Search Results - "Ritz, C H"

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  1. 1

    Speech enhancement via separation of sources from co-located microphone recordings by Shujau, M, Ritz, C H, Burnett, I S

    “…This paper investigates multichannel speech enhancement for colocated microphone recordings based on Independent Component Analysis (ICA). Comparisons are made…”
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    Conference Proceeding
  2. 2

    Mine-Like Object Sensing in Sonar Imagery with a Compact Deep Learning Architecture for Scarce Data by Phung, S. L., Nguyen, T. N. A., Le, H. T., Chapple, P. B., Ritz, C. H., Bouzerdoum, A., Tran, L. C.

    “…Detection of underwater mines is important for ensuring the safety of maritime routes. This paper presents a new approach for mine-like object sensing in sonar…”
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    Conference Proceeding
  3. 3

    Separation of speech sources using an Acoustic Vector Sensor by Shujau, M., Ritz, C. H., Burnett, I. S.

    “…This paper investigates how the directional characteristics of an Acoustic Vector Sensor (AVS) can be used to separate speech sources. The technique described…”
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    Conference Proceeding
  4. 4

    Using in-air Acoustic Vector Sensors for tracking moving speakers by Shujau, M, Ritz, C H, Burnett, I S

    “…This paper investigates the use of an Acoustic Vector Sensor (AVS) for tracking a moving speaker in real time through estimation of the Direction of Arrival…”
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    Conference Proceeding
  5. 5

    Robust speaker DOA estimation based on the inter-sensor data ratio model and binary mask estimation in the bispectrum domain by Yanhan Jin, Yuexian Zou, Ritz, C. H.

    “…When noise is directional instead of diffuse, the majority of conventional direction of arrival (DOA) estimation techniques suffer from performance degradation…”
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    Conference Proceeding
  6. 6

    Multimedia adaptation based on semantics from social network users interacting with media by Davis, S J, Cheng, E C, Burnett, I S, Ritz, C H

    “…A key goal of adaptive multimedia delivery is to provide users with content that maximizes their quality of experience. To achieve this goal, adaptive…”
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    Conference Proceeding
  7. 7

    Multisource DOA estimation based on time-frequency sparsity and joint inter-sensor data ratio with single acoustic vector sensor by Zou, Y. X., Wei Shi, Bo Li, Ritz, C. H., Shujau, M., Jiangtao Xi

    “…By exploring the time-frequency (TF) sparsity property of the speech, the inter-sensor data ratios (ISDRs) of single acoustic vector sensor (AVS) have been…”
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    Conference Proceeding
  8. 8

    Speech dereverberation based on Linear Prediction: An Acoustic Vector Sensor approach by Shujau, M., Ritz, C. H., Burnett, I. S.

    “…This paper introduces a dereverberation algorithm based on Linear Prediction (LP) applied to the outputs of an Acoustic Vector Sensor (AVS). The approach…”
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    Conference Proceeding
  9. 9

    Linear Predictive perceptual filtering for Acoustic Vector Sensors: Exploiting directional recordings for high quality speech enhancement by Shujau, M., Ritz, C. H., Burnett, I. S.

    “…This paper investigates the performance of a new technique for speech enhancement which combines Linear Predictive (LP) spectrum-based perceptual filtering to…”
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    Conference Proceeding
  10. 10

    Designing Acoustic Vector Sensors for localisation of sound sources in air by Shujau, M., Ritz, C. H., Burnett, I. S.

    “…This paper investigates the design and application of an Acoustic Vector Sensor (AVS), traditionally used for underwater applications, for localisation of…”
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    Conference Proceeding Journal Article
  11. 11

    Low bit rate wideband WI speech coding by Ritz, C.H., Burnett, I.S., Lukasiak, J.

    “…This paper investigates waveform interpolation (WI) applied low bit rate wideband speech coding. An analysis of the evolutionary behaviour of wideband…”
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    Conference Proceeding
  12. 12

    Keyword spotting based on the analysis of template matching distances by Barakat, M. S., Ritz, C. H., Stirling, D. A.

    “…This paper presents a system for speaker independent keyword spotting (KWS) in continuous speech using a spoken example template. The approach, based on…”
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    Conference Proceeding
  13. 13

    Temporal sentiment detection for user generated video product reviews by Barakat, M. S., Ritz, C. H., Stirling, D. A.

    “…User generated video product reviews in social media gaining popularity every day due to its creditability and the broad evaluation context provided by it…”
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    Conference Proceeding
  14. 14

    Detecting offensive user video blogs: An adaptive keyword spotting approach by Barakat, M. S., Ritz, C. H., Stirling, D. A.

    “…This paper proposes a speaker independent keyword spotting (KWS) approach applied to the audio track of user video blogs that can help in their automatic…”
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    Conference Proceeding
  15. 15

    Noise robust keyword spotting for user generated video blogs by Barakat, M. S., Ritz, C. H., Stirling, D. A.

    “…This paper presents a template-based system for speaker independent key word spotting (KWS) in continuous speech that can help in automatic analysis, indexing,…”
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    Conference Proceeding
  16. 16

    An Improved Template-Based Approach to Keyword Spotting Applied to the Spoken Content of User Generated Video Blogs by Barakat, M. S., Ritz, C. H., Stirling, D. A.

    “…This paper presents a new technique for preparing word templates to improve the performance of dynamic time warping based keyword spotting. The proposed…”
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    Conference Proceeding
  17. 17

    An effective target speech enhancement with single acoustic vector sensor based on the speech time-frequency sparsity by Zou, Y. X., Wang, Y. Q., Wang, Peng, Ritz, C. H., Jiangtao Xi

    “…This paper investigates the speech time-frequency (TF) sparsity together with the unique characteristics between the acoustic vector sensors (AVS) to formulate…”
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    Conference Proceeding
  18. 18

    An effective doa estimation by exploring the spatial sparse representation of the inter-sensor data ratio model by Yuexian Zou, Yifan Guo, Weiqiao Zheng, Ritz, C. H., Jiangtao Xi

    “…This paper investigates speaker direction of arrival (DOA) estimation using a single acoustic vector sensor (AVS). With the definition of the inter-sensor data…”
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    Conference Proceeding
  19. 19

    Limb-based feature description of human motion by Adistambha, K., Davis, S. J., Ritz, C. H., Stirling, D.

    “…This paper proposes a novel limb-based technique for semantic description of motion capture data. The goal is to create a motion segmentation and…”
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    Conference Proceeding
  20. 20

    Toward human motion search using fingerprinting by Adistambha, K., Davis, S., Ritz, C. H., Stirling, D., Burnett, I. S.

    “…This paper investigates a `fingerprinting' technique for describing human motion sequences. This work shows that human motion fingerprints can facilitate the…”
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    Conference Proceeding