@InProceedings{8553510,
  author = {I. López-Espejo and A. M. Peinado and A. M. Gomez and J. A. González and S. Prieto-Calero},
  booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
  title = {Dual-Channel VTS Feature Compensation with Improved Posterior Estimation},
  year = {2018},
  pages = {2065-2069},
  abstract = {The use of dual-microphones is a powerful tool for noise-robust automatic speech recognition (ASR). In particular, it allows the reformulation of classical techniques like vector Taylor series (VTS) feature compensation. In this work, we consider a critical issue of VTS compensation such as posterior computation and propose an alternative way to estimate more accurately these probabilities when VTS is applied to enhance noisy speech captured by dual-microphone mobile devices. Our proposal models the conditional dependence of a noisy secondary channel given a primary one not only to outperform single-channel VTS feature compensation, but also a previous dual-channel VTS approach based on a stacked formulation. This is confirmed by recognition experiments on two different dual-channel extensions of the Aurora-2 corpus. Such extensions emulate the use of a dual-microphone smartphone in close- and far-talk conditions, obtaining our proposal relevant improvements in the latter case.},
  keywords = {microphones;probability;series (mathematics);speech recognition;vector Taylor series;VTS compensation;posterior computation;noisy speech;dual-microphone mobile devices;noisy secondary channel;single-channel VTS;dual-channel VTS approach;dual-channel extensions;dual-microphone smartphone;proposal relevant improvements;dual-channel VTS feature compensation;improved posterior estimation;classical techniques;noise-robust automatic speech recognition;size 2.0 A;Hidden Markov models;Noise measurement;Distortion;Covariance matrices;Acoustics;Microphones;Mobile handsets;VTS feature compensation;Posterior probability;Robust ASR;Dual-channel;Mobile device},
  doi = {10.23919/EUSIPCO.2018.8553510},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570427585.pdf},
}

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