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ORCIDRama Sanand Doddipatla
Rama Doddipatla – Doddipatla Rama Sanand – D. Rama Sanand
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2020 – today
- 2024
[j3]Alejandro Santorum Varela
, Svetlana Stoyanchev, Simon Keizer, Rama Doddipatla, Kate M. Knill:
Entity Resolution in Situated Dialog With Unimodal and Multimodal Transformers. IEEE ACM Trans. Audio Speech Lang. Process. 32: 704-713 (2024)- [c57]Chengzu Li, Chao Zhang, Simone Teufel, Rama Sanand Doddipatla, Svetlana Stoyanchev:
Semantic Map-based Generation of Navigation Instructions. LREC/COLING 2024: 14628-14640 - [c56]Abigail Sticha, Norbert Braunschweiler, Rama Sanand Doddipatla, Kate M. Knill:
Advancing Faithfulness of Large Language Models in Goal-Oriented Dialogue Question Answering. CUI 2024: 32 - [c55]Cong-Thanh Do, Shuhei Imai, Rama Doddipatla, Thomas Hain:
Improving Accented Speech Recognition Using Data Augmentation Based on Unsupervised Text-to-Speech Synthesis. EUSIPCO 2024: 136-140 - [c54]Tobias Cord-Landwehr, Christoph Böddeker, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization of Meeting Scenarios. ICASSP 2024: 11886-11890 - [c53]Mohan Li, Cong-Thanh Do, Simon Keizer, Youmna Farag, Svetlana Stoyanchev, Rama Doddipatla:
WHISMA: A Speech-LLM to Perform Zero-Shot Spoken Language Understanding. SLT 2024: 1115-1122 - [i24]Chengzu Li, Chao Zhang, Simone Teufel, Rama Sanand Doddipatla, Svetlana Stoyanchev:
Semantic Map-based Generation of Navigation Instructions. CoRR abs/2403.19603 (2024) - [i23]Cong-Thanh Do, Shuhei Imai, Rama Doddipatla, Thomas Hain:
Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis. CoRR abs/2407.04047 (2024) - [i22]Mohan Li, Cong-Thanh Do, Simon Keizer, Youmna Farag, Svetlana Stoyanchev, Rama Doddipatla:
WHISMA: A Speech-LLM to Perform Zero-shot Spoken Language Understanding. CoRR abs/2408.16423 (2024) - 2023
- [c52]Daichi Hayakawa, Takehiko Kagoshima, Kenji Iwata, Norbert Braunschweiler, Rama Doddipatla:
Robust Recognition of Speaker Emotion With Difference Feature Extraction Using a Few Enrollment Utterances. ASRU 2023: 1-7 - [c51]Mohan Li, Catalin Zorila, Cong-Thanh Do, Rama Doddipatla:
Towards a Unified End-to-End Language Understanding System for Speech and Text Inputs. ASRU 2023: 1-8 - [c50]Norbert Braunschweiler, Rama Sanand Doddipatla, Simon Keizer, Svetlana Stoyanchev:
Enabling Semi-Structured Knowledge Access via a Question-Answering Module in Task-oriented Dialogue Systems. CUI 2023: 36:1-36:11 - [c49]Tobias Cord-Landwehr, Christoph Böddeker, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization. ICASSP 2023: 1-5 - [c48]Mohan Li, Cong-Thanh Do, Rama Doddipatla:
Cumulative Attention Based Streaming Transformer ASR with Internal Language Model Joint Training and Rescoring. ICASSP 2023: 1-5 - [c47]Catalin Zorila, Rama Doddipatla:
On the Effectiveness of Monoaural Target Source Extraction for Distant end-to-end Automatic Speech Recognition. ICASSP 2023: 1-5 - [c46]Cong-Thanh Do, Rama Doddipatla, Mohan Li, Thomas Hain:
Domain Adaptive Self-supervised Training of Automatic Speech Recognition. INTERSPEECH 2023: 4389-4393 - [c45]Tobias Cord-Landwehr, Christoph Böddeker, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
A Teacher-Student Approach for Extracting Informative Speaker Embeddings From Speech Mixtures. INTERSPEECH 2023: 4703-4707 - [i21]Mohan Li, Rama Doddipatla:
Non-autoregressive End-to-end Approaches for Joint Automatic Speech Recognition and Spoken Language Understanding. CoRR abs/2304.10869 (2023) - [i20]Mohan Li, Rama Doddipatla, Catalin Zorila:
Self-regularised Minimum Latency Training for Streaming Transformer-based Speech Recognition. CoRR abs/2304.11985 (2023) - [i19]Tobias Cord-Landwehr, Christoph Böddeker, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
A Teacher-Student approach for extracting informative speaker embeddings from speech mixtures. CoRR abs/2306.00634 (2023) - [i18]Simon Keizer, Caroline Dockes, Norbert Braunschweiler, Svetlana Stoyanchev, Rama Doddipatla:
Adversarial learning of neural user simulators for dialogue policy optimisation. CoRR abs/2306.00858 (2023) - [i17]Norbert Braunschweiler, Rama Doddipatla, Simon Keizer, Svetlana Stoyanchev:
Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues. CoRR abs/2309.11838 (2023) - 2022
- [j2]Norbert Braunschweiler, Rama Doddipatla, Simon Keizer, Svetlana Stoyanchev:
Factors in Emotion Recognition With Deep Learning Models Using Speech and Text on Multiple Corpora. IEEE Signal Process. Lett. 29: 722-726 (2022) - [c44]Catalin Zorila, Rama Doddipatla:
Speaker Reinforcement Using Target Source Extraction for Robust Automatic Speech Recognition. ICASSP 2022: 6297-6301 - [c43]Mohan Li, Shucong Zhang, Catalin Zorila, Rama Doddipatla:
Transformer-Based Streaming ASR with Cumulative Attention. ICASSP 2022: 8272-8276 - [c42]Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training. INTERSPEECH 2022: 1056-1060 - [c41]Mohan Li, Rama Sanand Doddipatla, Catalin Zorila:
Self-regularised Minimum Latency Training for Streaming Transformer-based Speech Recognition. INTERSPEECH 2022: 2088-2092 - [c40]Cong-Thanh Do, Mohan Li, Rama Doddipatla:
Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer. INTERSPEECH 2022: 4446-4450 - [c39]Tobias Cord-Landwehr, Christoph Böddeker, Thilo von Neumann, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
Monaural Source Separation: From Anechoic To Reverberant Environments. IWAENC 2022: 1-5 - [c38]Svetlana Stoyanchev, Suraj Pandey, Simon Keizer, Norbert Braunschweiler, Rama Sanand Doddipatla:
Combining Structured and Unstructured Knowledge in an Interactive Search Dialogue System. SIGDIAL 2022: 531-540 - [c37]Mohan Li, Rama Doddipatla:
Non-Autoregressive End-to-End Approaches for Joint Automatic Speech Recognition and Spoken Language Understanding. SLT 2022: 390-397 - [i16]Norbert Braunschweiler, Rama Doddipatla, Simon Keizer, Svetlana Stoyanchev:
A study on cross-corpus speech emotion recognition and data augmentation. CoRR abs/2201.03511 (2022) - [i15]Mohan Li, Shucong Zhang, Catalin Zorila, Rama Doddipatla:
Transformer-based Streaming ASR with Cumulative Attention. CoRR abs/2203.05736 (2022) - [i14]Simon Keizer, Norbert Braunschweiler, Svetlana Stoyanchev, Rama Doddipatla:
Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling. CoRR abs/2204.07082 (2022) - [i13]Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training. CoRR abs/2205.01751 (2022) - [i12]Catalin Zorila, Rama Doddipatla:
Speaker Reinforcement Using Target Source Extraction for Robust Automatic Speech Recognition. CoRR abs/2205.04433 (2022) - [i11]Cong-Thanh Do, Mohan Li, Rama Doddipatla:
Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer. CoRR abs/2207.14736 (2022) - 2021
- [c36]Norbert Braunschweiler, Rama Doddipatla, Simon Keizer, Svetlana Stoyanchev:
A Study on Cross-Corpus Speech Emotion Recognition and Data Augmentation. ASRU 2021: 24-30 - [c35]Mohan Li, Rama Doddipatla:
Improving HS-DACS Based Streaming Transformer ASR with Deep Reinforcement Learning. ASRU 2021: 154-161 - [c34]Simon Keizer, Norbert Braunschweiler, Svetlana Stoyanchev, Rama Doddipatla:
Dialogue Strategy Adaptation to New Action Sets Using Multi-Dimensional Modelling. ASRU 2021: 977-983 - [c33]Shucong Zhang, Cong-Thanh Do, Rama Doddipatla, Erfan Loweimi, Peter Bell, Steve Renals:
Train Your Classifier First: Cascade Neural Networks Training from Upper Layers to Lower Layers. ICASSP 2021: 2750-2754 - [c32]Mohan Li, Catalin Zorila, Rama Doddipatla:
Head-Synchronous Decoding for Transformer-Based Streaming ASR. ICASSP 2021: 5909-5913 - [c31]Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism. ICASSP 2021: 6084-6088 - [c30]Cong-Thanh Do, Rama Doddipatla, Thomas Hain:
Multiple-Hypothesis CTC-Based Semi-Supervised Adaptation of End-to-End Speech Recognition. ICASSP 2021: 6978-6982 - [c29]Svetlana Stoyanchev, Simon Keizer, Rama Doddipatla:
Action State Update Approach to Dialogue Management. ICASSP 2021: 7398-7402 - [c28]Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
Teacher-Student MixIT for Unsupervised and Semi-Supervised Speech Separation. Interspeech 2021: 3495-3499 - [c27]Suraj Pandey, Svetlana Stoyanchev, Rama Doddipatla:
Towards Handling Unconstrained User Preferences in Dialogue. IWSDS 2021: 83-97 - [c26]Mohan Li, Catalin Zorila, Rama Doddipatla:
Transformer-Based Online Speech Recognition with Decoder-end Adaptive Computation Steps. SLT 2021: 1-7 - [c25]Catalin Zorila, Mohan Li, Rama Doddipatla:
An Investigation into the Multi-channel Time Domain Speaker Extraction Network. SLT 2021: 793-800 - [i10]Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism. CoRR abs/2102.03762 (2021) - [i9]Shucong Zhang, Cong-Thanh Do, Rama Doddipatla, Erfan Loweimi, Peter Bell, Steve Renals:
Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers. CoRR abs/2102.04697 (2021) - [i8]Cong-Thanh Do, Rama Doddipatla, Thomas Hain:
Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition. CoRR abs/2103.15515 (2021) - [i7]Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation. CoRR abs/2106.07843 (2021) - [i6]Suraj Pandey, Svetlana Stoyanchev, Rama Doddipatla:
Towards Handling Unconstrained User Preferences in Dialogue. CoRR abs/2109.08650 (2021) - [i5]Tobias Cord-Landwehr, Christoph Böddeker, Thilo von Neumann, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
Monaural source separation: From anechoic to reverberant environments. CoRR abs/2111.07578 (2021) - 2020
- [c24]Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments. ICASSP 2020: 6389-6393 - [c23]Shucong Zhang, Cong-Thanh Do, Rama Doddipatla, Steve Renals:
Learning Noise Invariant Features Through Transfer Learning For Robust End-to-End Speech Recognition. ICASSP 2020: 7024-7028 - [i4]Svetlana Stoyanchev, Simon Keizer, Rama Doddipatla:
Action State Update Approach to Dialogue Management. CoRR abs/2011.04637 (2020) - [i3]Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments. CoRR abs/2011.05958 (2020)
2010 – 2019
- 2019
- [c22]Catalin Zorila, Christoph Böddeker, Rama Doddipatla, Reinhold Haeb-Umbach:
An Investigation into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. ASRU 2019: 47-53 - [c21]Petko Nikolov Petkov, Vasileios Tsiaras, Rama Doddipatla, Yannis Stylianou:
An Unsupervised Learning Approach to Neural-net-supported Wpe Dereverberation. ICASSP 2019: 5761-5765 - [c20]Catalin Zorila, Rama Doddipatla:
On Reducing the Effect of Speaker Overlap for Chime-5. ICASSP 2019: 6645-6649 - [i2]Catalin Zorila, Christoph Böddeker, Rama Doddipatla, Reinhold Haeb-Umbach:
An Investigation into the Effectiveness of Enhancement in ASR Training and Test for CHiME-5 Dinner Party Transcription. CoRR abs/1909.12208 (2019) - 2017
- [c19]Rama Doddipatla, Norbert Braunschweiler, Ranniery Maia:
Speaker Adaptation in DNN-Based Speech Synthesis Using d-Vectors. INTERSPEECH 2017: 3404-3408 - 2016
- [c18]Rama Doddipatla:
Speaker adaptive training in deep neural networks using speaker dependent bottleneck features. ICASSP 2016: 5290-5294 - 2015
- [c17]Madina Hasan, Rama Doddipatla, Thomas Hain:
Noise-matched training of CRF based sentence end detection models. INTERSPEECH 2015: 349-353 - [i1]Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla, Wilker Aziz, Kashif Shah, Oscar Saz, Madina Hasan, Ghada AlHarbi, Lucia Specia, Thomas Hain:
The USFD Spoken Language Translation System for IWSLT 2014. CoRR abs/1509.03870 (2015) - 2014
- [c16]Rama Doddipatla, Madina Hasan, Thomas Hain:
Speaker dependent bottleneck layer training for speaker adaptation in automatic speech recognition. INTERSPEECH 2014: 2199-2203 - [c15]Madina Hasan, Rama Doddipatla, Thomas Hain:
Multi-pass sentence-end detection of lecture speech. INTERSPEECH 2014: 2902-2906 - [c14]Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla, Wilker Aziz, Kashif Shah, Oscar Saz, Madina Hasan, Ghada AlHaribi, Lucia Specia, Thomas Hain:
The USFD SLT system for IWSLT 2014. IWSLT (Evaluation Campaign) 2014 - 2013
- [c13]D. Rama Sanand, Torbjørn Svendsen:
Synthetic speaker models using VTLN to improve the performance of children in mismatched speaker conditions for ASR. INTERSPEECH 2013: 3361-3365 - [c12]Jarle Bauck Hamar, Doddipatla Rama Sanand, Torbjørn Svendsen, Thippur Sreenivas:
Non-negative durational HMM. MLSP 2013: 1-6 - 2012
- [j1]D. Rama Sanand, Srinivasan Umesh:
VTLN Using Analytically Determined Linear-Transformation on Conventional MFCC. IEEE Trans. Speech Audio Process. 20(5): 1573-1584 (2012) - [c11]Reima Karhila, Doddipatla Rama Sanand, Mikko Kurimo, Peter Smit:
Creating synthetic voices for children by adapting adult average voice using stacked transformations and VTLN. ICASSP 2012: 4501-4504 - 2011
- [c10]Doddipatla Rama Sanand, Mikko Kurimo:
A Study on Combining VTLN and SAT to Improve the Performance of Automatic Speech Recognition. INTERSPEECH 2011: 2581-2584 - 2010
- [c9]Doddipatla Rama Sanand, Ralf Schlüter, Hermann Ney:
Revisiting VTLN using linear transformation on conventional MFCC. INTERSPEECH 2010: 538-541
2000 – 2009
- 2009
- [c8]D. Rama Sanand, Shakti Prasad Rath, Srinivasan Umesh:
Improving the performance of VTLN under mismatched speaker conditions and making it approach that of matched speaker conditions. ICASSP 2009: 4397-4400 - [c7]D. Rama Sanand, Shakti Prasad Rath, Srinivasan Umesh:
A study on the influence of covariance adaptation on jacobian compensation in vocal tract length normalization. INTERSPEECH 2009: 584-587 - [c6]A. N. Harish, D. Rama Sanand, Srinivasan Umesh:
Characterizing speaker variability using spectral envelopes of vowel sounds. INTERSPEECH 2009: 1107-1110 - 2008
- [c5]D. Rama Sanand, Srinivasan Umesh:
Study of jacobian compensation using linear transformation of conventional MFCC for VTLN. INTERSPEECH 2008: 1233-1236 - [c4]P. T. Akhil, Shakti Prasad Rath, Srinivasan Umesh, D. Rama Sanand:
A computationally efficient approach to warp factor estimation in VTLN using EM algorithm and sufficient statistics. INTERSPEECH 2008: 1713-1716 - [c3]D. Rama Sanand, V. Balaji, Rani R. Sandhya, Srinivasan Umesh:
Use of spectral centre of gravity for generating speaker invariant features for automatic speech recognition. INTERSPEECH 2008: 2258-2261 - 2007
- [c2]Srinivasan Umesh, D. Rama Sanand, G. Praveen:
Speaker-Invariant Features for Automatic Speech Recognition. IJCAI 2007: 1738-1743 - [c1]D. Rama Sanand, D. Dinesh Kumar, Srinivasan Umesh:
Linear transformation approach to VTLN using dynamic frequency warping. INTERSPEECH 2007: 1138-1141
Coauthor Index
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