Search Results - "Nickel, R. M."

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  1. 1

    Speech Enhancement With Inventory Style Speech Resynthesis by Xiao, X, Nickel, R M

    “…We present a new method for the enhancement of speech. The method is designed for scenarios in which targeted speaker enrollment as well as system training…”
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    Journal Article
  2. 2

    Fault tolerant Fermat Number Transform domain adaptive filters based on modulus replication RNS architectures by Radhakrishnan, C, Jenkins, W K, Raza, Z, Nickel, R M

    “…In previous work it was shown that a combination of Fermat Number Transform (FNT) domain block processing and polynomial ring theory provides computationally…”
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    Conference Proceeding
  3. 3

    Corpus-Based Speech Enhancement With Uncertainty Modeling and Cepstral Smoothing by Nickel, R. M., Astudillo, R. F., Kolossa, D., Martin, R.

    “…We present a new approach for corpus-based speech enhancement that significantly improves over a method published by Xiao and Nickel in 2010. Corpus-based…”
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    Journal Article
  4. 4

    Optimal pitch bases expansions in speech signal processing by Nickel, R.M., Oswal, S.P.

    “…A new method that improves the accuracy of text dependent speaker verification systems is presented in this paper. The new method exploits a set of novel…”
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    Conference Proceeding
  5. 5

    Robust speaker verification with principal pitch components by Nickel, R. M., Oswal, S. P., Iyer, A. N.

    “…We are presenting a new method that improves the accuracy of text dependent speaker identification systems. The new method exploits a set of novel speech…”
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    Conference Proceeding Journal Article
  6. 6

    Inventory-style speech enhancement with uncertainty-of-observation techniques by Nickel, R. M., Astudillo, R. F., Kolossa, D., Zeiler, S., Martin, R.

    “…We present a new method for inventory-style speech enhancement that significantly improves over earlier approaches [1]. Inventory-style enhancement attempts to…”
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    Conference Proceeding
  7. 7

    Blind Multichannel System Identification with Applications in Speech Signal Processing by Nickel, R.M.

    “…We are presenting a new approach for blind multichannel system identification. The approach relies on the existence of so called exclusive activity periods…”
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    Conference Proceeding
  8. 8

    On local time–frequency features of speech and their employment in speaker verification by Nickel, Robert M., Williams, William J.

    Published in Journal of the Franklin Institute (01-07-2000)
    “…Commonly used robust speaker verification systems 1 1 We are only concerned about text-dependent verification with cooperative speakers in a low-noise…”
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    Journal Article
  9. 9

    A new signal adaptive approach to positive time-frequency distributions with suppressed interference terms by Nickel, R.M., Tzu-Hsien Sang, Williams, W.J.

    “…Quadratic time varying-spectral analysis methods that achieve a high resolution jointly in time and frequency generally suffer from interference terms that…”
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    Conference Proceeding
  10. 10

    High resolution frequency tracking via non-negative time-frequency distributions by Nickel, R.M., Williams, W.J.

    “…A new method for frequency tracking is presented. It combines high resolution time-frequency analysis with the discriminative power of a multiple signal…”
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    Conference Proceeding
  11. 11

    Using the time frequency structure of pitch periods to improve speaker verification systems by Nickel, R.M., Williams, W.J.

    “…Commonly used robust speaker verification systems are based on time-varying autoregressive spectral estimation (AR) combined with hidden Markov modeling (HMM)…”
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    Conference Proceeding