Comparison of speech quality with and without sensors in electromagnetic articulograph AG 501 recording. - Nisha Meenakshi; Chiranjeevi Yarra; B. K. Yamini 001; Prasanta Kumar Ghosh (INTERSPEECH, 2014)

A robust speech rate estimation based on the activation profile from the selected acoustic unit dictionary. - Supriya Nagesh; Chiranjeevi Yarra; Om Deshmukh; Prasanta Kumar Ghosh (ICASSP, 2016)

A mode-shape classification technique for robust speech rate estimation and syllable nuclei detection. - Chiranjeevi Yarra; Om D. Deshmukh; Prasanta Kumar Ghosh (Speech Commun., 2016)

Automatic detection of syllable stress using sonority based prominence features for pronunciation evaluation. - Chiranjeevi Yarra; Om D. Deshmukh; Prasanta Kumar Ghosh (ICASSP, 2017)

A comparative study on the effect of different codecs on speech recognition accuracy using various acoustic modeling techniques. - Srinivasa Raghavan K. M.; Nisha Meenakshi; Sanjeev Kumar Mittal; Chiranjeevi Yarra; Anupam Mandal; K. R. Prasanna Kumar; Prasanta Kumar Ghosh (NCC, 2017)

Concatenative Articulatory Video Synthesis Using Real-Time MRI Data for Spoken Language Training. - Urvish Desai; Chiranjeevi Yarra; Prasanta Kumar Ghosh (ICASSP, 2018)

Intonation tutor by SPIRE (In-SPIRE): An Online Tool for an Automatic Feedback to the Second Language Learners in Learning Intonation. - Anand P. A; Chiranjeevi Yarra; N. K. Kausthubha; Prasanta Kumar Ghosh (INTERSPEECH, 2018)

Automatic Visual Augmentation for Concatenation Based Synthesized Articulatory Videos from Real-time MRI Data for Spoken Language Training. - Chandana Srinivasan; Chiranjeevi Yarra; Ritu Aggarwal; Sanjeev Kumar Mittal; N. K. Kausthubha; Raseena K. T; Astha Singh; Prasanta Kumar Ghosh (INTERSPEECH, 2018)

SPIRE-SST: An Automatic Web-based Self-learning Tool for Syllable Stress Tutoring (SST) to the Second Language Learners. - Chiranjeevi Yarra; Anand P. A; N. K. Kausthubha; Prasanta Kumar Ghosh (INTERSPEECH, 2018)

ASR Inspired Syllable Stress Detection for Pronunciation Evaluation Without Using a Supervised Classifier and Syllable Level Features. - Manoj Kumar Ramanathi; Chiranjeevi Yarra; Prasanta Kumar Ghosh (INTERSPEECH, 2019)

Low Resource Automatic Intonation Classification Using Gated Recurrent Unit (GRU) Networks Pre-Trained with Synthesized Pitch Patterns. - Atreyee Saha; Chiranjeevi Yarra; Prasanta Kumar Ghosh (INTERSPEECH, 2019)

An Improved Goodness of Pronunciation (GoP) Measure for Pronunciation Evaluation with DNN-HMM System Considering HMM Transition Probabilities. - Sweekar Sudhakara; Manoj Kumar Ramanathi; Chiranjeevi Yarra; Prasanta Kumar Ghosh (INTERSPEECH, 2019)

SPIRE-fluent: A Self-Learning App for Tutoring Oral Fluency to Second Language English Learners. - Chiranjeevi Yarra; Aparna Srinivasan; Sravani Gottimukkala; Prasanta Kumar Ghosh (INTERSPEECH, 2019)

Indic TIMIT and Indic English lexicon: A speech database of Indian speakers using TIMIT stimuli and a lexicon from their mispronunciations. - Chiranjeevi Yarra; Ritu Aggarwal; Avni Rajpal; Prasanta Kumar Ghosh (O-COCOSDA, 2019)

voisTUTOR corpus: A speech corpus of Indian L2 English learners for pronunciation assessment. - Chiranjeevi Yarra; Aparna Srinivasan; Chandana Srinivasa; Ritu Aggarwal; Prasanta Kumar Ghosh (O-COCOSDA, 2019)

Automatic assessment of pronunciation and its dependent factors by exploring their interdependencies using DNN and LSTM. - Aparna Srinivasan; Chiranjeevi Yarra; Prasanta Kumar Ghosh (SLaTE, 2019)

Noise robust goodness of pronunciation measures using teacher's utterance. - Sweekar Sudhakara; Manoj Kumar Ramanathi; Chiranjeevi Yarra; Anurag Das; Prasanta Kumar Ghosh (SLaTE, 2019)

voisTUTOR: Virtual Operator for Interactive Spoken English TUTORing. - Chiranjeevi Yarra; Prasanta Kumar Ghosh (SLaTE, 2019)

Comparison of automatic syllable stress detection quality with time-aligned boundaries and context dependencies. - Chiranjeevi Yarra; Manoj Kumar Ramanathi; Prasanta Kumar Ghosh (SLaTE, 2019)

Pseudo Likelihood Correction Technique for Low Resource Accented ASR. - Avni Rajpal; M. V. Achuth Rao; Chiranjeevi Yarra; Ritu Aggarwal; Prasanta Kumar Ghosh (ICASSP, 2020)

IE-CPS Lexicon: An Automatic Speech Recognition Oriented Indian-English Pronunciation Dictionary. - Shelly Jain; Aditya Yadavalli; Ganesh Mirishkar; Chiranjeevi Yarra; Anil Kumar Vuppala (ICON, 2021)

MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. - 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; et al. (Interspeech, 2021)

Noise Robust Pitch Stylization Using Minimum Mean Absolute Error Criterion. - Chiranjeevi Yarra; Prasanta Kumar Ghosh (Interspeech, 2021)

A Study on Native American English Speech Recognition by Indian Listeners with Varying Word Familiarity Level. - Abhayjeet Singh; Achuth Rao MV; Rakesh Vaideeswaran; Chiranjeevi Yarra; Prasanta Kumar Ghosh (O-COCOSDA, 2021)

Multilingual and code-switching ASR challenges for low resource Indian languages. - 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; et al. (CoRR, 2021)

A Robust Speaking Rate Estimator Using a CNN-BLSTM Network. - Aparna Srinivasan; Diviya Singh; Chiranjeevi Yarra; Aravind Illa; Prasanta Kumar Ghosh (Circuits Syst. Signal Process., 2021)

mulEEG: A Multi-view Representation Learning on EEG Signals. - Vamsi Kumar; Likith Reddy; Shivam Kumar Sharma; Kamalaker Dadi; Chiranjeevi Yarra; Raju S. Bapi; Srijithesh Rajendran (MICCAI (3), 2022)

Voistutor 2.0: A Speech Corpus with Phonetic Transcription for Pronunciation Evaluation of Indian L2 English Learners. - Priyanshi Pal; Chiranjeevi Yarra; Prasanta Kumar Ghosh (O-COCOSDA 2022, 2022)

mulEEG: A Multi-View Representation Learning on EEG Signals. - Vamsi Kumar; Likith Reddy; Shivam Kumar Sharma; Kamalakar Dadi; Chiranjeevi Yarra; Raju S. Bapi; Srijithesh Rajendran (CoRR, 2022)

Study of Indian English Pronunciation Variabilities relative to Received Pronunciation. - Priyanshi Pal; Shelly Jain; Anil Vuppala; Chiranjeevi Yarra; Prasanta Kumar Ghosh (CoRR, 2022)

Automatic syllable stress detection under non-parallel label and data condition. - Chiranjeevi Yarra; Prasanta Kumar Ghosh (Speech Commun., 2022)

An Investigation of Indian Native Language Phonemic Influences on L2 English Pronunciations. - Shelly Jain; Priyanshi Pal; Anil Kumar Vuppala; Prasanta Kumar Ghosh; Chiranjeevi Yarra (INTERSPEECH, 2023)

IIITH MM2 Speech-Text: A preliminary data for automatic spoken data validation with matched and mismatched speech-text content. - Nayan Anand; Meenakshi Sirigiraju; Chiranjeevi Yarra (O-COCOSDA, 2023)

Can the decoded text from automatic speech recognition effectively detect spoken grammar errors? - Chowdam Venkata Thirumala Kumar; Meenakshi Sirigiraju; Rakesh Vaideeswaran; Prasanta Kumar Ghosh; Chiranjeevi Yarra (SLaTE, 2023)

A Comparison of Learned Representations with Jointly Optimized VAE and DNN for Syllable Stress Detection. - Jhansi Mallela; Prasanth Sai Boyina; Chiranjeevi Yarra (SPECOM (2), 2023)

Study of Indian English Pronunciation Variabilities Relative to Received Pronunciation. - Priyanshi Pal; Shelly Jain; Chiranjeevi Yarra; Prasanta Kumar Ghosh; Anil Kumar Vupalla (SPECOM (1), 2023)

Analysis of Natural Language Understanding Systems with L2 Learner Specific Synthetic Grammatical Errors Based on Parts-of-Speech. - Snehal Ranjan; Sai Kalyan Nanduri; Prakul Virdi; Chiranjeevi Yarra (SPECOM (1), 2023)

Unsupervised speech intelligibility assessment with utterance level alignment distance between teacher and learner Wav2Vec-2.0 representations. - Nayan Anand; Meenakshi Sirigiraju; Chiranjeevi Yarra (CoRR, 2023)

Post-Net: A linguistically inspired sequence-dependent transformed neural architecture for automatic syllable stress detection. - Sai Harshitha Aluru; Jhansi Mallela; Chiranjeevi Yarra (INTERSPEECH, 2024)

A comparative analysis of sequential models that integrate syllable dependency for automatic syllable stress detection. - Jhansi Mallela; Sai Harshitha Aluru; Chiranjeevi Yarra (INTERSPEECH, 2024)

IIITH Ucchar e-Sudharak: an automatic English pronunciation corrector for school-going children with a teacher in the loop. - Meenakshi Sirigiraju; Arjun Rajasekar; Abhishikth Meejuri; Chiranjeevi Yarra (INTERSPEECH, 2024)

Exploring the Use of Self-Supervised Representations for Automatic Syllable Stress Detection. - Jhansi Mallela; Sai Harshitha Aluru; Chiranjeevi Yarra (NCC, 2024)

InStant-EMDB: A Multi Model Spontaneous English and Malayalam Speech Corpora for Depression Detection. - Anjali Mathew; Raniya; Harsha Sanjan; Amjith S. B; Reni K. Cherian; Starlet Ben Alex; Priyanka Srivastava; Chiranjeevi Yarra (O-COCOSDA, 2024)

IIIT-Speech Twins 1.0: An English-Hindi Parallel Speech Corpora for Speech-to-Speech Machine Translation and Automatic Dubbing. - Anindita Mondal; Anil Kumar Vuppala; Chiranjeevi Yarra (O-COCOSDA, 2024)

IIITSaint-EmoMDB: Carefully Curated Malayalam Speech Corpus with Emotion and Self-Reported Depression Ratings. - Christa Thomas; Guneesh Vats; Aravind Johnson; Ashin George; Talit Sara George; Reni K. Cherian; Priyanka Srivastava; Chiranjeevi Yarra (O-COCOSDA, 2024)

Language-Agnostic Analysis of Speech Depression Detection. - Sona Binu; Jismi Jose; Fathima Shimna K. V; Alino Luke Hans; Reni K. Cherian; Starlet Ben Alex; Priyanka Srivastava; Chiranjeevi Yarra (CoRR, 2024)

Decoding Emotion: Speech Perception Patterns in Individuals with Self-reported Depression. - Guneesh Vats; Priyanka Srivastava; Chiranjeevi Yarra (CoRR, 2024)

Post-Net2.0: An adaptive weighted loss function driven by linguistic constraint for automatic syllable stress detection. - Sai Harshitha Aluru; Jhansi Mallela; Chiranjeevi Yarra (ICASSP, 2025)

Evaluating the Impact of Discriminative and Generative E2E Speech Enhancement Models on Syllable Stress Preservation. - Rangavajjala Sankara Bharadwaj; Jhansi Mallela; Sai Harshitha Aluru; Chiranjeevi Yarra (ICASSP, 2025)

A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech with Text-to-Speech Prosody Embeddings. - Anindita Mondal; Rangavajjala Sankara Bharadwaj; Jhansi Mallela; Anil Kumar Vuppala; Chiranjeevi Yarra (NCC, 2025)