35 citations · 72 across the 6 of their papers we have counts for
7 papers
An improved uncertainty decoding scheme with weighted samples for DNN-HMM hybrid systems
Christian Huemmer, Ramón Fernández Astudillo, Walter Kellermann
In this paper, we advance a recently-proposed uncertainty decoding scheme for DNN-HMM (deep neural network - hidden Markov model) hybrid systems. This numerical sampling concept av…
Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies
Christian Huemmer, Christian Hofmann, Roland Maas +1
In this article, we present the elitist particle filter based on evolutionary strategies (EPFES) as an efficient approach for nonlinear system identification. The EPFES is derived…
Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments
Hendrik Barfuss, Christian Huemmer, Andreas Schwarz +1
Speech recognition in adverse real-world environments is highly affected by reverberation and nonstationary background noise. A well-known strategy to reduce such undesired signal…
Robust coherence-based spectral enhancement for distant speech recognition
Hendrik Barfuss, Christian Huemmer, Andreas Schwarz +1
In this contribution to the 3rd CHiME Speech Separation and Recognition Challenge (CHiME-3) we extend the acoustic front-end of the CHiME-3 baseline speech recognition system by a…
The NLMS algorithm with time-variant optimum stepsize derived from a Bayesian network perspective
Christian Huemmer, Roland Maas, Walter Kellermann
In this article, we derive a new stepsize adaptation for the normalized least mean square algorithm (NLMS) by describing the task of linear acoustic echo cancellation from a Bayesi…
Spatial Diffuseness Features for DNN-Based Speech Recognition in Noisy and Reverberant Environments
Andreas Schwarz, Christian Huemmer, Roland Maas +1
We propose a spatial diffuseness feature for deep neural network (DNN)-based automatic speech recognition to improve recognition accuracy in reverberant and noisy environments. The…
A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition
Roland Maas, Christian Huemmer, Armin Sehr +1
This article provides a unifying Bayesian network view on various approaches for acoustic model adaptation, missing feature, and uncertainty decoding that are well-known in the lit…