Anirudh Raju

According to our database1, Anirudh Raju authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion.
CoRR, 2024

2023
Cross-Utterance ASR Rescoring with Graph-Based Label Propagation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Federated Self-Learning with Weak Supervision for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Adaptive Endpointing with Deep Contextual Multi-Armed Bandits.
Proceedings of the IEEE International Conference on Acoustics, 2023

Solution for Agri Disaster Using Climate Changes Adaptation by Ml.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023

Two-Pass Endpoint Detection for Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On joint training with interfaces for spoken language understanding.
Proceedings of the Interspeech 2022, 2022

Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities.
Proceedings of the Interspeech 2022, 2022

MTL-SLT: Multi-Task Learning for Spoken Language Tasks.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
End-to-End Spoken Language Understanding using RNN-Transducer ASR.
CoRR, 2021

Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

DO as I Mean, Not as I Say: Sequence Loss Training for Spoken Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Task Language Modeling for Improving Speech Recognition of Rare Words.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Speech to Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces.
Proceedings of the Interspeech 2020, 2020

2019
Scalable Multi Corpora Neural Language Models for ASR.
Proceedings of the Interspeech 2019, 2019

Improving Noise Robustness of Automatic Speech Recognition via Parallel Data and Teacher-student Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Data Augmentation for Robust Keyword Spotting under Playback Interference.
CoRR, 2018

On Evaluating and Comparing Conversational Agents.
CoRR, 2018

Topic-based Evaluation for Conversational Bots.
CoRR, 2018

Contextual Language Model Adaptation for Conversational Agents.
Proceedings of the Interspeech 2018, 2018

Time-Delayed Bottleneck Highway Networks Using a DFT Feature for Keyword Spotting.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016
Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

2014
Non-linear dimension reduction of Gabor features for noise-robust ASR.
Proceedings of the IEEE International Conference on Acoustics, 2014


  Loading...