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2020 – today
- 2024
[c57]Divyanshu Aggarwal, Ashutosh Sathe, Ishaan Watts, Sunayana Sitaram:
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. ACL (Findings) 2024: 14824-14867- [c56]Agrima Seth, Sanchit Ahuja, Kalika Bali, Sunayana Sitaram:
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures. LREC/COLING 2024: 5323-5337 - [c55]Prachi Jain, Ashutosh Sathe, Varun Gumma, Kabir Ahuja, Sunayana Sitaram:
MAFIA: Multi-Adapter Fused Inclusive Language Models. EACL (1) 2024: 627-645 - [c54]Rishav Hada, Varun Gumma, Adrian de Wynter, Harshita Diddee, Mohamed Ahmed, Monojit Choudhury, Kalika Bali, Sunayana Sitaram:
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation? EACL (Findings) 2024: 1051-1070 - [c53]Ashutosh Sathe, Prachi Jain, Sunayana Sitaram:
A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models. EMNLP (Findings) 2024: 1208-1249 - [c52]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov:
Teaching LLMs to Abstain across Languages via Multilingual Feedback. EMNLP 2024: 4125-4150 - [c51]Florian Schneider, Sunayana Sitaram:
M5 - A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks. EMNLP (Findings) 2024: 4309-4345 - [c50]Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram:
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data. EMNLP 2024: 7900-7932 - [c49]Sagnik Mukherjee, Muhammad Farid Adilazuarda, Sunayana Sitaram, Kalika Bali, Alham Fikri Aji, Monojit Choudhury:
Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting. EMNLP 2024: 15811-15837 - [c48]Rishav Hada, Varun Gumma, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram:
METAL: Towards Multilingual Meta-Evaluation. NAACL-HLT (Findings) 2024: 2280-2298 - [c47]Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe, Millicent Ochieng, Rishav Hada, Prachi Jain, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram:
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks. NAACL-HLT 2024: 2598-2637 - [i50]Divyanshu Aggarwal, Ashutosh Sathe, Sunayana Sitaram:
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models. CoRR abs/2401.07598 (2024) - [i49]Prachi Jain, Ashutosh Sathe, Varun Gumma, Kabir Ahuja, Sunayana Sitaram:
MAFIA: Multi-Adapter Fused Inclusive LanguAge Models. CoRR abs/2402.07519 (2024) - [i48]Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, Xing Xie:
CultureLLM: Incorporating Cultural Differences into Large Language Models. CoRR abs/2402.10946 (2024) - [i47]Ashutosh Sathe, Prachi Jain, Sunayana Sitaram:
A Unified Framework and Dataset for Assessing Gender Bias in Vision-Language Models. CoRR abs/2402.13636 (2024) - [i46]Nishanth Chandran, Sunayana Sitaram, Divya Gupta, Rahul Sharma, Kashish Mittal, Manohar Swaminathan:
Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs. CoRR abs/2403.00393 (2024) - [i45]Agrima Seth, Sanchit Ahuja, Kalika Bali, Sunayana Sitaram:
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures. CoRR abs/2403.14651 (2024) - [i44]Rishav Hada, Varun Gumma, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram:
METAL: Towards Multilingual Meta-Evaluation. CoRR abs/2404.01667 (2024) - [i43]Somnath Kumar, Vaibhav Balloli, Mercy Ranjit
, Kabir Ahuja, Tanuja Ganu, Sunayana Sitaram, Kalika Bali, Akshay Nambi:
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs. CoRR abs/2405.18359 (2024) - [i42]Millicent Ochieng, Varun Gumma, Sunayana Sitaram, Jindong Wang, Vishrav Chaudhary, Keshet Ronen, Kalika Bali, Jacki O'Neill:
Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios. CoRR abs/2406.00343 (2024) - [i41]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
MS-HuBERT: Mitigating Pre-training and Inference Mismatch in Masked Language Modelling methods for learning Speech Representations. CoRR abs/2406.05661 (2024) - [i40]Sagnik Mukherjee, Muhammad Farid Adilazuarda, Sunayana Sitaram, Kalika Bali, Alham Fikri Aji, Monojit Choudhury:
Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting. CoRR abs/2406.11661 (2024) - [i39]Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram:
PARIKSHA : A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data. CoRR abs/2406.15053 (2024) - [i38]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov:
Teaching LLMs to Abstain across Languages via Multilingual Feedback. CoRR abs/2406.15948 (2024) - [i37]Ashutosh Sathe, Divyanshu Aggarwal, Sunayana Sitaram:
Improving Self Consistency in LLMs through Probabilistic Tokenization. CoRR abs/2407.03678 (2024) - [i36]Florian Schneider, Sunayana Sitaram:
M5 - A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks. CoRR abs/2407.03791 (2024) - [i35]Sanchit Ahuja, Kumar Tanmay, Hardik Hansrajbhai Chauhan, Barun Patra, Kriti Aggarwal, Luciano Del Corro, Arindam Mitra, Tejas Indulal Dhamecha, Ahmed Awadallah, Monojit Choudhary, Vishrav Chaudhary, Sunayana Sitaram:
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting. CoRR abs/2407.09879 (2024) - [i34]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
Speech Representation Learning Revisited: The Necessity of Separate Learnable Parameters and Robust Data Augmentation. CoRR abs/2408.10557 (2024) - [i33]Hemant Yadav, Rajiv Ratn Shah, Sunayana Sitaram:
JOOCI: a Framework for Learning Comprehensive Speech Representations. CoRR abs/2410.11086 (2024) - [i32]Varun Gumma, Anandhita Raghunath, Mohit Jain, Sunayana Sitaram:
HEALTH-PARIKSHA: Assessing RAG Models for Health Chatbots in Real-World Multilingual Settings. CoRR abs/2410.13671 (2024) - [i31]Divyanshu Aggarwal, Sankarshan Damle, Navin Goyal, Satya Lokam, Sunayana Sitaram:
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model. CoRR abs/2410.16006 (2024) - [i30]Divyanshu Aggarwal, Ashutosh Sathe, Sunayana Sitaram:
Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models. CoRR abs/2410.16168 (2024) - [i29]Sanchit Ahuja, Varun Gumma, Sunayana Sitaram:
Contamination Report for Multilingual Benchmarks. CoRR abs/2410.16186 (2024) - 2023
- [c46]Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram:
On Evaluating and Mitigating Gender Biases in Multilingual Settings. ACL (Findings) 2023: 307-318 - [c45]Krithika Ramesh, Arnav Chavan, Shrey Pandit, Sunayana Sitaram:
A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models. ACL (1) 2023: 15762-15782 - [c44]Sunayana Sitaram, Monojit Choudhury, Barun Patra, Vishrav Chaudhary, Kabir Ahuja, Kalika Bali:
Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world. ACL (tutorial) 2023: 21-26 - [c43]Hemant Yadav, Erica Cooper, Junichi Yamagishi, Sunayana Sitaram, Rajiv Ratn Shah:
Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-Supervised Setting. ASRU 2023: 1-7 - [c42]Shanu Kumar, Abbaraju Soujanya, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer. EACL 2023: 385-406 - [c41]Krithika Ramesh, Sunayana Sitaram, Monojit Choudhury:
Fairness in Language Models Beyond English: Gaps and Challenges. EACL (Findings) 2023: 2061-2074 - [c40]Aniket Vashishtha, S. Sai Prasad, Payal Bajaj, Vishrav Chaudhary, Kate Cook, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
Performance and Risk Trade-offs for Multi-word Text Prediction at Scale. EACL (Findings) 2023: 2181-2197 - [c39]Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh, Prachi Jain, Akshay Uttama Nambi, Tanuja Ganu, Sameer Segal, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram:
MEGA: Multilingual Evaluation of Generative AI. EMNLP 2023: 4232-4267 - [c38]A. Seza Dogruöz, Sunayana Sitaram, Zheng Xin Yong:
Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation. EMNLP (Findings) 2023: 5751-5767 - [c37]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
Analysing the Masked Predictive Coding Training Criterion for Pre-Training a Speech Representation Model. ICASSP 2023: 1-5 - [e3]Sunayana Sitaram, Beata Beigman Klebanov, Jason D. Williams:
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-68-5 [contents] - [i28]A. Seza Dogruöz, Sunayana Sitaram, Barbara E. Bullock, Almeida Jacqueline Toribio:
A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies. CoRR abs/2301.01967 (2023) - [i27]Krithika Ramesh, Sunayana Sitaram, Monojit Choudhury:
Fairness in Language Models Beyond English: Gaps and Challenges. CoRR abs/2302.12578 (2023) - [i26]Shanu Kumar, Abbaraju Soujanya, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer. CoRR abs/2303.02357 (2023) - [i25]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
Analysing the Masked predictive coding training criterion for pre-training a Speech Representation Model. CoRR abs/2303.06982 (2023) - [i24]Kabir Ahuja, Rishav Hada, Millicent Ochieng, Prachi Jain, Harshita Diddee, Samuel Maina, Tanuja Ganu, Sameer Segal, Maxamed Axmed, Kalika Bali, Sunayana Sitaram:
MEGA: Multilingual Evaluation of Generative AI. CoRR abs/2303.12528 (2023) - [i23]Akshay Uttama Nambi, Vaibhav Balloli, Mercy Prasanna Ranjit, Tanuja Ganu, Kabir Ahuja, Sunayana Sitaram, Kalika Bali:
Breaking Language Barriers with a LEAP: Learning Strategies for Polyglot LLMs. CoRR abs/2305.17740 (2023) - [i22]Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram:
On Evaluating and Mitigating Gender Biases in Multilingual Settings. CoRR abs/2307.01503 (2023) - [i21]Rishav Hada, Varun Gumma, Adrian de Wynter, Harshita Diddee, Mohamed Ahmed, Monojit Choudhury, Kalika Bali, Sunayana Sitaram:
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation? CoRR abs/2309.07462 (2023) - [i20]Hemant Yadav, Erica Cooper, Junichi Yamagishi, Sunayana Sitaram, Rajiv Ratn Shah:
Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-supervised setting. CoRR abs/2310.05078 (2023) - [i19]A. Seza Dogruöz, Sunayana Sitaram, Zheng Xin Yong:
Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation. CoRR abs/2310.20470 (2023) - [i18]Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe, Millicent Ochieng, Rishav Hada, Prachi Jain, Maxamed Axmed, Kalika Bali, Sunayana Sitaram:
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks. CoRR abs/2311.07463 (2023) - 2022
- [c36]Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat, Sunayana Sitaram, Balakrishnan Santhanam, Somak Aditya, Kalika Bali, Monojit Choudhury:
LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems. AAAI 2022: 13227-13229 - [c35]Kabir Ahuja, Sunayana Sitaram, Sandipan Dandapat, Monojit Choudhury:
On the Calibration of Massively Multilingual Language Models. EMNLP 2022: 4310-4323 - [c34]Karthikeyan K, Shaily Bhatt, Pankaj Singh, Somak Aditya, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
Multilingual CheckList: Generation and Evaluation. AACL/IJCNLP (Findings) 2022: 282-295 - [c33]Hemant Yadav, Sunayana Sitaram:
A Survey of Multilingual Models for Automatic Speech Recognition. LREC 2022: 5071-5079 - [c32]Injy Hamed, Amir Hussein, Oumnia Chellah, Shammur Absar Chowdhury, Hamdy Mubarak, Sunayana Sitaram, Nizar Habash, Ahmed Ali:
Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition. SLT 2022: 999-1005 - [i17]Hemant Yadav, Sunayana Sitaram:
A Survey of Multilingual Models for Automatic Speech Recognition. CoRR abs/2202.12576 (2022) - [i16]Karthikeyan K, Shaily Bhatt, Pankaj Singh, Somak Aditya, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
Multilingual CheckList: Generation and Evaluation. CoRR abs/2203.12865 (2022) - [i15]Kabir Ahuja, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages. CoRR abs/2205.06356 (2022) - [i14]Kabir Ahuja, Sunayana Sitaram, Sandipan Dandapat, Monojit Choudhury:
On the Calibration of Massively Multilingual Language Models. CoRR abs/2210.12265 (2022) - [i13]Injy Hamed, Amir Hussein, Oumnia Chellah, Shammur Absar Chowdhury, Hamdy Mubarak, Sunayana Sitaram, Nizar Habash, Ahmed Ali:
Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition. CoRR abs/2211.16319 (2022) - 2021
- [c31]A. Seza Dogruöz, Sunayana Sitaram, Barbara E. Bullock, Almeida Jacqueline Toribio:
A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies. ACL/IJCNLP (1) 2021: 1654-1666 - [c30]Mohd Sanad Zaki Rizvi, Anirudh Srinivasan, Tanuja Ganu, Monojit Choudhury, Sunayana Sitaram:
GCM: A Toolkit for Generating Synthetic Code-mixed Text. EACL (System Demonstrations) 2021: 205-211 - [c29]Shaily Bhatt, Poonam Goyal, Sandipan Dandapat, Monojit Choudhury, Sunayana Sitaram:
On the Universality of Deep Contextual Language Models. ICON 2021: 106-119 - [c28]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 - [e2]Thamar Solorio, Shuguang Chen, Alan W. Black, Mona T. Diab, Sunayana Sitaram, Victor Soto, Emre Yilmaz, Anirudh Srinivasan:
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching, CALCS@NAACL 2021, Online, June 11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-45-9 [contents] - [i12]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) - [i11]Shaily Bhatt, Poonam Goyal, Sandipan Dandapat, Monojit Choudhury, Sunayana Sitaram:
On the Universality of Deep COntextual Language Models. CoRR abs/2109.07140 (2021) - [i10]Anirudh Srinivasan, Sunayana Sitaram, Tanuja Ganu, Sandipan Dandapat, Kalika Bali, Monojit Choudhury:
Predicting the Performance of Multilingual NLP Models. CoRR abs/2110.08875 (2021) - 2020
- [c27]Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, Sunayana Sitaram, Monojit Choudhury:
GLUECoS: An Evaluation Benchmark for Code-Switched NLP. ACL 2020: 3575-3585 - [c26]Simran Khanuja, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
A New Dataset for Natural Language Inference from Code-mixed Conversations. CodeSwitch@LREC 2020: 9-16 - [c25]Basil Abraham, Danish Goel, Divya Siddarth, Kalika Bali, Manu Chopra, Monojit Choudhury, Pratik Joshi, Preethi Jyothi, Sunayana Sitaram, Vivek Seshadri:
Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers. LREC 2020: 2819-2826 - [e1]Thamar Solorio, Monojit Choudhury, Kalika Bali, Sunayana Sitaram, Amitava Das, Mona T. Diab:
Proceedings of the The 4th Workshop on Computational Approaches to Code Switching, CodeSwitch@LREC 2020, Marseille, France, May, 2020. European Language Resources Association 2020, ISBN 979-10-95546-66-5 [contents] - [i9]Simran Khanuja, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
A New Dataset for Natural Language Inference from Code-mixed Conversations. CoRR abs/2004.05051 (2020) - [i8]Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, Sunayana Sitaram, Monojit Choudhury:
GLUECoS : An Evaluation Benchmark for Code-Switched NLP. CoRR abs/2004.12376 (2020) - [i7]Sanket Shah, Basil Abraham, Gurunath Reddy M, Sunayana Sitaram, Vikas Joshi:
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition. CoRR abs/2006.00782 (2020) - [i6]Gurunath Reddy Madhumani, Sanket Shah, Basil Abraham, Vikas Joshi, Sunayana Sitaram:
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition. CoRR abs/2006.05257 (2020) - [i5]Sanket Shah, Satarupa Guha, Simran Khanuja, Sunayana Sitaram:
Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages. CoRR abs/2011.06226 (2020)
2010 – 2019
- 2019
- [c24]Sanket Shah, Sunayana Sitaram:
Using Monolingual Speech Recognition for Spoken Term Detection in Code-switched Hindi-English Speech. ICDM Workshops 2019: 1-5 - [i4]Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Alan W. Black:
A Survey of Code-switched Speech and Language Processing. CoRR abs/1904.00784 (2019) - [i3]Brij Mohan Lal Srivastava, Basil Abraham, Sunayana Sitaram, Rupesh K. Mehta, Preethi Jyothi:
End-to-End ASR for Code-switched Hindi-English Speech. CoRR abs/1906.09426 (2019) - [i2]Pratik Joshi, Christain Barnes, Sebastin Santy, Simran Khanuja, Sanket Shah, Anirudh Srinivasan, Satwik Bhattamishra, Sunayana Sitaram, Monojit Choudhury, Kalika Bali:
Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities. CoRR abs/1912.03457 (2019) - 2018
- [c23]Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, Sunayana Sitaram, Sandipan Dandapat, Kalika Bali:
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data. ACL (1) 2018: 1543-1553 - [c22]Sunit Sivasankaran, Brij Mohan Lal Srivastava, Sunayana Sitaram, Kalika Bali, Monojit Choudhury:
Phone Merging For Code-Switched Speech Recognition. CodeSwitch@ACL 2018: 11-19 - [c21]Sai Krishna Rallabandi, Sunayana Sitaram, Alan W. Black:
Automatic Detection of Code-switching Style from Acoustics. CodeSwitch@ACL 2018: 76-81 - [c20]Adithya Pratapa, Monojit Choudhury, Sunayana Sitaram:
Word Embeddings for Code-Mixed Language Processing. EMNLP 2018: 3067-3072 - [c19]Savitha Murthy, Dinkar Sitaram, Sunayana Sitaram:
Effect of TTS Generated Audio on OOV Detection and Word Error Rate in ASR for Low-resource Languages. INTERSPEECH 2018: 1026-1030 - [c18]Brij Mohan Lal Srivastava, Sunayana Sitaram:
Homophone Identification and Merging for Code-switched Speech Recognition. INTERSPEECH 2018: 1943-1947 - [c17]Sunayana Sitaram, Varun Manjunath, Varun Bharadwaj, Monojit Choudhury, Kalika Bali, Michael Tjalve:
Discovering Canonical Indian English Accents: A Crowdsourcing-based Approach. LREC 2018 - [c16]Brij Mohan Lal Srivastava, Sunayana Sitaram, Rupesh Kumar Mehta, Krishna Doss Mohan, Pallavi Matani, Sandeepkumar Satpal, Kalika Bali, Radhakrishnan Srikanth, Niranjan Nayak:
Interspeech 2018 Low Resource Automatic Speech Recognition Challenge for Indian Languages. SLTU 2018: 11-14 - 2017
- [c15]Monojit Choudhury, Kalika Bali, Sunayana Sitaram, Ashutosh Baheti:
Curriculum Design for Code-switching: Experiments with Language Identification and Language Modeling with Deep Neural Networks. ICON 2017: 65-74 - [c14]Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Sunayana Sitaram, Alan W. Black:
Speech Synthesis for Mixed-Language Navigation Instructions. INTERSPEECH 2017: 57-61 - 2016
- [c13]Sunayana Sitaram, Alan W. Black:
Speech Synthesis of Code-Mixed Text. LREC 2016 - [c12]Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer:
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. HLT-NAACL 2016: 1357-1366 - [c11]Sunayana Sitaram, Sai Krishna Rallabandi, Shruti Rijhwani, Alan W. Black:
Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text. SSW 2016: 76-81 - [c10]Andrew Wilkinson, Alok Parlikar, Sunayana Sitaram, Tim White, Alan W. Black, Suresh Bazaj:
Open-Source Consumer-Grade Indic Text To Speech. SSW 2016: 190-195 - [i1]Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer:
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. CoRR abs/1605.03832 (2016) - 2015
- [c9]Sunayana Sitaram, Serena Jeblee, Alan W. Black:
Using acoustics to improve pronunciation for synthesis of low resource languages. INTERSPEECH 2015: 259-263 - [c8]Pallavi Baljekar, Sunayana Sitaram, Prasanna Kumar Muthukumar, Alan W. Black:
Using articulatory features and inferred phonological segments in zero resource speech processing. INTERSPEECH 2015: 3194-3198 - [c7]Sunayana Sitaram, Alok Parlikar, Gopala Krishna Anumanchipalli, Alan W. Black:
Universal grapheme-based speech synthesis. INTERSPEECH 2015: 3360-3364 - 2013
- [c6]Kalika Bali, Sunayana Sitaram, Sébastien Cuendet, Indrani Medhi:
A Hindi speech recognizer for an agricultural video search application. ACM DEV (3) 2013: 5:1-5:8 - [c5]Sunayana Sitaram, Sukhada Palkar, Yun-Nung Chen, Alok Parlikar, Alan W. Black:
Bootstrapping Text-to-Speech for speech processing in languages without an orthography. ICASSP 2013: 7992-7996 - [c4]Sunayana Sitaram, Gopala Krishna Anumanchipalli, Justin T. Chiu, Alok Parlikar, Alan W. Black:
Text to speech in new languages without a standardized orthography. SSW 2013: 95-100 - 2012
- [c3]Sunayana Sitaram, Jack Mostow:
Mining Data from Project LISTEN's Reading Tutor to Analyze Development of Children's Oral Reading Prosody. FLAIRS 2012 - 2011
- [j1]Minh Duong, Jack Mostow, Sunayana Sitaram:
Two methods for assessing oral reading prosody. ACM Trans. Speech Lang. Process. 7(4): 14:1-14:22 (2011) - [c2]Sunayana Sitaram, Jack Mostow, Yuanpeng Li, Anders Weinstein, David Yen, Joe Valeri:
What visual feedback should a reading tutor give children on their oral reading prosody? SLaTE 2011: 153-156
2000 – 2009
- 2009
- [c1]Hemant A. Patil, Sunayana Sitaram, Esha Sharma:
DA-IICT Cross-lingual and Multilingual Corpora for Speaker Recognition. ICAPR 2009: 187-190
Coauthor Index
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