default search action
Preethi Jyothi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c83]Bhavani Shankar, Preethi Jyothi, Pushpak Bhattacharyya:
In-context Mixing (ICM): Code-mixed Prompts for Multilingual LLMs. ACL (1) 2024: 4162-4176 - [c82]Barah Fazili, Ashish Agrawal, Preethi Jyothi:
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection. ACL (Findings) 2024: 13406-13422 - [c81]Sanjeev Kumar, Preethi Jyothi, Pushpak Bhattacharyya:
Part-of-speech Tagging for Extremely Low-resource Indian Languages. ACL (Findings) 2024: 14422-14431 - [c80]Sneha Mondal, Ritika, Ashish Agrawal, Preethi Jyothi, Aravindan Raghuveer:
DIMSIM: Distilled Multilingual Critics for Indic Text Simplification. ACL (Findings) 2024: 16093-16109 - [c79]Ashish Sunil Agrawal, Barah Fazili, Preethi Jyothi:
Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual Learning. EACL (2) 2024: 319-329 - [c78]Pavan Tankala, Preethi Jyothi, Preeti Rao, Pushpak Bhattacharyya:
STORiCo: Storytelling TTS for Hindi with Character Voice Modulation. EACL (2) 2024: 426-431 - [c77]Ayush Maheshwari, Preethi Jyothi, Ganesh Ramakrishnan:
DictDis: Dictionary Constrained Disambiguation for Improved NMT. EMNLP (Findings) 2024: 10991-11004 - [i48]Ashish Sunil Agrawal, Barah Fazili, Preethi Jyothi:
Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual Learning. CoRR abs/2402.02080 (2024) - [i47]Yash Sharma, Basil Abraham, Preethi Jyothi:
Gujarati-English Code-Switching Speech Recognition using ensemble prediction of spoken language. CoRR abs/2403.08011 (2024) - [i46]Karthika NJ, Ayush Maheshwari, Atul Kumar Singh, Preethi Jyothi, Ganesh Ramakrishnan, Krishnakant Bhatt:
LexGen: Domain-aware Multilingual Lexicon Generation. CoRR abs/2405.11200 (2024) - [i45]Bhavani Shankar, Preethi Jyothi, Pushpak Bhattacharyya:
CoSTA: Code-Switched Speech Translation using Aligned Speech-Text Interleaving. CoRR abs/2406.10993 (2024) - [i44]Darshan Prabhu, Yifan Peng, Preethi Jyothi, Shinji Watanabe:
Multi-Convformer: Extending Conformer with Multiple Convolution Kernels. CoRR abs/2407.03718 (2024) - [i43]Darshan Prabhu, Abhishek Gupta, Omkar Nitsure, Preethi Jyothi, Sriram Ganapathy:
Improving Self-supervised Pre-training using Accent-Specific Codebooks. CoRR abs/2407.03734 (2024) - [i42]Krishnakant Bhatt, Karthika NJ, Ganesh Ramakrishnan, Preethi Jyothi:
CharSS: Character-Level Transformer Model for Sanskrit Word Segmentation. CoRR abs/2407.06331 (2024) - [i41]Barah Fazili, Ashish Sunil Agrawal, Preethi Jyothi:
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection. CoRR abs/2407.10582 (2024) - [i40]Sona Elza Simon, Soumen Kumar Mondal, Abhishek Singhania, Sayambhu Sen, Preethi Jyothi:
LoFTI: Localization and Factuality Transfer to Indian Locales. CoRR abs/2407.11833 (2024) - [i39]Ashish R. Mittal, Darshan Prabhu, Sunita Sarawagi, Preethi Jyothi:
SALSA: Speedy ASR-LLM Synchronous Aggregation. CoRR abs/2408.16542 (2024) - 2023
- [c76]Ujan Deb, Ridayesh Parab, Preethi Jyothi:
Zero-shot Cross-lingual Transfer With Learned Projections Using Unlabeled Target-Language Data. ACL (2) 2023: 449-457 - [c75]Richeek Das, Sahasra Ranjan, Shreya Pathak, Preethi Jyothi:
Improving Pretraining Techniques for Code-Switched NLP. ACL (1) 2023: 1176-1191 - [c74]Suraj Kothawade, Anmol Reddy Mekala, D. Chandra Sekhara Hetha Havya, Mayank Kothyari, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi:
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation. ACL (1) 2023: 5810-5822 - [c73]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
Adversarial Training for Low-Resource Disfluency Correction. ACL (Findings) 2023: 8112-8122 - [c72]Darshan Prabhu, Preethi Jyothi, Sriram Ganapathy, Vinit Unni:
Accented Speech Recognition With Accent-specific Codebooks. EMNLP 2023: 7175-7188 - [c71]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages. EMNLP (Findings) 2023: 12833-12857 - [c70]Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi, George Saon, Gakuto Kurata:
Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries. EMNLP 2023: 14820-14835 - [c69]Brian Yan, Matthew Wiesner, Ondrej Klejch, Preethi Jyothi, Shinji Watanabe:
Towards Zero-Shot Code-Switched Speech Recognition. ICASSP 2023: 1-5 - [c68]Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi:
In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations. ICLR 2023 - [c67]Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi, Ganesh Ramakrishnan, Tanmay Mahapatra, Manoj Singh:
Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration. IJCAI 2023: 6156-6164 - [c66]Jie Chi, Brian Lu, Jason Eisner, Peter Bell, Preethi Jyothi, Ahmed M. Ali:
Unsupervised Code-switched Text Generation from Parallel Text. INTERSPEECH 2023: 1419-1423 - [c65]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction. INTERSPEECH 2023: 3681-3682 - [c64]Vinit S. Unni, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi:
Improving RNN-Transducers with Acoustic LookAhead. INTERSPEECH 2023: 4419-4423 - [c63]Tankala Pavan Kalyan, Preeti Rao, Preethi Jyothi, Pushpak Bhattacharyya:
Narrator or Character: Voice Modulation in an Expressive Multi-speaker TTS. INTERSPEECH 2023: 4808-4812 - [i38]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction. CoRR abs/2305.16957 (2023) - [i37]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
Adversarial Training For Low-Resource Disfluency Correction. CoRR abs/2306.06384 (2023) - [i36]Vinit S. Unni, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi:
Improving RNN-Transducers with Acoustic LookAhead. CoRR abs/2307.05006 (2023) - [i35]Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi, Ganesh Ramakrishnan, Tanmay Mahapatra, Manoj Singh:
Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration. CoRR abs/2310.06702 (2023) - [i34]Darshan Prabhu, Preethi Jyothi, Sriram Ganapathy, Vinit Unni:
Accented Speech Recognition With Accent-specific Codebooks. CoRR abs/2310.15970 (2023) - [i33]Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya:
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages. CoRR abs/2310.16749 (2023) - 2022
- [c62]Soumya Chatterjee, Sunita Sarawagi, Preethi Jyothi:
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding. ACL (1) 2022: 6675-6689 - [c61]Barah Fazili, Preethi Jyothi:
Aligning Multilingual Embeddings for Improved Code-switched Natural Language Understanding. COLING 2022: 4268-4273 - [c60]Rohit Kundu, Preethi Jyothi, Pushpak Bhattacharyya:
Zero-shot Disfluency Detection for Indian Languages. COLING 2022: 4442-4454 - [c59]Sneha Mondal, Ritika, Shreya Pathak, Preethi Jyothi, Aravindan Raghuveer:
CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation. EMNLP 2022: 2466-2479 - [c58]Ashish R. Mittal, Durga Sivasubramanian, Rishabh K. Iyer, Preethi Jyothi, Ganesh Ramakrishnan:
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training. EMNLP (Findings) 2022: 5999-6010 - [c57]Vinit Unni, Shreya Khare, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi, Samarth Bharadwaj:
Adaptive Discounting of Implicit Language Models in RNN-Transducers. ICASSP 2022: 8122-8126 - [c56]Rishabh Kumar, Devaraja Adiga, Mayank Kothyari, Jatin Dalal, Ganesh Ramakrishnan, Preethi Jyothi:
VAgyojaka: An Annotating and Post-Editing Tool for Automatic Speech Recognition. INTERSPEECH 2022: 857-858 - [c55]Rishabh Kumar, Devaraja Adiga, Rishav Ranjan, Amrith Krishna, Ganesh Ramakrishnan, Pawan Goyal, Preethi Jyothi:
Linguistically Informed Post-processing for ASR Error correction in Sanskrit. INTERSPEECH 2022: 2293-2297 - [c54]Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh:
SPLICEOUT: A Simple and Efficient Audio Augmentation Method. INTERSPEECH 2022: 2678-2682 - [i32]Samrat Dutta, Shreyansh Jain, Ayush Maheshwari, Ganesh Ramakrishnan, Preethi Jyothi:
Error Correction in ASR using Sequence-to-Sequence Models. CoRR abs/2202.01157 (2022) - [i31]Vinit Unni, Shreya Khare, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi, Samarth Bharadwaj:
Adaptive Discounting of Implicit Language Models in RNN-Transducers. CoRR abs/2203.02317 (2022) - [i30]Piyush Singh Pasi, Shubham Nemani, Preethi Jyothi, Ganesh Ramakrishnan:
Investigating Modality Bias in Audio Visual Video Parsing. CoRR abs/2203.16860 (2022) - [i29]Soumya Chatterjee, Sunita Sarawagi, Preethi Jyothi:
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding. CoRR abs/2204.00871 (2022) - [i28]Ayush Maheshwari, Piyush Sharma, Preethi Jyothi, Ganesh Ramakrishnan:
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT. CoRR abs/2210.06996 (2022) - [i27]Ashish R. Mittal, Durga Sivasubramanian, Rishabh K. Iyer, Preethi Jyothi, Ganesh Ramakrishnan:
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training. CoRR abs/2210.16892 (2022) - [i26]Brian Yan, Matthew Wiesner, Ondrej Klejch, Preethi Jyothi, Shinji Watanabe
:
Towards Zero-Shot Code-Switched Speech Recognition. CoRR abs/2211.01458 (2022) - 2021
- [c53]Ishan Tarunesh, Syamantak Kumar, Preethi Jyothi:
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text. ACL/IJCNLP (1) 2021: 3154-3169 - [c52]Devaraja Adiga, Rishabh Kumar, Amrith Krishna, Preethi Jyothi, Ganesh Ramakrishnan, Pawan Goyal:
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights. ACL/IJCNLP (Findings) 2021: 5039-5050 - [c51]Nikhil Saini, Drumil Trivedi, Shreya Khare, Tejas I. Dhamecha, Preethi Jyothi, Samarth Bharadwaj, Pushpak Bhattacharyya:
Disfluency Correction using Unsupervised and Semi-supervised Learning. EACL 2021: 3421-3427 - [c50]Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi:
Meta-Learning for Effective Multi-task and Multilingual Modelling. EACL 2021: 3600-3612 - [c49]Vinod K. Kurmi, Vipul Bajaj, Badri N. Patro, K. S. Venkatesh, Vinay P. Namboodiri
Collaborative Learning to Generate Audio-Video Jointly. ICASSP 2021: 4180-4184 - [c48]Archiki Prasad, Preethi Jyothi, Rajbabu Velmurugan:
An Investigation of End-to-End Models for Robust Speech Recognition. ICASSP 2021: 6893-6897 - [c47]Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi, Preethi Jyothi:
Error-Driven Fixed-Budget ASR Personalization for Accented Speakers. ICASSP 2021: 7033-7037 - [c46]Jayaprakash Akula, Abhishek Sharma, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan:
Cross Lingual Video and Text Retrieval: A New Benchmark Dataset and Algorithm. ICMI 2021: 595-603 - [c45]Arjit Jain, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, Maneesh Kumar Singh:
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning. IJCAI 2021: 758-764 - [c44]Shreya Khare, Ashish R. Mittal, Anuj Diwan, Sunita Sarawagi, Preethi Jyothi, Samarth Bharadwaj:
Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration. Interspeech 2021: 1529-1533 - [c43]Jatin Lamba, Abhishek, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan:
Cross-Modal Learning for Audio-Visual Video Parsing. Interspeech 2021: 1937-1941 - [c42]Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra
MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. Interspeech 2021: 2446-2450 - [c41]Anuj Diwan, Preethi Jyothi:
Reduce and Reconstruct: ASR for Low-Resource Phonetic Languages. Interspeech 2021: 3445-3449 - [c40]Aman Jain, Mayank Kothyari, Vishwajeet Kumar
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering. SIGIR 2021: 2491-2498 - [i25]Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi:
Meta-Learning for Effective Multi-task and Multilingual Modelling. CoRR abs/2101.10368 (2021) - [i24]Archiki Prasad, Preethi Jyothi, Rajbabu Velmurugan:
An Investigation of End-to-End Models for Robust Speech Recognition. CoRR abs/2102.06237 (2021) - [i23]Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi, Preethi Jyothi:
Error-driven Fixed-Budget ASR Personalization for Accented Speakers. CoRR abs/2103.03142 (2021) - [i22]Jayaprakash Akula, Abhishek Sharma, Rishabh Dabral, Ganesh Ramakrishnan, Preethi Jyothi:
Rudder: A Cross Lingual Video and Text Retrieval Dataset. CoRR abs/2103.05457 (2021) - [i21]Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti:
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering. CoRR abs/2103.05568 (2021) - [i20]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) - [i19]Vinod K. Kurmi, Vipul Bajaj, Badri N. Patro, K. S. Venkatesh, Vinay P. Namboodiri, Preethi Jyothi:
Collaborative Learning to Generate Audio-Video Jointly. CoRR abs/2104.02656 (2021) - [i18]Jatin Lamba, Abhishek Sharma, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan:
Cross-Modal learning for Audio-Visual Video Parsing. CoRR abs/2104.04598 (2021) - [i17]Devaraja Adiga, Rishabh Kumar, Amrith Krishna, Preethi Jyothi, Ganesh Ramakrishnan, Pawan Goyal:
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights. CoRR abs/2106.05852 (2021) - [i16]Ishan Tarunesh, Syamantak Kumar, Preethi Jyothi:
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text. CoRR abs/2107.06483 (2021) - [i15]Archiki Prasad, Mohammad Ali Rehan, Shreya Pathak, Preethi Jyothi:
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding. CoRR abs/2107.09931 (2021) - [i14]Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh:
SpliceOut: A Simple and Efficient Audio Augmentation Method. CoRR abs/2110.00046 (2021) - [i13]Mayank Kothyari, Anmol Reddy Mekala, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi:
Personalizing ASR with limited data using targeted subset selection. CoRR abs/2110.04908 (2021) - 2020
- [c39]Archiki Prasad, Preethi Jyothi:
How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems. ACL 2020: 3739-3753 - [c38]Vinit Unni, Nitish Joshi, Preethi Jyothi:
Coupled Training of Sequence-to-Sequence Models for Accented Speech Recognition. ICASSP 2020: 8254-8258 - [c37]Kartik Khandelwal, Preethi Jyothi, Abhijeet Awasthi, Sunita Sarawagi:
Black-Box Adaptation of ASR for Accented Speech. INTERSPEECH 2020: 1281-1285 - [c36]Vighnesh Reddy Konda, Mayur Warialani, Rakesh Prasanth Achari, Varad Bhatnagar, Jayaprakash Akula, Preethi Jyothi, Ganesh Ramakrishnan, Gholamreza Haffari, Pankaj Singh:
Caption Alignment for Low Resource Audio-Visual Data. INTERSPEECH 2020: 3525-3529 - [c35]Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi:
Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS. INTERSPEECH 2020: 4771-4775 - [c34]Nikhil Saini, Jyotsana Khatri, Preethi Jyothi, Pushpak Bhattacharyya:
Generating Fluent Translations from Disfluent Text Without Access to Fluent References: IIT Bombay@IWSLT2020. IWSLT 2020: 178-186 - [c33]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 - [i12]Kartik Khandelwal, Preethi Jyothi, Abhijeet Awasthi, Sunita Sarawagi:
Black-box Adaptation of ASR for Accented Speech. CoRR abs/2006.13519 (2020) - [i11]Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi:
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS. CoRR abs/2010.05549 (2020) - [i10]Anuj Diwan, Preethi Jyothi:
Reduce and Reconstruct: Improving Low-resource End-to-end ASR Via Reconstruction Using Reduced Vocabularies. CoRR abs/2010.09322 (2020)
2010 – 2019
- 2019
- [j4]Siva Shanmugam, Preethi Jyothi:
Improved feature selection and classification for rheumatoid arthritis disease using weighted decision tree approach (REACT). J. Supercomput. 75(8): 5507-5519 (2019) - [c32]Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi:
Cross-Lingual Training for Automatic Question Generation. ACL (1) 2019: 4863-4872 - [c31]Pankaj Joshi, Chitwan Saharia, Vishwajeet Singh, Digvijaysingh Gautam, Ganesh Ramakrishnan, Preethi Jyothi:
A Tale of Two Modalities for Video Captioning. ICCV Workshops 2019: 3708-3712 - [c30]Karan Taneja, Satarupa Guha, Preethi Jyothi, Basil Abraham:
Exploiting Monolingual Speech Corpora for Code-Mixed Speech Recognition. INTERSPEECH 2019: 2150-2154 - [i9]Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi:
Cross-Lingual Training for Automatic Question Generation. CoRR abs/1906.02525 (2019) - [i8]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) - [i7]Yash Shah, Ishan Tarunesh, Harsh Deshpande, Preethi Jyothi:
Stem-driven Language Models for Morphologically Rich Languages. CoRR abs/1910.11536 (2019) - 2018
- [c29]Saurabh Garg, Tanmay Parekh, Preethi Jyothi:
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining. EMNLP 2018: 3078-3083 - [c28]Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer:
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. EMNLP 2018: 4743-4751 - [c27]Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi:
Generalizing Across Domains via Cross-Gradient Training. ICLR (Poster) 2018 - [c26]Abhinav Jain, Minali Upreti, Preethi Jyothi:
Improved Accented Speech Recognition Using Accent Embeddings and Multi-task Learning. INTERSPEECH 2018: 2454-2458 - [c25]Saurabh Garg, Tanmay Parekh, Preethi Jyothi:
Dual Language Models for Code Switched Speech Recognition. INTERSPEECH 2018: 2598-2602 - [c24]Pankaj Joshi, Digvijaysingh Gautam, Ganesh Ramakrishnan, Preethi Jyothi:
Time Aggregation Operators for Multi-label Audio Event Detection. INTERSPEECH 2018: 3309-3313 - [c23]Hanumant Harichandra Redkar, Rajita Shukla, Sandhya Singh, Jaya Saraswati, Laxmi Kashyap, Diptesh Kanojia, Preethi Jyothi, Malhar Kulkarni, Pushpak Bhattacharyya:
Hindi Wordnet for Language Teaching: Experiences and Lessons Learnt. GWC 2018: 314-323 - [c22]Diptesh Kanojia, Preethi Jyothi, Pushpak Bhattacharyya:
Synthesizing Audio for Hindi WordNet. GWC 2018: 388-393 - [i6]Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi:
Generalizing Across Domains via Cross-Gradient Training. CoRR abs/1804.10745 (2018) - [i5]Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer:
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. CoRR abs/1808.07733 (2018) - [i4]Saurabh Garg, Tanmay Parekh, Preethi Jyothi:
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining. CoRR abs/1809.01962 (2018) - 2017
- [j3]Mark A. Hasegawa-Johnson
ASR for Under-Resourced Languages From Probabilistic Transcription. IEEE ACM Trans. Audio Speech Lang. Process. 25(1): 46-59 (2017) - [c21]Mark Hasegawa-Johnson, Preethi Jyothi, Wenda Chen
Mismatched crowdsourcing: Mining latent skills to acquire speech transcriptions. ACSSC 2017: 1277-1281 - [c20]Aditya Siddhant, Preethi Jyothi, Sriram Ganapathy:
Leveraging native language speech for accent identification using deep Siamese networks. ASRU 2017: 621-628 - [c19]Preethi Jyothi, Mark Hasegawa-Johnson:
Low-resource grapheme-to-phoneme conversion using recurrent neural networks. ICASSP 2017: 5030-5034 - [i3]Saurabh Garg, Tanmay Parekh, Preethi Jyothi:
Dual Language Models for Code Mixed Speech Recognition. CoRR abs/1711.01048 (2017) - [i2]Aditya Siddhant, Preethi Jyothi, Sriram Ganapathy:
Leveraging Native Language Speech for Accent Identification using Deep Siamese Networks. CoRR abs/1712.08992 (2017) - 2016
- [j2]Karen Livescu
Articulatory feature-based pronunciation modeling. Comput. Speech Lang. 36: 212-232 (2016) - [c18]Chunxi Liu, Preethi Jyothi, Hao Tang, Vimal Manohar, Rose Sloan, Tyler Kekona, Mark Hasegawa-Johnson, Sanjeev Khudanpur:
Adapting ASR for under-resourced languages using mismatched transcriptions. ICASSP 2016: 5840-5844 - [c17]Amit Das, Preethi Jyothi, Mark Hasegawa-Johnson:
Automatic Speech Recognition Using Probabilistic Transcriptions in Swahili, Amharic, and Dinka. INTERSPEECH 2016: 3524-3528 - [c16]Lav R. Varshney, Preethi Jyothi, Mark Hasegawa-Johnson:
Language coverage for mismatched crowdsourcing. ITA 2016: 1-9 - [c15]Xiang Kong, Preethi Jyothi, Mark Hasegawa-Johnson:
Performance Improvement of Probabilistic Transcriptions with Language-specific Constraints. SLTU 2016: 30-36 - [c14]Wenda Chen, Mark Hasegawa-Johnson, Nancy F. Chen, Preethi Jyothi, Lav R. Varshney:
Clustering-based Phonetic Projection in Mismatched Crowdsourcing Channels for Low-resourced ASR. WSSANLP@COLING 2016: 133-141 - [i1]Xiang Kong, Preethi Jyothi, Mark Hasegawa-Johnson:
Performance Improvements of Probabilistic Transcript-adapted ASR with Recurrent Neural Network and Language-specific Constraints. CoRR abs/1612.03991 (2016) - 2015
- [c13]Preethi Jyothi, Mark Hasegawa-Johnson:
Acquiring Speech Transcriptions Using Mismatched Crowdsourcing. AAAI 2015: 1263-1269 - [c12]Tatiana Luchkina, Jennifer S. Cole, Preethi Jyothi, Vandana Puri:
Prosodic and structural correlates of perceived prominence in Russian and Hindi. ICPhS 2015 - [c11]Preethi Jyothi, Mark Hasegawa-Johnson:
Transcribing continuous speech using mismatched crowdsourcing. INTERSPEECH 2015: 2774-2778 - [c10]Preethi Jyothi, Mark Hasegawa-Johnson:
Improved hindi broadcast ASR by adapting the language model and pronunciation model using a priori syntactic and morphophonemic knowledge. INTERSPEECH 2015: 3164-3168 - 2014
- [c9]Preethi Jyothi, Karen Livescu:
Revisiting Word Neighborhoods for Speech Recognition. SIGMORPHON/SIGFSM 2014: 1-9 - 2013
- [j1]Eric Fosler-Lussier, Yanzhang He, Preethi Jyothi, Rohit Prabhavalkar
Conditional Random Fields in Speech, Audio, and Language Processing. Proc. IEEE 101(5): 1054-1075 (2013) - [c8]Preethi Jyothi, Eric Fosler-Lussier, Karen Livescu:
Discriminative training of WFST factors with application to pronunciation modeling. INTERSPEECH 2013: 1961-1965 - 2012
- [c7]Preethi Jyothi, Leif Johnson, Ciprian Chelba, Brian Strope:
Distributed discriminative language models for Google voice-search. ICASSP 2012: 5017-5020 - [c6]Preethi Jyothi, Eric Fosler-Lussier, Karen Livescu:
Discriminatively learning factorized finite state pronunciation models from dynamic Bayesian networks. INTERSPEECH 2012: 1063-1066 - [c5]Preethi Jyothi, Leif Johnson, Ciprian Chelba, Brian Strope:
Large-scale discriminative language model reranking for voice-search. WLM@NAACL-HLT 2012: 41-49 - 2011
- [c4]Preethi Jyothi, Karen Livescu
Lexical access experiments with context-dependent articulatory feature-based models. ICASSP 2011: 4900-4903 - 2010
- [c3]Preethi Jyothi, Eric Fosler-Lussier:
Discriminative language modeling using simulated ASR errors. INTERSPEECH 2010: 1049-1052 - [c2]Rohit Prabhavalkar, Preethi Jyothi, William Hartmann, Jeremy Morris, Eric Fosler-Lussier:
Investigations into the Crandem Approach to Word Recognition. HLT-NAACL 2010: 725-728
2000 – 2009
- 2009
- [c1]Preethi Jyothi, Eric Fosler-Lussier:
A comparison of audio-free speech recognition error prediction methods. INTERSPEECH 2009: 1211-1214
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: