]Avni Rajpal, M. V. Achuth Rao, Chiranjeevi Yarra, Ritu Aggarwal, Prasanta Kumar Ghosh:
Pseudo Likelihood Correction Technique for Low Resource Accented ASR. ICASSP 2020: 7434-7438
2010 – 2019
- 2019
- [c18]Manoj Kumar Ramanathi, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
ASR Inspired Syllable Stress Detection for Pronunciation Evaluation Without Using a Supervised Classifier and Syllable Level Features. INTERSPEECH 2019: 924-928 - [c17]Sweekar Sudhakara, Manoj Kumar Ramanathi, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
An Improved Goodness of Pronunciation (GoP) Measure for Pronunciation Evaluation with DNN-HMM System Considering HMM Transition Probabilities. INTERSPEECH 2019: 954-958 - [c16]Atreyee Saha, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
Low Resource Automatic Intonation Classification Using Gated Recurrent Unit (GRU) Networks Pre-Trained with Synthesized Pitch Patterns. INTERSPEECH 2019: 959-963 - [c15]Chiranjeevi Yarra, Aparna Srinivasan, Sravani Gottimukkala, Prasanta Kumar Ghosh:
SPIRE-fluent: A Self-Learning App for Tutoring Oral Fluency to Second Language English Learners. INTERSPEECH 2019: 968-969 - [c14]Chiranjeevi Yarra, Ritu Aggarwal, Avni Rajpal, Prasanta Kumar Ghosh:
Indic TIMIT and Indic English lexicon: A speech database of Indian speakers using TIMIT stimuli and a lexicon from their mispronunciations. O-COCOSDA 2019: 1-6 - [c13]Chiranjeevi Yarra, Aparna Srinivasan, Chandana Srinivasa, Ritu Aggarwal, Prasanta Kumar Ghosh:
voisTUTOR corpus: A speech corpus of Indian L2 English learners for pronunciation assessment. O-COCOSDA 2019: 1-6 - [c12]Aparna Srinivasan, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
Automatic assessment of pronunciation and its dependent factors by exploring their interdependencies using DNN and LSTM. SLaTE 2019: 30-34 - [c11]Chiranjeevi Yarra, Prasanta Kumar Ghosh:
voisTUTOR: Virtual Operator for Interactive Spoken English TUTORing. SLaTE 2019: 35-36 - [c10]Sweekar Sudhakara, Manoj Kumar Ramanathi, Chiranjeevi Yarra, Anurag Das, Prasanta Kumar Ghosh:
Noise robust goodness of pronunciation measures using teacher's utterance. SLaTE 2019: 69-73 - [c9]Chiranjeevi Yarra, Manoj Kumar Ramanathi, Prasanta Kumar Ghosh:
Comparison of automatic syllable stress detection quality with time-aligned boundaries and context dependencies. SLaTE 2019: 79-83 - 2018
- [c8]Urvish Desai, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
Concatenative Articulatory Video Synthesis Using Real-Time MRI Data for Spoken Language Training. ICASSP 2018: 4999-5003 - [c7]Anand P. A, Chiranjeevi Yarra, N. K. Kausthubha, Prasanta Kumar Ghosh:
Intonation tutor by SPIRE (In-SPIRE): An Online Tool for an Automatic Feedback to the Second Language Learners in Learning Intonation. INTERSPEECH 2018: 546-547 - [c6]Chiranjeevi Yarra, Anand P. A, N. K. Kausthubha, Prasanta Kumar Ghosh:
SPIRE-SST: An Automatic Web-based Self-learning Tool for Syllable Stress Tutoring (SST) to the Second Language Learners. INTERSPEECH 2018: 2390-2391 - [c5]Chandana Srinivasan, Chiranjeevi Yarra, Ritu Aggarwal, Sanjeev Kumar Mittal, N. K. Kausthubha, Raseena K. T, Astha Singh, Prasanta Kumar Ghosh:
Automatic Visual Augmentation for Concatenation Based Synthesized Articulatory Videos from Real-time MRI Data for Spoken Language Training. INTERSPEECH 2018: 3127-3131 - 2017
- [c4]Chiranjeevi Yarra, Om D. Deshmukh, Prasanta Kumar Ghosh:
Automatic detection of syllable stress using sonority based prominence features for pronunciation evaluation. ICASSP 2017: 5845-5849 - [c3]Srinivasa Raghavan K. M., Nisha Meenakshi, Sanjeev Kumar Mittal, Chiranjeevi Yarra, Anupam Mandal, K. R. Prasanna Kumar, Prasanta Kumar Ghosh:
A comparative study on the effect of different codecs on speech recognition accuracy using various acoustic modeling techniques. NCC 2017: 1-6 - 2016
- [j1]Chiranjeevi Yarra, Om D. Deshmukh, Prasanta Kumar Ghosh:
A mode-shape classification technique for robust speech rate estimation and syllable nuclei detection. Speech Commun. 78: 62-71 (2016) - [c2]Supriya Nagesh, Chiranjeevi Yarra, Om Deshmukh, Prasanta Kumar Ghosh:
A robust speech rate estimation based on the activation profile from the selected acoustic unit dictionary. ICASSP 2016: 5400-5404 - 2014
- [c1]Nisha Meenakshi, Chiranjeevi Yarra, B. K. Yamini, Prasanta Kumar Ghosh:
Comparison of speech quality with and without sensors in electromagnetic articulograph AG 501 recording. INTERSPEECH 2014: 935-939
Coauthor Index
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last updated on 2024-10-16 21:21 CEST by the dblp team
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