Rama Sanand Doddipatla
Orcid: 0000-0003-1061-9512
According to our database1,
Rama Sanand Doddipatla
authored at least 58 papers
between 2007 and 2024.
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Bibliography
2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
2023
Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues.
CoRR, 2023
CoRR, 2023
A Teacher-Student approach for extracting informative speaker embeddings from speech mixtures.
CoRR, 2023
On the Effectiveness of Monoaural Target Source Extraction for Distant end-to-end Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
Cumulative Attention Based Streaming Transformer ASR with Internal Language Model Joint Training and Rescoring.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Enabling Semi-Structured Knowledge Access via a Question-Answering Module in Task-oriented Dialogue Systems.
Proceedings of the 5th International Conference on Conversational User Interfaces, 2023
Towards a Unified End-to-End Language Understanding System for Speech and Text Inputs.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
Robust Recognition of Speaker Emotion With Difference Feature Extraction Using a Few Enrollment Utterances.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
2022
Factors in Emotion Recognition With Deep Learning Models Using Speech and Text on Multiple Corpora.
IEEE Signal Process. Lett., 2022
Non-Autoregressive End-to-End Approaches for Joint Automatic Speech Recognition and Spoken Language Understanding.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Combining Structured and Unstructured Knowledge in an Interactive Search Dialogue System.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022
Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022
On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training.
Proceedings of the Interspeech 2022, 2022
Self-regularised Minimum Latency Training for Streaming Transformer-based Speech Recognition.
Proceedings of the Interspeech 2022, 2022
Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer.
Proceedings of the Interspeech 2022, 2022
Speaker Reinforcement Using Target Source Extraction for Robust Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Proceedings of the IEEE Spoken Language Technology Workshop, 2021
Transformer-Based Online Speech Recognition with Decoder-end Adaptive Computation Steps.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021
Proceedings of the Conversational AI for Natural Human-Centric Interaction, 2021
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2021
Train Your Classifier First: Cascade Neural Networks Training from Upper Layers to Lower Layers.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Multiple-Hypothesis CTC-Based Semi-Supervised Adaptation of End-to-End Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Learning Noise Invariant Features Through Transfer Learning For Robust End-to-End Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
An Investigation into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2017
Proceedings of the Interspeech 2017, 2017
2016
Speaker adaptive training in deep neural networks using speaker dependent bottleneck features.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Proceedings of the INTERSPEECH 2015, 2015
2014
Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2014, 2014
Proceedings of the INTERSPEECH 2014, 2014
Speaker dependent bottleneck layer training for speaker adaptation in automatic speech recognition.
Proceedings of the INTERSPEECH 2014, 2014
2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Synthetic speaker models using VTLN to improve the performance of children in mismatched speaker conditions for ASR.
Proceedings of the INTERSPEECH 2013, 2013
2012
IEEE Trans. Speech Audio Process., 2012
Creating synthetic voices for children by adapting adult average voice using stacked transformations and VTLN.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
A Study on Combining VTLN and SAT to Improve the Performance of Automatic Speech Recognition.
Proceedings of the INTERSPEECH 2011, 2011
2010
Proceedings of the INTERSPEECH 2010, 2010
2009
A study on the influence of covariance adaptation on jacobian compensation in vocal tract length normalization.
Proceedings of the INTERSPEECH 2009, 2009
Proceedings of the INTERSPEECH 2009, 2009
Improving the performance of VTLN under mismatched speaker conditions and making it approach that of matched speaker conditions.
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Study of jacobian compensation using linear transformation of conventional MFCC for VTLN.
Proceedings of the INTERSPEECH 2008, 2008
Use of spectral centre of gravity for generating speaker invariant features for automatic speech recognition.
Proceedings of the INTERSPEECH 2008, 2008
A computationally efficient approach to warp factor estimation in VTLN using EM algorithm and sufficient statistics.
Proceedings of the INTERSPEECH 2008, 2008
2007
Proceedings of the INTERSPEECH 2007, 2007
Proceedings of the IJCAI 2007, 2007