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Audio and Acoustic Signal Processing

On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features


Individualization of head-related transfer functions (HRTFs) can be realized using the person’s anthropometry with a pre-trained model. This model usually establishes a direct linear or non-linear mapping from anthropometry to HRTFs in the training database. Due to the complex relation between anthropometry and HRTFs, the accuracy of this model depends heavily on the correct selection of the anthropometric features.

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Authors:
Ee Leng Tan
Submitted On:
23 February 2016 - 1:43pm
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ICASSP15_On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features.pdf

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[1] Ee Leng Tan, "On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/170. Accessed: Dec. 18, 2017.
@article{170-15,
url = {http://sigport.org/170},
author = {Ee Leng Tan },
publisher = {IEEE SigPort},
title = {On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features},
year = {2015} }
TY - EJOUR
T1 - On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features
AU - Ee Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/170
ER -
Ee Leng Tan. (2015). On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features. IEEE SigPort. http://sigport.org/170
Ee Leng Tan, 2015. On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features. Available at: http://sigport.org/170.
Ee Leng Tan. (2015). "On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features." Web.
1. Ee Leng Tan. On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/170

Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (slides)


In spatial audio analysis-synthesis, one of the key issues is to decompose a signal into primary and ambient components based on their spatial features. Principal component analysis (PCA) has been widely employed in primary component extraction, and shifted PCA (SPCA) is employed to enhance the primary extraction for input signals involving the inter-channel time difference. However, SPCA generally requires the primary components to come from one direction and cannot produce good results in the case of multiple directions.

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23 February 2016 - 1:43pm
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ICASSP15ppt_Multi-Shift PCA based PAE_JJ_13Apr15.pptx

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[1] , "Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (slides)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/169. Accessed: Dec. 18, 2017.
@article{169-15,
url = {http://sigport.org/169},
author = { },
publisher = {IEEE SigPort},
title = {Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (slides)},
year = {2015} }
TY - EJOUR
T1 - Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (slides)
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/169
ER -
. (2015). Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (slides). IEEE SigPort. http://sigport.org/169
, 2015. Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (slides). Available at: http://sigport.org/169.
. (2015). "Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (slides)." Web.
1. . Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (slides) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/169

Multi-shift principal component analysis based primary component extraction for spatial audio reproduction


In spatial audio analysis-synthesis, one of the key issues is to decompose a signal into primary and ambient components based on their spatial features. Principal component analysis (PCA) has been widely employed in primary component extraction, and shifted PCA (SPCA) is employed to enhance the primary extraction for input signals involving the inter-channel time difference. However, SPCA generally requires the primary components to come from one direction and cannot produce good results in the case of multiple directions.

Paper Details

Authors:
Submitted On:
23 February 2016 - 1:44pm
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Type:

Document Files

ICASSP15_Multi-shift principal component analysis based primary component extraction for spatial audio reproduction.pdf

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[1] , "Multi-shift principal component analysis based primary component extraction for spatial audio reproduction", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/168. Accessed: Dec. 18, 2017.
@article{168-15,
url = {http://sigport.org/168},
author = { },
publisher = {IEEE SigPort},
title = {Multi-shift principal component analysis based primary component extraction for spatial audio reproduction},
year = {2015} }
TY - EJOUR
T1 - Multi-shift principal component analysis based primary component extraction for spatial audio reproduction
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/168
ER -
. (2015). Multi-shift principal component analysis based primary component extraction for spatial audio reproduction. IEEE SigPort. http://sigport.org/168
, 2015. Multi-shift principal component analysis based primary component extraction for spatial audio reproduction. Available at: http://sigport.org/168.
. (2015). "Multi-shift principal component analysis based primary component extraction for spatial audio reproduction." Web.
1. . Multi-shift principal component analysis based primary component extraction for spatial audio reproduction [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/168

Natural Sound Rendering for Headphones: Integration of signal processing techniques


With the strong growth of assistive and personal listening devices, natural sound rendering over headphones is becoming a necessity for prolonged listening in multimedia and virtual reality applications. The aim of natural sound rendering is to naturally recreate the sound scenes with the spatial and timbral quality as natural as possible, so as to achieve a truly immersive listening experience. However, rendering natural sound over headphones encounters many challenges. This tutorial article presents signal processing techniques to tackle these challenges to assist human listening.

Paper Details

Authors:
Kaushik Sunder, Ee-Leng Tan
Submitted On:
23 February 2016 - 1:44pm
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SPM2015manuscript-Natural Sound Rendering for Headphones.pdf

(400 downloads)

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[1] Kaushik Sunder, Ee-Leng Tan, "Natural Sound Rendering for Headphones: Integration of signal processing techniques", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/166. Accessed: Dec. 18, 2017.
@article{166-15,
url = {http://sigport.org/166},
author = {Kaushik Sunder; Ee-Leng Tan },
publisher = {IEEE SigPort},
title = {Natural Sound Rendering for Headphones: Integration of signal processing techniques},
year = {2015} }
TY - EJOUR
T1 - Natural Sound Rendering for Headphones: Integration of signal processing techniques
AU - Kaushik Sunder; Ee-Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/166
ER -
Kaushik Sunder, Ee-Leng Tan. (2015). Natural Sound Rendering for Headphones: Integration of signal processing techniques. IEEE SigPort. http://sigport.org/166
Kaushik Sunder, Ee-Leng Tan, 2015. Natural Sound Rendering for Headphones: Integration of signal processing techniques. Available at: http://sigport.org/166.
Kaushik Sunder, Ee-Leng Tan. (2015). "Natural Sound Rendering for Headphones: Integration of signal processing techniques." Web.
1. Kaushik Sunder, Ee-Leng Tan. Natural Sound Rendering for Headphones: Integration of signal processing techniques [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/166

A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (slides)


Primary-ambient extraction (PAE) has been playing an important role in spatial audio analysis-synthesis. Based on the spatial features, PAE decomposes a signal into primary and ambient components, which are then rendered separately. PAE is performed in subband for complex input signals with multiple point-like sound sources. However, the performance of PAE approaches and its key influences in this case have not been well studied so far. In this paper, we conducted a study on frequency-domain PAE using principal component analysis in the case of multiple sources.

Paper Details

Authors:
Ee Leng Tan
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:

Document Files

ICASSP14_A study on the Frequency domian PAE.ppt

(303 downloads)

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[1] Ee Leng Tan, "A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (slides)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/165. Accessed: Dec. 18, 2017.
@article{165-15,
url = {http://sigport.org/165},
author = {Ee Leng Tan },
publisher = {IEEE SigPort},
title = {A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (slides)},
year = {2015} }
TY - EJOUR
T1 - A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (slides)
AU - Ee Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/165
ER -
Ee Leng Tan. (2015). A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (slides). IEEE SigPort. http://sigport.org/165
Ee Leng Tan, 2015. A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (slides). Available at: http://sigport.org/165.
Ee Leng Tan. (2015). "A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (slides)." Web.
1. Ee Leng Tan. A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (slides) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/165

A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (poster)


Primary-ambient extraction (PAE) has been playing an important role in spatial audio analysis-synthesis. Based on the spatial features, PAE decomposes a signal into primary and ambient components, which are then rendered separately. PAE is performed in subband for complex input signals with multiple point-like sound sources. However, the performance of PAE approaches and its key influences in this case have not been well studied so far. In this paper, we conducted a study on frequency-domain PAE using principal component analysis in the case of multiple sources.

Paper Details

Authors:
Ee Leng Tan
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:

Document Files

ICASSP14 poster_Jianjun_V6.pdf

(290 downloads)

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[1] Ee Leng Tan, "A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (poster)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/164. Accessed: Dec. 18, 2017.
@article{164-15,
url = {http://sigport.org/164},
author = {Ee Leng Tan },
publisher = {IEEE SigPort},
title = {A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (poster)},
year = {2015} }
TY - EJOUR
T1 - A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (poster)
AU - Ee Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/164
ER -
Ee Leng Tan. (2015). A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (poster). IEEE SigPort. http://sigport.org/164
Ee Leng Tan, 2015. A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (poster). Available at: http://sigport.org/164.
Ee Leng Tan. (2015). "A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (poster)." Web.
1. Ee Leng Tan. A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals (poster) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/164

A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals


Primary-ambient extraction (PAE) has been playing an important role in spatial audio analysis-synthesis. Based on the spatial features, PAE decomposes a signal into primary and ambient components, which are then rendered separately. PAE is performed in subband for complex input signals with multiple point-like sound sources. However, the performance of PAE approaches and its key influences in this case have not been well studied so far. In this paper, we conducted a study on frequency-domain PAE using principal component analysis in the case of multiple sources.

Paper Details

Authors:
Ee Leng Tan
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:

Document Files

ICASSP14_A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals.pdf

(288 downloads)

Keywords

Subscribe

[1] Ee Leng Tan, "A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/163. Accessed: Dec. 18, 2017.
@article{163-15,
url = {http://sigport.org/163},
author = {Ee Leng Tan },
publisher = {IEEE SigPort},
title = {A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals},
year = {2015} }
TY - EJOUR
T1 - A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals
AU - Ee Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/163
ER -
Ee Leng Tan. (2015). A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals. IEEE SigPort. http://sigport.org/163
Ee Leng Tan, 2015. A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals. Available at: http://sigport.org/163.
Ee Leng Tan. (2015). "A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals." Web.
1. Ee Leng Tan. A Study on the Frequency-Domain Primary-Ambient Extraction for Stereo Audio Signals [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/163

Time shifted PCA based cue extraction for stereo audio signals (slides)


In spatial audio analysis-synthesis, one of the key issues is to decompose a signal into cue and ambient components based on their spatial features. Principal component analysis (PCA) has been widely employed in cue extraction. However, the performance of PCA based cue extraction is highly dependent on the assumptions of the input signal model. One of these assumptions is the input signal contains highly correlated cue at zero lag. However, this assumption is often unmet.

Paper Details

Authors:
Ee Leng Tan
Submitted On:
23 February 2016 - 1:43pm
Short Link:
Type:

Document Files

ICASSP13_ppt_JJ_v5.ppt

(339 downloads)

Keywords

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[1] Ee Leng Tan, "Time shifted PCA based cue extraction for stereo audio signals (slides)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/162. Accessed: Dec. 18, 2017.
@article{162-15,
url = {http://sigport.org/162},
author = {Ee Leng Tan },
publisher = {IEEE SigPort},
title = {Time shifted PCA based cue extraction for stereo audio signals (slides)},
year = {2015} }
TY - EJOUR
T1 - Time shifted PCA based cue extraction for stereo audio signals (slides)
AU - Ee Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/162
ER -
Ee Leng Tan. (2015). Time shifted PCA based cue extraction for stereo audio signals (slides). IEEE SigPort. http://sigport.org/162
Ee Leng Tan, 2015. Time shifted PCA based cue extraction for stereo audio signals (slides). Available at: http://sigport.org/162.
Ee Leng Tan. (2015). "Time shifted PCA based cue extraction for stereo audio signals (slides)." Web.
1. Ee Leng Tan. Time shifted PCA based cue extraction for stereo audio signals (slides) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/162

Time shifted PCA based cue extraction for stereo audio signals (poster)


In spatial audio analysis-synthesis, one of the key issues is to decompose a signal into cue and ambient components based on their spatial features. Principal component analysis (PCA) has been widely employed in cue extraction. However, the performance of PCA based cue extraction is highly dependent on the assumptions of the input signal model. One of these assumptions is the input signal contains highly correlated cue at zero lag. However, this assumption is often unmet.

Paper Details

Authors:
Ee Leng Tan
Submitted On:
23 February 2016 - 1:43pm
Short Link:
Type:

Document Files

ICASSP13_poster_JJ_V10.pdf

(348 downloads)

Keywords

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[1] Ee Leng Tan, "Time shifted PCA based cue extraction for stereo audio signals (poster)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/161. Accessed: Dec. 18, 2017.
@article{161-15,
url = {http://sigport.org/161},
author = {Ee Leng Tan },
publisher = {IEEE SigPort},
title = {Time shifted PCA based cue extraction for stereo audio signals (poster)},
year = {2015} }
TY - EJOUR
T1 - Time shifted PCA based cue extraction for stereo audio signals (poster)
AU - Ee Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/161
ER -
Ee Leng Tan. (2015). Time shifted PCA based cue extraction for stereo audio signals (poster). IEEE SigPort. http://sigport.org/161
Ee Leng Tan, 2015. Time shifted PCA based cue extraction for stereo audio signals (poster). Available at: http://sigport.org/161.
Ee Leng Tan. (2015). "Time shifted PCA based cue extraction for stereo audio signals (poster)." Web.
1. Ee Leng Tan. Time shifted PCA based cue extraction for stereo audio signals (poster) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/161

Time shifted PCA based cue extraction for stereo audio signals


In spatial audio analysis-synthesis, one of the key issues is to decompose a signal into cue and ambient components based on their spatial features. Principal component analysis (PCA) has been widely employed in cue extraction. However, the performance of PCA based cue extraction is highly dependent on the assumptions of the input signal model. One of these assumptions is the input signal contains highly correlated cue at zero lag. However, this assumption is often unmet.

Paper Details

Authors:
Ee-Leng Tan
Submitted On:
23 February 2016 - 1:43pm
Short Link:
Type:

Document Files

ICASSP13_Time shifted PCA based cue extraction for stereo audio signals_Jianjun HE.pdf

(290 downloads)

Keywords

Subscribe

[1] Ee-Leng Tan, "Time shifted PCA based cue extraction for stereo audio signals", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/160. Accessed: Dec. 18, 2017.
@article{160-15,
url = {http://sigport.org/160},
author = {Ee-Leng Tan },
publisher = {IEEE SigPort},
title = {Time shifted PCA based cue extraction for stereo audio signals},
year = {2015} }
TY - EJOUR
T1 - Time shifted PCA based cue extraction for stereo audio signals
AU - Ee-Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/160
ER -
Ee-Leng Tan. (2015). Time shifted PCA based cue extraction for stereo audio signals. IEEE SigPort. http://sigport.org/160
Ee-Leng Tan, 2015. Time shifted PCA based cue extraction for stereo audio signals. Available at: http://sigport.org/160.
Ee-Leng Tan. (2015). "Time shifted PCA based cue extraction for stereo audio signals." Web.
1. Ee-Leng Tan. Time shifted PCA based cue extraction for stereo audio signals [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/160

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