@InProceedings{8081269,
  author = {I. Rodomagoulakis and P. Maragos},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {On the improvement of modulation features using multi-microphone energy tracking for robust distant speech recognition},
  year = {2017},
  pages = {558-562},
  abstract = {In this work, we investigate robust speech energy estimation and tracking schemes aiming at improved energy-based multiband speech demodulation and feature extraction for multi-microphone distant speech recognition. Based on the spatial diversity of the speech and noise recordings of a multi-microphone setup, the proposed Multichannel, Multiband Demodulation (MMD) scheme includes: 1) energy selection across the microphones that are less affected by noise and 2) cross-signal energy estimation based on the cross-Teager energy operator. Instantaneous modulations of speech resonances are estimated on the denoised energies. Second-order frequency modulation features are measured and combined with MFCCs achieving improved distant speech recognition on simulated and real data recorded in noisy and reverberant domestic environments.},
  keywords = {array signal processing;demodulation;feature extraction;microphone arrays;speech recognition;feature extraction;multimicrophone distant speech recognition;cross-signal energy estimation;cross-Teager energy operator;second-order frequency modulation features;multimicrophone energy tracking;robust distant speech recognition;robust speech energy estimation;energy based multiband speech demodulation;speech resonances estimation;energy denoising;Speech;Feature extraction;Microphones;Noise measurement;Demodulation;Robustness},
  doi = {10.23919/EUSIPCO.2017.8081269},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570347597.pdf},
}

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Based on the spatial diversity of the speech and noise recordings of a multi-microphone setup, the proposed Multichannel, Multiband Demodulation (MMD) scheme includes: 1) energy selection across the microphones that are less affected by noise and 2) cross-signal energy estimation based on the cross-Teager energy operator. Instantaneous modulations of speech resonances are estimated on the denoised energies. 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Maragos},\n booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},\n title = {On the improvement of modulation features using multi-microphone energy tracking for robust distant speech recognition},\n year = {2017},\n pages = {558-562},\n abstract = {In this work, we investigate robust speech energy estimation and tracking schemes aiming at improved energy-based multiband speech demodulation and feature extraction for multi-microphone distant speech recognition. Based on the spatial diversity of the speech and noise recordings of a multi-microphone setup, the proposed Multichannel, Multiband Demodulation (MMD) scheme includes: 1) energy selection across the microphones that are less affected by noise and 2) cross-signal energy estimation based on the cross-Teager energy operator. Instantaneous modulations of speech resonances are estimated on the denoised energies. 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