Significance of Paralinguistic Cues in the Synthesis of Mathematical Equations. - Venkatesh Potluri; Sai Krishna Rallabandi; Priyanka Srivastava; Kishore Prahallad (ICON, 2014)

Learning continuous representation of text for phone duration modeling in statistical parametric speech synthesis. - Sai Krishna Rallabandi; Sai Sirisha Rallabandi; Padmini Bandi; Suryakanth V. Gangashetty (ASRU, 2015)

The Blizzard Challenge 2015. - Kishore Prahallad; Anandaswarup Vadapalli; Sai Krishna Rallabandi; Santosh Kesiraju; Hema A. Murthy; T. Nagarajan 001; Bira Chandra Singh; T. Sajani; K. Sreenivasa Rao; Suryakanth V. Gangashetty; Simon King 001; Keiichi Tokuda; et al. (Blizzard Challenge, 2015)

IIIT Hyderabad's submission to the Blizzard Challenge 2015. - Sai Krishna Rallabandi; Anandaswarup Vadapalli; Sivanand Achanta; Suryakanth V. Gangashetty (Blizzard Challenge, 2015)

Significance of Maximum Spectral Amplitude in Sub-bands for Spectral Envelope Estimation and Its Application to Statistical Parametric Speech Synthesis. - Sivanand Achanta; Anandaswarup Vadapalli; Sai Krishna R.; Suryakanth V. Gangashetty (CoRR, 2015)

IIIT Hyderabad's entry to Blizzard Challenge 2016. - Sai Sirisha Rallabandi; Sai Krishna Rallabandi; Suryakanth V. Gangashetty (Blizzard Challenge, 2016)

Investigating Signal Correlation as Continuity Metric in a Syllable Based Unit Selection Synthesis System. - Sai Sirisha Rallabandi; Sai Krishna Rallabandi; Naina Teertha; R. Kumaraswamy 001; Suryakanth V. Gangashetty (SPECOM, 2016)

Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text. - Sunayana Sitaram; Sai Krishna Rallabandi; Shruti Rijhwani; Alan W. Black (SSW, 2016)

Developing a unit selection voice given audio without corresponding text. - Tejas Godambe; Sai Krishna Rallabandi; Suryakanth V. Gangashetty; Ashraf Alkhairy; Afshan Jafri (EURASIP J. Audio Speech Music. Process., 2016)

The CMU entry to blizzard machine learning challenge. - Pallavi Baljekar; Sai Krishna Rallabandi; Alan W. Black (ASRU, 2017)

The CMU System for Blizzard Challenge 2017. - SaiKrishna Rallabandi; Pallavi Baljekar; Alan W. Black (Blizzard Challenge, 2017)

Speech Synthesis for Mixed-Language Navigation Instructions. - Khyathi Raghavi Chandu; Sai Krishna Rallabandi; Sunayana Sitaram; Alan W. Black (INTERSPEECH, 2017)

On Building Mixed Lingual Speech Synthesis Systems. - Sai Krishna Rallabandi; Alan W. Black (INTERSPEECH, 2017)

Automatic Detection of Code-switching Style from Acoustics. - Sai Krishna Rallabandi; Sunayana Sitaram; Alan W. Black (CodeSwitch@ACL, 2018)

Submission from CMU for Blizzard Challenge 2018. - SaiKrishna Rallabandi; Pallavi Baljekar; Peter Wu; Evangelia Spiliopoulou; Alan W. Black (Blizzard Challenge, 2018)

An Investigation of Convolution Attention Based Models for Multilingual Speech Synthesis of Indian Languages. - Pallavi Baljekar; Sai Krishna Rallabandi; Alan W. Black (INTERSPEECH, 2018)

Investigating Utterance Level Representations for Detecting Intent from Acoustics. - Sai Krishna Rallabandi; Bhavya Karki; Carla Viegas; Eric Nyberg; Alan W. Black (INTERSPEECH, 2018)

Submission from CMU for Blizzard Challenge 2019. - SaiKrishna Rallabandi; Peter Wu; Alan W. Black (Blizzard Challenge, 2019)

Learning Disentangled Representation in Latent Stochastic Models: A Case Study with Image Captioning. - Nidhi Vyas; Sai Krishna Rallabandi; Lalitesh Morishetti; Eduard H. Hovy; Alan W. Black (ICASSP, 2019)

Variational Attention Using Articulatory Priors for Generating Code Mixed Speech Using Monolingual Corpora. - Sai Krishna Rallabandi; Alan W. Black (INTERSPEECH, 2019)

Ordinal Triplet Loss: Investigating Sleepiness Detection from Speech. - Peter Wu; Sai Krishna Rallabandi; Alan W. Black; Eric Nyberg (INTERSPEECH, 2019)

A Survey of Code-switched Speech and Language Processing. - Sunayana Sitaram; Khyathi Raghavi Chandu; Sai Krishna Rallabandi; Alan W. Black (CoRR, 2019)

On Controlled DeEntanglement for Natural Language Processing. - Sai Krishna Rallabandi (CoRR, 2019)

Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data. - Nishant Gurunath; Sai Krishna Rallabandi; Alan W. Black (CoRR, 2019)

A Resource for Computational Experiments on Mapudungun. - Mingjun Duan; Carlos Fasola; Sai Krishna Rallabandi; Rodolfo Vega; Antonios Anastasopoulos; Lori S. Levin; Alan W. Black (LREC, 2020)

Mere account mein kitna balance hai? - On building voice enabled Banking Services for Multilingual Communities. - Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black (CoRR, 2020)

Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data. - Akshat Gupta; Sargam Menghani; Sai Krishna Rallabandi; Alan W. Black (CALCS@NAACL, 2021)

Intent Recognition and Unsupervised Slot Identification for Low-Resourced Spoken Dialog Systems. - Akshat Gupta; Olivia Deng; Akruti Kushwaha; Saloni Mittal; William Zeng; Sai Krishna Rallabandi; Alan W. Black (ASRU, 2021)

Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching. - Parul Chopra; Sai Krishna Rallabandi; Alan W. Black; Khyathi Raghavi Chandu (EMNLP (Findings), 2021)

Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages. - Akshat Gupta; Xinjian Li; Sai Krishna Rallabandi; Alan W. Black (ICASSP, 2021)

Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Data. - Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black (CoRR, 2021)

Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems. - Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black (CoRR, 2021)

Intent Classification Using Pre-Trained Embeddings For Low Resource Languages. - Hemant Yadav; Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black; Rajiv Ratn Shah (CoRR, 2021)

Intent classification using pre-trained language agnostic embeddings for low resource languages. - Hemant Yadav; Akshat Gupta; Sai Krishna Rallabandi; Alan W. Black; Rajiv Ratn Shah (INTERSPEECH, 2022)

Understanding BLOOM: An empirical study on diverse NLP tasks. - Parag Pravin Dakle; SaiKrishna Rallabandi; Preethi Raghavan (CoRR, 2022)

HeySQuAD: A Spoken Question Answering Dataset. - Yijing Wu; SaiKrishna Rallabandi; Ravisutha Srinivasamurthy; Parag Pravin Dakle; Alolika Gon; Preethi Raghavan (CoRR, 2023)

An Empirical Study on Instance Selection Strategies in Self-training for Sentiment Analysis. - Haochen Liu; SaiKrishna Rallabandi; Yijing Wu; Parag Pravin Dakle; Preethi Raghavan (CoRR, 2023)

Towards leveraging LLMs for Conditional QA. - Syed-Amad Hussain; Parag Pravin Dakle; SaiKrishna Rallabandi; Preethi Raghavan (CoRR, 2023)

De-Entanglement: A Framework towards building Ubiquitous speech technologies - Sai Krishna Rallabandi (2023)

Self-training Strategies for Sentiment Analysis: An Empirical Study. - Haochen Liu; SaiKrishna Rallabandi; Yijing Wu; Parag Dakle; Preethi Raghavan (EACL (Findings), 2024)

Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article using Transformer-based Models. - Parag Pravin Dakle; Alolika Gon; Sihan Zha; Liang Wang; SaiKrishna Rallabandi; Preethi Raghavan (CoRR, 2024)

Ner4Opt: named entity recognition for optimization modelling from natural language. - Serdar Kadioglu; Parag Pravin Dakle; Karthik Uppuluri; Regina Politi; Preethi Raghavan; SaiKrishna Rallabandi; Ravisutha Srinivasamurthy (Constraints An Int. J., 2024)

Investigating the effectiveness of length based rewards in DPO for building Conversational Financial Question Answering Systems. - Anushka Yadav; Sai Krishna Rallabandi; Parag Pravin Dakle; Preethi Raghavan (COLING Workshops, 2025)