Maarten Van Segbroeck - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 33 from 33

2023

Personalized Predictive ASR for Latency Reduction in Voice AssistantsAndreas Schwarz, Di He 0004, Maarten Van Segbroeck, Mohammed Hethnawi, Ariya Rastrow. interspeech 2023: 745-749 [doi]

Transformer-Based Bioacoustic Sound Event Detection on Few-Shot Learning TasksLiwen You, Erika Pelaez Coyotl, Suren Gunturu, Maarten Van Segbroeck. icassp 2023: 1-5 [doi]

2020

2016

Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categoriesVikram Ramanarayanan, Maarten Van Segbroeck, Shrikanth S. Narayanan. csl, 36:330-346, 2016. [doi]

2015

Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scalesMatthew P. Black, Daniel Bone, Zisis Iason Skordilis, Rahul Gupta, Wei Xia, Pavlos Papadopoulos, Sandeep Nallan Chakravarthula, Bo Xiao, Maarten Van Segbroeck, Jangwon Kim, Panayiotis G. Georgiou, Shrikanth S. Narayanan. interspeech 2015: 493-497 [doi]

Automatic estimation of parkinson's disease severity from diverse speech tasksJangwon Kim, Md. Nasir, Rahul Gupta, Maarten Van Segbroeck, Daniel Bone, Matthew P. Black, Zisis Iason Skordilis, Zhaojun Yang, Panayiotis G. Georgiou, Shrikanth S. Narayanan. interspeech 2015: 914-918 [doi]

Rapid Language IdentificationMaarten Van Segbroeck, Ruchir Travadi, Shrikanth S. Narayanan. taslp, 23(7):1118-1129, 2015. [doi]

Improvements to the IBM speech activity detection system for the DARPA RATS programSamuel Thomas, George Saon, Maarten Van Segbroeck, Shrikanth S. Narayanan. icassp 2015: 4500-4504 [doi]

2014

Fusion of diverse denoising systems for robust automatic speech recognitionNaveen Kumar 0004, Maarten Van Segbroeck, Kartik Audhkhasi, Peter Drotár, Shrikanth S. Narayanan. icassp 2014: 5557-5561 [doi]

Affective Feature Design and Predicting Continuous Affective Dimensions from MusicNaveen Kumar 0004, Rahul Gupta, Tanaya Guha, Colin Vaz, Maarten Van Segbroeck, Jangwon Kim, Shrikanth S. Narayanan. mediaeval 2014:

Robust language identification using convolutional neural network featuresSriram Ganapathy, Kyu Jeong Han, Samuel Thomas, Mohamed Kamal Omar, Maarten Van Segbroeck, Shrikanth S. Narayanan. interspeech 2014: 1846-1850 [doi]

Comparing time-frequency representations for directional derivative featuresJames Gibson, Maarten Van Segbroeck, Shrikanth S. Narayanan. interspeech 2014: 612-615 [doi]

Multimodal Prediction of Affective Dimensions and Depression in Human-Computer InteractionsRahul Gupta, Nikolaos Malandrakis, Bo Xiao, Tanaya Guha, Maarten Van Segbroeck, Matthew Black, Alexandros Potamianos, Shrikanth S. Narayanan. mm 2014: 33-40 [doi]

UBM fused total variability modeling for language identificationMaarten Van Segbroeck, Ruchir Travadi, Shrikanth S. Narayanan. interspeech 2014: 3027-3031 [doi]

Classification of cognitive load from speech using an i-vector frameworkMaarten Van Segbroeck, Ruchir Travadi, Colin Vaz, Jangwon Kim, Matthew P. Black, Alexandros Potamianos, Shrikanth S. Narayanan. interspeech 2014: 751-755 [doi]

Modified-prior i-vector estimation for language identification of short duration utterancesRuchir Travadi, Maarten Van Segbroeck, Shrikanth S. Narayanan. interspeech 2014: 3037-3041 [doi]

Modeling therapist empathy through prosody in drug addiction counselingBo Xiao, Daniel Bone, Maarten Van Segbroeck, Zac E. Imel, David C. Atkins, Panayiotis G. Georgiou, Shrikanth S. Narayanan. interspeech 2014: 213-217 [doi]

2013

Classifying language-related developmental disorders from speech cues: the promise and the potential confoundsDaniel Bone, Theodora Chaspari, Kartik Audhkhasi, James Gibson, Andreas Tsiartas, Maarten Van Segbroeck, Ming Li, Sungbok Lee, Shrikanth Narayanan. interspeech 2013: 182-186 [doi]

Spectro-temporal directional derivative features for automatic speech recognitionJames Gibson, Maarten Van Segbroeck, Antonio Ortega, Panayiotis G. Georgiou, Shrikanth Narayanan. interspeech 2013: 872-875 [doi]

Speaker verification using simplified and supervised i-vector modelingMing Li, Andreas Tsiartas, Maarten Van Segbroeck, Shrikanth S. Narayanan. icassp 2013: 7199-7203 [doi]

A robust frontend for ASR: Combining denoising, noise masking and feature normalizationMaarten Van Segbroeck, Shrikanth S. Narayanan. icassp 2013: 7097-7101 [doi]

A robust frontend for VAD: exploiting contextual, discriminative and spectral cues of human voiceMaarten Van Segbroeck, Andreas Tsiartas, Shrikanth Narayanan. interspeech 2013: 704-708 [doi]

Multi-band long-term signal variability features for robust voice activity detectionAndreas Tsiartas, Theodora Chaspari, Nassos Katsamanis, Prasanta Kumar Ghosh, Ming Li, Maarten Van Segbroeck, Alexandros Potamianos, Shrikanth Narayanan. interspeech 2013: 718-722 [doi]

2012

A reranking approach for recognition and classification of speech input in conversational dialogue systemsFabrizio Morbini, Kartik Audhkhasi, Ron Artstein, Maarten Van Segbroeck, Kenji Sagae, Panayiotis G. Georgiou, David R. Traum, Shrikanth S. Narayanan. slt 2012: 49-54 [doi]

2011

Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World DataJort F. Gemmeke, Maarten Van Segbroeck, Yujun Wang, Bert Cranen, Hugo Van Hamme. In Dorothea Kolossa, Reinhold Haeb-Umbach, editors, Robust Speech Recognition of Uncertain or Missing Data - Theory and Applications. pages 157-185, Springer, 2011. [doi]

Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech RecognitionMaarten Van Segbroeck, Hugo Van Hamme. taslp, 19(1):123-137, 2011. [doi]

2009

Application of noise robust MDT speech recognition on the SPEECON and speechdat-car databasesJort F. Gemmeke, Yujun Wang, Maarten Van Segbroeck, Bert Cranen, Hugo Van Hamme. interspeech 2009: 1227-1230 [doi]

Applying non-negative matrix factorization on time-frequency reassignment spectra for missing data mask estimationMaarten Van Segbroeck, Hugo Van Hamme. interspeech 2009: 2511-2514 [doi]

Unsupervised learning of time-frequency patches as a noise-robust representation of speechMaarten Van Segbroeck, Hugo Van Hamme. speech, 51(11):1124-1138, 2009. [doi]

2008

Robust speech recognition using missing data techniques in the prospect domain and fuzzy masksMaarten Van Segbroeck, Hugo Van Hamme. icassp 2008: 4393-4396 [doi]

2007

Vector-quantization based mask estimation for missing data automatic speech recognitionMaarten Van Segbroeck, Hugo Van Hamme. interspeech 2007: 910-913 [doi]

2006

Handling convolutional noise in missing data automatic speech recognitionMaarten Van Segbroeck, Hugo Van Hamme. interspeech 2006: [doi]

All Publications

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag
OR AND NOT 1

Filter by Venue
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'Maarten Van Segbroeck'

Viewing Publication 1 - 33 from 33

2023

2020

2016

2015

2014

2013

2012

2011

2009

2008

2007

2006

All Publications

Filter by YearOR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by TagOR AND NOT 1

Filter by VenueOR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'Maarten Van Segbroeck'

Viewing Publication 1 - 33 from 33

2023

2020

2016

2015

2014

2013

2012

2011

2009

2008

2007

2006

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag
OR AND NOT 1

Filter by Venue
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1