Handling convolutional noise in missing data automatic speech recognition. - Maarten Van Segbroeck; Hugo Van hamme (INTERSPEECH, 2006)

Vector-quantization based mask estimation for missing data automatic speech recognition. - Maarten Van Segbroeck; Hugo Van hamme (INTERSPEECH, 2007)

Robust speech recognition using missing data techniques in the prospect domain and fuzzy masks. - Maarten Van Segbroeck; Hugo Van hamme (ICASSP, 2008)

Application of noise robust MDT speech recognition on the SPEECON and speechdat-car databases. - Jort F. Gemmeke; Yujun Wang; Maarten Van Segbroeck; Bert Cranen; Hugo Van hamme (INTERSPEECH, 2009)

Applying non-negative matrix factorization on time-frequency reassignment spectra for missing data mask estimation. - Maarten Van Segbroeck; Hugo Van hamme (INTERSPEECH, 2009)

Unsupervised learning of time-frequency patches as a noise-robust representation of speech. - Maarten Van Segbroeck; Hugo Van hamme (Speech Commun., 2009)

Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data. - Jort F. Gemmeke; Maarten Van Segbroeck; Yujun Wang; Bert Cranen; Hugo Van hamme (Robust Speech Recognition of Uncertain or Missing Data, 2011)

Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition. - Maarten Van Segbroeck; Hugo Van hamme (IEEE Trans. Speech Audio Process., 2011)

A reranking approach for recognition and classification of speech input in conversational dialogue systems. - Fabrizio Morbini; Kartik Audhkhasi; Ron Artstein; Maarten Van Segbroeck; Kenji Sagae; Panayiotis G. Georgiou; David R. Traum; Shrikanth S. Narayanan (SLT, 2012)

Speaker verification using simplified and supervised i-vector modeling. - Ming Li 026; Andreas Tsiartas; Maarten Van Segbroeck; Shrikanth S. Narayanan (ICASSP, 2013)

A robust frontend for ASR: Combining denoising, noise masking and feature normalization. - Maarten Van Segbroeck; Shrikanth S. Narayanan (ICASSP, 2013)

Classifying language-related developmental disorders from speech cues: the promise and the potential confounds. - Daniel Bone; Theodora Chaspari; Kartik Audhkhasi; James Gibson; Andreas Tsiartas; Maarten Van Segbroeck; Ming Li 026; Sungbok Lee; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Spectro-temporal directional derivative features for automatic speech recognition. - James Gibson; Maarten Van Segbroeck; Antonio Ortega; Panayiotis G. Georgiou; Shrikanth S. Narayanan (INTERSPEECH, 2013)

A robust frontend for VAD: exploiting contextual, discriminative and spectral cues of human voice. - Maarten Van Segbroeck; Andreas Tsiartas; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Multi-band long-term signal variability features for robust voice activity detection. - Andreas Tsiartas; Theodora Chaspari; Nassos Katsamanis; Prasanta Kumar Ghosh; Ming Li 026; Maarten Van Segbroeck; Alexandros Potamianos; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Fusion of diverse denoising systems for robust automatic speech recognition. - Naveen Kumar 004; Maarten Van Segbroeck; Kartik Audhkhasi; Peter Drotár; Shrikanth S. Narayanan (ICASSP, 2014)

Robust language identification using convolutional neural network features. - Sriram Ganapathy; Kyu Jeong Han; Samuel Thomas 001; Mohamed Kamal Omar; Maarten Van Segbroeck; Shrikanth S. Narayanan (INTERSPEECH, 2014)

Comparing time-frequency representations for directional derivative features. - James Gibson; Maarten Van Segbroeck; Shrikanth S. Narayanan (INTERSPEECH, 2014)

UBM fused total variability modeling for language identification. - Maarten Van Segbroeck; Ruchir Travadi; Shrikanth S. Narayanan (INTERSPEECH, 2014)

Classification of cognitive load from speech using an i-vector framework. - Maarten Van Segbroeck; Ruchir Travadi; Colin Vaz; Jangwon Kim; Matthew P. Black; Alexandros Potamianos; Shrikanth S. Narayanan (INTERSPEECH, 2014)

Modified-prior i-vector estimation for language identification of short duration utterances. - Ruchir Travadi; Maarten Van Segbroeck; Shrikanth S. Narayanan (INTERSPEECH, 2014)

Modeling therapist empathy through prosody in drug addiction counseling. - Bo Xiao 003; Daniel Bone; Maarten Van Segbroeck; Zac E. Imel; David C. Atkins; Panayiotis G. Georgiou; Shrikanth S. Narayanan (INTERSPEECH, 2014)

Affective Feature Design and Predicting Continuous Affective Dimensions from Music. - Naveen Kumar 004; Rahul Gupta 001; Tanaya Guha; Colin Vaz; Maarten Van Segbroeck; Jangwon Kim; Shrikanth S. Narayanan (MediaEval, 2014)

Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions. - Rahul Gupta 001; Nikolaos Malandrakis; Bo Xiao 003; Tanaya Guha; Maarten Van Segbroeck; Matthew Black; Alexandros Potamianos; Shrikanth S. Narayanan (AVEC@MM, 2014)

Improvements to the IBM speech activity detection system for the DARPA RATS program. - Samuel Thomas 001; George Saon; Maarten Van Segbroeck; Shrikanth S. Narayanan (ICASSP, 2015)

Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales. - Matthew P. Black; Daniel Bone; Zisis Iason Skordilis; Rahul Gupta 001; Wei Xia; Pavlos Papadopoulos; Sandeep Nallan Chakravarthula; Bo Xiao 003; Maarten Van Segbroeck; Jangwon Kim; Panayiotis G. Georgiou; Shrikanth S. Narayanan (INTERSPEECH, 2015)

Automatic estimation of parkinson's disease severity from diverse speech tasks. - Jangwon Kim; Md. Nasir; Rahul Gupta 001; Maarten Van Segbroeck; Daniel Bone; Matthew P. Black; Zisis Iason Skordilis; Zhaojun Yang; Panayiotis G. Georgiou; Shrikanth S. Narayanan (INTERSPEECH, 2015)

Rapid Language Identification. - Maarten Van Segbroeck; Ruchir Travadi; Shrikanth S. Narayanan (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categories. - Vikram Ramanarayanan; Maarten Van Segbroeck; Shrikanth S. Narayanan (Comput. Speech Lang., 2016)

Efficient Minimum Word Error Rate Training of RNN-Transducer for End-to-End Speech Recognition. - Jinxi Guo; Gautam Tiwari; Jasha Droppo; Maarten Van Segbroeck; Che-Wei Huang; Andreas Stolcke; Roland Maas (INTERSPEECH, 2020)

DiPCo - Dinner Party Corpus. - Maarten Van Segbroeck; Ahmed Zaid; Ksenia Kutsenko; Cirenia Huerta; Tinh Nguyen; Xuewen Luo; Björn Hoffmeister; Jan Trmal; Maurizio Omologo; Roland Maas (INTERSPEECH, 2020)

Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition. - Maarten Van Segbroeck; Sri Harish Mallidi; Brian John King; I-Fan Chen; Gurpreet Chadha; Roland Maas (CoRR, 2020)

Transformer-Based Bioacoustic Sound Event Detection on Few-Shot Learning Tasks. - Liwen You; Erika Pelaez Coyotl; Suren Gunturu; Maarten Van Segbroeck (ICASSP, 2023)

Personalized Predictive ASR for Latency Reduction in Voice Assistants. - Andreas Schwarz; Di He 004; Maarten Van Segbroeck; Mohammed Hethnawi; Ariya Rastrow (INTERSPEECH, 2023)

Towards Best Practices for Open Datasets for LLM Training. - Stefan Baack; Stella Biderman; Kasia Odrozek; Aviya Skowron; Ayah Bdeir; Jillian Bommarito; Jennifer Ding; Maximilian Gahntz; Paul Keller; Pierre-Carl Langlais; Greg Lindahl; Sebastian Majstorovic; et al. (CoRR, 2025)