Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition.
CoRR, 2024
Effective Text Adaptation For LLM-Based ASR Through Soft Prompt Fine-Tuning.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024
Recovering from Privacy-Preserving Masking with Large Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024
Contextual Biasing of Named-Entities with Large Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024
Correction Focused Language Model Training For Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024
Effective Internal Language Model Training and Fusion for Factorized Transducer Model.
Proceedings of the IEEE International Conference on Acoustics, 2024
DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Adaptive Multi-Corpora Language Model Training for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proximal Mapping for Deep Regularization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space.
Proceedings of the 37th International Conference on Machine Learning, 2020
Learning Invariant Representations with Kernel Warping.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019