Search Results - "Fazel, Amin"

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  1. 1

    CAD-AEC: Context-Aware Deep Acoustic Echo Cancellation by Fazel, Amin, El-Khamy, Mostafa, Lee, Jungwon

    “…Deep-leaming based acoustic echo cancellation (AEC) methods have been shown to outperform the classical techniques. The main drawback of the learning-based AEC…”
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    Conference Proceeding
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    Sparse Auditory Reproducing Kernel (SPARK) Features for Noise-Robust Speech Recognition by Fazel, A., Chakrabartty, S.

    “…In this paper, we present a novel speech feature extraction algorithm based on a hierarchical combination of auditory similarity and pooling functions. The…”
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    Journal Article
  4. 4

    Far-field acoustic source localization and bearing estimation using Σ Δ learners by Gore, Amit, Fazel, Amin, Chakrabartty, Shantanu

    “…Localization of acoustic sources using miniature microphone arrays poses a significant challenge due to fundamental limitations imposed by the physics of sound…”
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    Journal Article
  5. 5

    Resolution Enhancement in S Learners for Superresolution Source Separation by Fazel, Amin, Gore, Amit, Chakrabartty, Shantanu

    Published in IEEE transactions on signal processing (01-03-2010)
    “…Many source separation algorithms fail to deliver robust performance when applied to signals recorded using high-density sensor arrays where the distance…”
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    Journal Article
  6. 6

    Resolution Enhancement in IL I Learners for Superresolution Source Separation by Fazel, Amin, Gore, Amit, Chakrabartty, Shantanu

    Published in IEEE transactions on signal processing (01-03-2010)
    “…Many source separation algorithms fail to deliver robust performance when applied to signals recorded using high-density sensor arrays where the distance…”
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    Journal Article
  7. 7

    Resolution Enhancement in [Formula Omitted] Learners for Superresolution Source Separation by Fazel, Amin, Gore, Amit, Chakrabartty, Shantanu

    Published in IEEE transactions on signal processing (01-03-2010)
    “…Many source separation algorithms fail to deliver robust performance when applied to signals recorded using high-density sensor arrays where the distance…”
    Get full text
    Journal Article
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    Far-Field Acoustic Source Localization and Bearing Estimation Using [Formula Omitted] Learners by Gore, Amit, Fazel, Amin, Chakrabartty, Shantanu

    “…Localization of acoustic sources using miniature microphone arrays poses a significant challenge due to fundamental limitations imposed by the physics of sound…”
    Get full text
    Journal Article
  10. 10

    Far-Field Acoustic Source Localization and Bearing Estimation Using capital sigma Delta Learners by Gore, Amit, Fazel, Amin, Chakrabartty, Shantanu

    “…Localization of acoustic sources using miniature microphone arrays poses a significant challenge due to fundamental limitations imposed by the physics of sound…”
    Get full text
    Journal Article
  11. 11

    Sparse kernel cepstral coefficients (SKCC): Inner-product based features for noise-robust speech recognition by Fazel, Amin, Chakrabartty, Shantanu

    “…In this paper we present a novel speech feature extraction algorithm based on sparse auditory coding and regression techniques in a reproducing kernel Hilbert…”
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    Conference Proceeding
  12. 12

    Resolution Enhancement in \Sigma\Delta Learners for Superresolution Source Separation by Fazel, A., Gore, A., Chakrabartty, S.

    Published in IEEE transactions on signal processing (01-03-2010)
    “…Many source separation algorithms fail to deliver robust performance when applied to signals recorded using high-density sensor arrays where the distance…”
    Get full text
    Journal Article
  13. 13

    Robust signal processing methods for miniature acoustic sensing, separation, and recognition by Fazel, Amin

    Published 01-01-2012
    “…One of several emerging areas where micro-scale integration promises significant breakthroughs is in the field of acoustic sensing. However, separation,…”
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    Dissertation
  14. 14

    Non-linear filtering in reproducing Kernel Hilbert Spaces for noise-robust speaker verification by Fazel, A., Chakrabartty, S.

    “…In this paper, we present a non-linear filtering approach for extracting noise-robust speech features that can be used in a speaker verification task. At the…”
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    Conference Proceeding
  15. 15

    SynthASR: Unlocking Synthetic Data for Speech Recognition by Fazel, Amin, Yang, Wei, Liu, Yulan, Barra-Chicote, Roberto, Meng, Yixiong, Maas, Roland, Droppo, Jasha

    Published 14-06-2021
    “…End-to-end (E2E) automatic speech recognition (ASR) models have recently demonstrated superior performance over the traditional hybrid ASR models. Training an…”
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    Journal Article
  16. 16

    Sigma-delta resolution enhancement for far-field acoustic source separation by Fazel, A., Chakrabartty, S.

    “…Many source separation algorithms fail to deliver robust performance when applied to signals recorded using high-density microphone arrays where distance…”
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    Conference Proceeding
  17. 17

    Sigma-delta learning for super-resolution independent component analysis by Fazel, Amin, Chakrabartty, Shantanu

    “…Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing…”
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    Conference Proceeding Journal Article
  18. 18

    Robust signal processing methods for miniature acoustic sensing, separation, and recognition by Fazel, Amin

    “…One of several emerging areas where micro-scale integration promises significant breakthroughs is in the field of acoustic sensing. However, separation,…”
    Get full text
    Dissertation
  19. 19

    Sigma-delta learning for super-resolution source separation on high-density microphone arrays by Fazel, A, Chakrabartty, S

    “…The performance of acoustic source separation algorithms significantly degrades when they applied to signals recorded using miniature microphone arrays where…”
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    Conference Proceeding
  20. 20

    Benchmarking TinyML Systems: Challenges and Direction by Banbury, Colby R, Reddi, Vijay Janapa, Lam, Max, Fu, William, Fazel, Amin, Holleman, Jeremy, Huang, Xinyuan, Hurtado, Robert, Kanter, David, Lokhmotov, Anton, Patterson, David, Pau, Danilo, Seo, Jae-sun, Sieracki, Jeff, Thakker, Urmish, Verhelst, Marian, Yadav, Poonam

    Published 10-03-2020
    “…Recent advancements in ultra-low-power machine learning (TinyML) hardware promises to unlock an entirely new class of smart applications. However, continued…”
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    Journal Article