Roland Maas

According to our database1, Roland Maas authored at least 49 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Wav2vec-C: A Self-supervised Model for Speech Representation Learning.
CoRR, 2021

Streaming ResLSTM with Causal Mean Aggregation for Device-Directed Utterance Detection.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

2020
REDAT: Accent-Invariant Representation for End-to-End ASR by Domain Adversarial Training with Relabeling.
CoRR, 2020

Streaming End-to-End Bilingual ASR Systems with Joint Language Identification.
CoRR, 2020

Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition.
CoRR, 2020

Streaming Language Identification using Combination of Acoustic Representations and ASR Hypotheses.
CoRR, 2020


Efficient Minimum Word Error Rate Training of RNN-Transducer for End-to-End Speech Recognition.
Proceedings of the Interspeech 2020, 2020

2019
Improving ASR Confidence Scores for Alexa Using Acoustic and Hypothesis Embeddings.
Proceedings of the Interspeech 2019, 2019

A Study for Improving Device-Directed Speech Detection Toward Frictionless Human-Machine Interaction.
Proceedings of the Interspeech 2019, 2019

Improving Noise Robustness of Automatic Speech Recognition via Parallel Data and Teacher-student Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Estimating Parameters of Nonlinear Systems Using the Elitist Particle Filter Based on Evolutionary Strategies.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

LSTM-Based Whisper Detection.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Device-directed Utterance Detection.
Proceedings of the Interspeech 2018, 2018

Combining Acoustic Embeddings and Decoding Features for End-of-Utterance Detection in Real-Time Far-Field Speech Recognition Systems.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Domain-Specific Utterance End-Point Detection for Speech Recognition.
Proceedings of the Interspeech 2017, 2017

Robust Speech Recognition via Anchor Word Representations.
Proceedings of the Interspeech 2017, 2017

The REVERB Challenge: A Benchmark Task for Reverberation-Robust ASR Techniques.
Proceedings of the New Era for Robust Speech Recognition, Exploiting Deep Learning., 2017

2016
Uncertainty Decoding for Reverberation-Robust Automatic Speech Recognition.
PhD thesis, 2016

A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research.
EURASIP J. Adv. Signal Process., 2016

Anchored Speech Detection.
Proceedings of the Interspeech 2016, 2016

A new uncertainty decoding scheme for DNN-HMM hybrid systems with multichannel speech enhancement.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
The NLMS Algorithm with Time-Variant Optimum Stepsize Derived from a Bayesian Network Perspective.
IEEE Signal Process. Lett., 2015

A Bayesian view on acoustic model-based techniques for robust speech recognition.
EURASIP J. Adv. Signal Process., 2015

A Bayesian network approach to linear and nonlinear acoustic echo cancellation.
EURASIP J. Adv. Signal Process., 2015

Multizone sound field synthesis based on the joint optimization of the sound pressure and particle velocity vector on closed contours.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Uncertainty decoding for DNN-HMM hybrid systems based on numerical sampling.
Proceedings of the INTERSPEECH 2015, 2015

Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Efficient training of acoustic models for reverberation-robust medium-vocabulary automatic speech recognition.
Proceedings of the 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 2014

The significance-aware EPFES to estimate a memoryless preprocessor for nonlinear acoustic echo cancellation.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

A Bayesian network viewon linear and nonlinear acoustic echo cancellation.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

On Bayesian Networks in Speech Signal Processing.
Proceedings of the 11th ITG Symposium on Speech Communication, 2014

2013
A stereophonic acoustic signal extraction scheme for noisy and reverberant environments.
Comput. Speech Lang., 2013

A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition.
CoRR, 2013

The reverb challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Conditional emission densities for combining speech enhancement and recognition systems.
Proceedings of the INTERSPEECH 2013, 2013

Formulation of the REMOS concept from an uncertainty decoding perspective.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

An uncertainty decoding approach to noise- and reverberation-robust speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Making Machines Understand Us in Reverberant Rooms: Robustness Against Reverberation for Automatic Speech Recognition.
IEEE Signal Process. Mag., 2012

On the application of reverberation suppression to robust speech recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Combined-order hidden Markov models for reverberation-robust speech recognition.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Survey on approaches to speech recognition in reverberant environments.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011
Frame-wise HMM adaptation using state-dependent reverberation estimates.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Reverberation Model-Based Decoding in the Logmelspec Domain for Robust Distant-Talking Speech Recognition.
IEEE Trans. Speech Audio Process., 2010

A novel approach for matched reverberant training of HMMs using data pairs.
Proceedings of the INTERSPEECH 2010, 2010

Model-based dereverberation in the logmelspec domain for robust distant-talking speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010

A highly efficient optimization scheme for REMOS-based distant-talking speech recognition.
Proceedings of the 18th European Signal Processing Conference, 2010

Multi-Style Reverberation Models and Efficient Model Adaptation for Robust Distant-Talking Speech Recognition with REMOS.
Proceedings of the 9. ITG-Fachtagung Sprachkommunikation 2010, 2010


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