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Audio and Acoustic Signal Processing

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
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Document Files

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

(319 downloads)

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[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: May. 20, 2018.
@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

(395 downloads)

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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: May. 20, 2018.
@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

(396 downloads)

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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: May. 20, 2018.
@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

(327 downloads)

Keywords

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[1] Ee-Leng Tan, "Time shifted PCA based cue extraction for stereo audio signals", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/160. Accessed: May. 20, 2018.
@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

Linear estimation based primary-ambient extraction for stereo audio signals (slides)


Audio signals for moving pictures and video games are often linear combinations of primary and ambient components. In spatial audio analysis-synthesis, these mixed signals are usually decomposed into primary and ambient components to facilitate flexible spatial rendering and enhancement. Existing approaches such as principal component analysis (PCA) and least squares (LS) are widely used to perform this decomposition from stereo signals.

Paper Details

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

Document Files

ASLP14slides_Linear estimation based primary-ambient extraction for stereo audio signals-short.pdf

(411 downloads)

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[1] Ee Leng Tan, "Linear estimation based primary-ambient extraction for stereo audio signals (slides)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/159. Accessed: May. 20, 2018.
@article{159-15,
url = {http://sigport.org/159},
author = {Ee Leng Tan },
publisher = {IEEE SigPort},
title = {Linear estimation based primary-ambient extraction for stereo audio signals (slides)},
year = {2015} }
TY - EJOUR
T1 - Linear estimation based primary-ambient extraction for stereo audio signals (slides)
AU - Ee Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/159
ER -
Ee Leng Tan. (2015). Linear estimation based primary-ambient extraction for stereo audio signals (slides). IEEE SigPort. http://sigport.org/159
Ee Leng Tan, 2015. Linear estimation based primary-ambient extraction for stereo audio signals (slides). Available at: http://sigport.org/159.
Ee Leng Tan. (2015). "Linear estimation based primary-ambient extraction for stereo audio signals (slides)." Web.
1. Ee Leng Tan. Linear estimation based primary-ambient extraction for stereo audio signals (slides) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/159

Linear estimation based primary-ambient extraction for stereo audio signals


Linear estimation based primary-ambient extraction for stereo audio signals

Audio signals for moving pictures and video games are often linear combinations of primary and ambient components. In spatial audio analysis-synthesis, these mixed signals are usually decomposed into primary and ambient components to facilitate flexible spatial rendering and enhancement. Existing approaches such as principal component analysis (PCA) and least squares (LS) are widely used to perform this decomposition from stereo signals.

Paper Details

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

Document Files

ASLP14manuscript_Linear estimation based primary-ambient extraction for stereo audio signals.pdf

(407 downloads)

Keywords

Subscribe

[1] Ee Leng Tan, "Linear estimation based primary-ambient extraction for stereo audio signals", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/158. Accessed: May. 20, 2018.
@article{158-15,
url = {http://sigport.org/158},
author = {Ee Leng Tan },
publisher = {IEEE SigPort},
title = {Linear estimation based primary-ambient extraction for stereo audio signals},
year = {2015} }
TY - EJOUR
T1 - Linear estimation based primary-ambient extraction for stereo audio signals
AU - Ee Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/158
ER -
Ee Leng Tan. (2015). Linear estimation based primary-ambient extraction for stereo audio signals. IEEE SigPort. http://sigport.org/158
Ee Leng Tan, 2015. Linear estimation based primary-ambient extraction for stereo audio signals. Available at: http://sigport.org/158.
Ee Leng Tan. (2015). "Linear estimation based primary-ambient extraction for stereo audio signals." Web.
1. Ee Leng Tan. Linear estimation based primary-ambient extraction for stereo audio signals [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/158

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