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Ruchir Travadi
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2020 – today
- 2024
- [c15]Zhihong Lei, Ernest Pusateri, Shiyi Han, Leo Liu, Mingbin Xu, Tim Ng, Ruchir Travadi, Youyuan Zhang, Mirko Hannemann, Man-Hung Siu, Zhen Huang:
Personalization of CTC-Based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization. ICASSP 2024: 10096-10100 - [c14]Roger Hsiao, Liuhui Deng, Erik McDermott, Ruchir Travadi, Xiaodan Zhuang:
Optimizing Byte-Level Representation For End-To-End ASR. SLT 2024: 462-467 - [i6]Roger Hsiao, Liuhui Deng, Erik McDermott, Ruchir Travadi, Xiaodan Zhuang:
Optimizing Byte-level Representation for End-to-end ASR. CoRR abs/2406.09676 (2024) - 2023
- [c13]Pawel Swietojanski, Stefan Braun, Dogan Can, Thiago Fraga da Silva, Arnab Ghoshal, Takaaki Hori, Roger Hsiao, Henry Mason, Erik McDermott, Honza Silovsky, Ruchir Travadi, Xiaodan Zhuang:
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition. ICASSP 2023: 1-5 - [i5]Zhihong Lei, Ernest Pusateri, Shiyi Han, Leo Liu, Mingbin Xu, Tim Ng, Ruchir Travadi, Youyuan Zhang, Mirko Hannemann, Man-Hung Siu, Zhen Huang:
Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization. CoRR abs/2310.09988 (2023) - 2022
- [i4]Pawel Swietojanski, Stefan Braun, Dogan Can, Thiago Fraga da Silva, Arnab Ghoshal, Takaaki Hori, Roger Hsiao, Henry Mason, Erik McDermott, Honza Silovsky, Ruchir Travadi, Xiaodan Zhuang:
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition. CoRR abs/2211.01438 (2022) - 2021
- [c12]Rajat Hebbar, Krishna Somandepalli, Raghuveer Peri, Ruchir Travadi, Tracy Tuplin, Fernando Rivera, Shrikanth Narayanan:
A Computational Tool to Study Vocal Participation of Women in UN-ITU Meetings. CBMI 2021: 1-4 - 2020
- [j4]Roger Hsiao
, Dogan Can, Tim Ng, Ruchir Travadi, Arnab Ghoshal:
Online Automatic Speech Recognition With Listen, Attend and Spell Model. IEEE Signal Process. Lett. 27: 1889-1893 (2020) - [i3]Roger Hsiao, Dogan Can, Tim Ng, Ruchir Travadi, Arnab Ghoshal:
Online Automatic Speech Recognition with Listen, Attend and Spell Model. CoRR abs/2008.05514 (2020)
2010 – 2019
- 2019
- [j3]Ruchir Travadi
, Shrikanth S. Narayanan:
Efficient estimation and model generalization for the totalvariability model. Comput. Speech Lang. 53: 43-64 (2019) - [j2]Ruchir Travadi
, Shrikanth S. Narayanan
:
Total Variability Layer in Deep Neural Network Embeddings for Speaker Verification. IEEE Signal Process. Lett. 26(6): 893-897 (2019) - [c11]Arindam Jati, Raghuveer Peri, Monisankha Pal, Tae Jin Park, Naveen Kumar, Ruchir Travadi, Panayiotis G. Georgiou, Shrikanth Narayanan:
Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech. INTERSPEECH 2019: 2463-2467 - [i2]Krishna Somandepalli, Naveen Kumar, Ruchir Travadi, Shrikanth S. Narayanan:
Multimodal Representation Learning using Deep Multiset Canonical Correlation. CoRR abs/1904.01775 (2019) - [i1]Kunal Dhawan, Colin Vaz, Ruchir Travadi, Shrikanth S. Narayanan:
Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features. CoRR abs/1907.06859 (2019) - 2018
- [c10]Manoj Kumar, Pavlos Papadopoulos, Ruchir Travadi, Daniel Bone, Shrikanth S. Narayanan:
Improving Semi-Supervised Classification for Low-Resource Speech Interaction Applications. ICASSP 2018: 5149-5153 - 2017
- [c9]Ruchir Travadi, Shrikanth S. Narayanan:
A Distribution Free Formulation of the Total Variability Model. INTERSPEECH 2017: 1576-1580 - [c8]Pavlos Papadopoulos, Ruchir Travadi, Colin Vaz, Nikolaos Malandrakis, Ulf Hermjakob, Nima Pourdamghani, Michael Pust, Boliang Zhang, Xiaoman Pan, Di Lu, Ying Lin, Ondrej Glembek, Murali Karthick Baskar, Martin Karafiát
, Lukás Burget
, Mark Hasegawa-Johnson, Heng Ji, Jonathan May
, Kevin Knight, Shrikanth S. Narayanan:
Team ELISA System for DARPA LORELEI Speech Evaluation 2016. INTERSPEECH 2017: 2053-2057 - [c7]Pavlos Papadopoulos, Ruchir Travadi, Shrikanth S. Narayanan:
Global SNR Estimation of Speech Signals for Unknown Noise Conditions Using Noise Adapted Non-Linear Regression. INTERSPEECH 2017: 3842-3846 - 2016
- [c6]Brandon M. Booth, Rahul Gupta, Pavlos Papadopoulos, Ruchir Travadi, Shrikanth S. Narayanan:
Automatic Estimation of Perceived Sincerity from Spoken Language. INTERSPEECH 2016: 2021-2025 - [c5]Ruchir Travadi, Shrikanth S. Narayanan:
Non-Iterative Parameter Estimation for Total Variability Model Using Randomized Singular Value Decomposition. INTERSPEECH 2016: 3221-3225 - 2015
- [j1]Maarten Van Segbroeck, Ruchir Travadi, Shrikanth S. Narayanan:
Rapid Language Identification. IEEE ACM Trans. Audio Speech Lang. Process. 23(7): 1118-1129 (2015) - [c4]Ruchir Travadi, Shrikanth S. Narayanan:
Ensemble of Gaussian mixture localized neural networks with application to phone recognition. INTERSPEECH 2015: 1903-1907 - 2014
- [c3]Maarten Van Segbroeck, Ruchir Travadi, Colin Vaz, Jangwon Kim, Matthew P. Black, Alexandros Potamianos, Shrikanth S. Narayanan:
Classification of cognitive load from speech using an i-vector framework. INTERSPEECH 2014: 751-755 - [c2]Maarten Van Segbroeck, Ruchir Travadi, Shrikanth S. Narayanan:
UBM fused total variability modeling for language identification. INTERSPEECH 2014: 3027-3031 - [c1]Ruchir Travadi, Maarten Van Segbroeck, Shrikanth S. Narayanan:
Modified-prior i-vector estimation for language identification of short duration utterances. INTERSPEECH 2014: 3037-3041
Coauthor Index

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