---
res:
  bibo_abstract:
  - Signal dereverberation using the Weighted Prediction Error (WPE) method has been
    proven to be an effective means to raise the accuracy of far-field speech recognition.
    First proposed as an iterative algorithm, follow-up works have reformulated it
    as a recursive least squares algorithm and therefore enabled its use in online
    applications. For this algorithm, the estimation of the power spectral density
    (PSD) of the anechoic signal plays an important role and strongly influences its
    performance. Recently, we showed that using a neural network PSD estimator leads
    to improved performance for online automatic speech recognition. This, however,
    comes at a price. To train the network, we require parallel data, i.e., utterances
    simultaneously available in clean and reverberated form. Here we propose to overcome
    this limitation by training the network jointly with the acoustic model of the
    speech recognizer. To be specific, the gradients computed from the cross-entropy
    loss between the target senone sequence and the acoustic model network output
    is backpropagated through the complex-valued dereverberation filter estimation
    to the neural network for PSD estimation. Evaluation on two databases demonstrates
    improved performance for on-line processing scenarios while imposing fewer requirements
    on the available training data and thus widening the range of applications.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jahn
      foaf_name: Heymann, Jahn
      foaf_surname: Heymann
      foaf_workInfoHomepage: http://www.librecat.org/personId=9168
  - foaf_Person:
      foaf_givenName: Lukas
      foaf_name: Drude, Lukas
      foaf_surname: Drude
      foaf_workInfoHomepage: http://www.librecat.org/personId=11213
  - foaf_Person:
      foaf_givenName: Reinhold
      foaf_name: Haeb-Umbach, Reinhold
      foaf_surname: Haeb-Umbach
      foaf_workInfoHomepage: http://www.librecat.org/personId=242
  - foaf_Person:
      foaf_givenName: Keisuke
      foaf_name: Kinoshita, Keisuke
      foaf_surname: Kinoshita
  - foaf_Person:
      foaf_givenName: Tomohiro
      foaf_name: Nakatani, Tomohiro
      foaf_surname: Nakatani
  dct_date: 2019^xs_gYear
  dct_language: eng
  dct_title: Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic
    Model for Robust Online ASR@
...