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Audio and Acoustic Signal Processing

Memory-Less Gain Quantization in the EVS Codec


Memory-Less Gain Quantization in the EVS Codec

The recent standard on Enhanced Voiced Services (EVS) contains two memory-less gain coding mechanisms achieving better performance than the prediction-based techniques used in 3GPP AMR-WB and ITU-T G.729 codecs. The EVS gain encoder uses joint vector quantization without the need of information from previous frames. Inter-frame prediction is replaced by alternative schemes based on sub-frame prediction or estimated average target signal energy. This eliminates the propagation of error inside the adaptive codebook.

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Authors:
Milan Jelinek
Submitted On:
23 February 2016 - 1:38pm
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presentation_globalsip_2015.pptx

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[1] Milan Jelinek, "Memory-Less Gain Quantization in the EVS Codec", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/253. Accessed: Nov. 22, 2017.
@article{253-15,
url = {http://sigport.org/253},
author = {Milan Jelinek },
publisher = {IEEE SigPort},
title = {Memory-Less Gain Quantization in the EVS Codec},
year = {2015} }
TY - EJOUR
T1 - Memory-Less Gain Quantization in the EVS Codec
AU - Milan Jelinek
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/253
ER -
Milan Jelinek. (2015). Memory-Less Gain Quantization in the EVS Codec. IEEE SigPort. http://sigport.org/253
Milan Jelinek, 2015. Memory-Less Gain Quantization in the EVS Codec. Available at: http://sigport.org/253.
Milan Jelinek. (2015). "Memory-Less Gain Quantization in the EVS Codec." Web.
1. Milan Jelinek. Memory-Less Gain Quantization in the EVS Codec [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/253

Time-Shifting Based Primary-Ambient Extraction for Spatial Audio Reproduction


One of the key issues in spatial audio analysis and reproduction is to decompose a signal into primary and ambient components based on their directional and diffuse spatial features, respectively. Existing approaches employed in primary-ambient extraction (PAE), such as principal component analysis (PCA), are mainly based on a basic stereo signal model. The performance of these PAE approaches has not been well studied for the input signals that do not satisfy all the assumptions of the stereo signal model.

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Authors:
Ee-Leng Tan
Submitted On:
23 February 2016 - 1:43pm
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2 ASLP_Time shifting PAE_Double Column_final.pdf

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[1] Ee-Leng Tan, "Time-Shifting Based Primary-Ambient Extraction for Spatial Audio Reproduction", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/203. Accessed: Nov. 22, 2017.
@article{203-15,
url = {http://sigport.org/203},
author = {Ee-Leng Tan },
publisher = {IEEE SigPort},
title = {Time-Shifting Based Primary-Ambient Extraction for Spatial Audio Reproduction},
year = {2015} }
TY - EJOUR
T1 - Time-Shifting Based Primary-Ambient Extraction for Spatial Audio Reproduction
AU - Ee-Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/203
ER -
Ee-Leng Tan. (2015). Time-Shifting Based Primary-Ambient Extraction for Spatial Audio Reproduction. IEEE SigPort. http://sigport.org/203
Ee-Leng Tan, 2015. Time-Shifting Based Primary-Ambient Extraction for Spatial Audio Reproduction. Available at: http://sigport.org/203.
Ee-Leng Tan. (2015). "Time-Shifting Based Primary-Ambient Extraction for Spatial Audio Reproduction." Web.
1. Ee-Leng Tan. Time-Shifting Based Primary-Ambient Extraction for Spatial Audio Reproduction [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/203

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


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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Authors:
Ee-Leng Tan
Submitted On:
23 February 2016 - 1:43pm
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ICASSP15poster_MSPCA based PAE_v3.pdf

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[1] Ee-Leng Tan, "Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (poster)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/182. Accessed: Nov. 22, 2017.
@article{182-15,
url = {http://sigport.org/182},
author = {Ee-Leng Tan },
publisher = {IEEE SigPort},
title = {Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (poster)},
year = {2015} }
TY - EJOUR
T1 - Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (poster)
AU - Ee-Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/182
ER -
Ee-Leng Tan. (2015). Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (poster). IEEE SigPort. http://sigport.org/182
Ee-Leng Tan, 2015. Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (poster). Available at: http://sigport.org/182.
Ee-Leng Tan. (2015). "Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (poster)." Web.
1. Ee-Leng Tan. Multi-shift principal component analysis based primary component extraction for spatial audio reproduction (poster) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/182

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


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.

Paper Details

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

Document Files

ICASSP15poster_Pre and postprocessing of HRTF individualization_V3.pdf

(347 downloads)

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[1] Ee-Leng Tan, "On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (poster)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/181. Accessed: Nov. 22, 2017.
@article{181-15,
url = {http://sigport.org/181},
author = {Ee-Leng Tan },
publisher = {IEEE SigPort},
title = {On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (poster)},
year = {2015} }
TY - EJOUR
T1 - On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (poster)
AU - Ee-Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/181
ER -
Ee-Leng Tan. (2015). On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (poster). IEEE SigPort. http://sigport.org/181
Ee-Leng Tan, 2015. On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (poster). Available at: http://sigport.org/181.
Ee-Leng Tan. (2015). "On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (poster)." Web.
1. Ee-Leng Tan. On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (poster) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/181

3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach (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. Stereo audio signals are often modeled as a linear mixture of primary and ambient components. Existing approaches like principal component analysis (PCA) and least squares (LS) have been widely employed to extract primary and ambient components from stereo signals. However, the performance and comparisons of these approaches in primary-ambient extraction (PAE) have not been well studied.

Paper Details

Authors:
Submitted On:
23 February 2016 - 1:43pm
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Qualification examination slides_3D Sound Effect Analysis, Synthesis and Application Design_final.ppt

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[1] , "3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach (slides)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/176. Accessed: Nov. 22, 2017.
@article{176-15,
url = {http://sigport.org/176},
author = { },
publisher = {IEEE SigPort},
title = {3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach (slides)},
year = {2015} }
TY - EJOUR
T1 - 3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach (slides)
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/176
ER -
. (2015). 3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach (slides). IEEE SigPort. http://sigport.org/176
, 2015. 3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach (slides). Available at: http://sigport.org/176.
. (2015). "3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach (slides)." Web.
1. . 3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach (slides) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/176

3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach


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. Stereo audio signals are often modeled as a linear mixture of primary and ambient components. Existing approaches like principal component analysis (PCA) and least squares (LS) have been widely employed to extract primary and ambient components from stereo signals. However, the performance and comparisons of these approaches in primary-ambient extraction (PAE) have not been well studied.

Paper Details

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

Document Files

Qualification examination report_3D Sound Effect Analysis, Synthesis and Application Design_final.pdf

(337 downloads)

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[1] , "3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/175. Accessed: Nov. 22, 2017.
@article{175-15,
url = {http://sigport.org/175},
author = { },
publisher = {IEEE SigPort},
title = {3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach},
year = {2015} }
TY - EJOUR
T1 - 3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/175
ER -
. (2015). 3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach. IEEE SigPort. http://sigport.org/175
, 2015. 3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach. Available at: http://sigport.org/175.
. (2015). "3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach." Web.
1. . 3D Sound Effect Analysis, Synthesis and Application Design----A Primary-Ambient Extraction Approach [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/175

Primary-Ambient Extraction Using Ambient Spectrum Estimation for Immersive Spatial Audio Reproduction


The diversity of today’s playback systems requires a flexible, efficient, and immersive reproduction of sound scenes in digital media. Spatial audio reproduction based on primary-ambient extraction (PAE) fulfills this objective, where accurate extraction of primary and ambient components from sound mixtures in channel-based audio is crucial. Severe extraction error was found in existing PAE approaches when dealing with sound mixtures that contain a relatively strong ambient component, a commonly encountered case in the sound scenes of digital media.

Paper Details

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

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07109833-early access version.pdf

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[1] Ee Leng Tan, "Primary-Ambient Extraction Using Ambient Spectrum Estimation for Immersive Spatial Audio Reproduction", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/174. Accessed: Nov. 22, 2017.
@article{174-15,
url = {http://sigport.org/174},
author = {Ee Leng Tan },
publisher = {IEEE SigPort},
title = {Primary-Ambient Extraction Using Ambient Spectrum Estimation for Immersive Spatial Audio Reproduction},
year = {2015} }
TY - EJOUR
T1 - Primary-Ambient Extraction Using Ambient Spectrum Estimation for Immersive Spatial Audio Reproduction
AU - Ee Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/174
ER -
Ee Leng Tan. (2015). Primary-Ambient Extraction Using Ambient Spectrum Estimation for Immersive Spatial Audio Reproduction. IEEE SigPort. http://sigport.org/174
Ee Leng Tan, 2015. Primary-Ambient Extraction Using Ambient Spectrum Estimation for Immersive Spatial Audio Reproduction. Available at: http://sigport.org/174.
Ee Leng Tan. (2015). "Primary-Ambient Extraction Using Ambient Spectrum Estimation for Immersive Spatial Audio Reproduction." Web.
1. Ee Leng Tan. Primary-Ambient Extraction Using Ambient Spectrum Estimation for Immersive Spatial Audio Reproduction [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/174

Study on the use of error term in parallel-form narrowband feedback active noise control systems (slides)


Parallel-form narrowband feedback active noise control (FBANC) system has been shown to perform better than conventional internal model control (IMC) based FBANC system in cancelling multi-tonal noise. A previous paper illustrated a novel approach in estimating the frequencies of the multi-tone noise, and using an internal tonal generator cum frequency grouping unit to increase its frequency separation in each channel of the parallel-form FBANC system based on a full-band error.

Paper Details

Authors:
Yong-Kim Chong
Submitted On:
23 February 2016 - 1:43pm
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Document Files

APSIPA2014_ANC_JJ_v6.ppt

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[1] Yong-Kim Chong, "Study on the use of error term in parallel-form narrowband feedback active noise control systems (slides)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/173. Accessed: Nov. 22, 2017.
@article{173-15,
url = {http://sigport.org/173},
author = {Yong-Kim Chong },
publisher = {IEEE SigPort},
title = {Study on the use of error term in parallel-form narrowband feedback active noise control systems (slides)},
year = {2015} }
TY - EJOUR
T1 - Study on the use of error term in parallel-form narrowband feedback active noise control systems (slides)
AU - Yong-Kim Chong
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/173
ER -
Yong-Kim Chong. (2015). Study on the use of error term in parallel-form narrowband feedback active noise control systems (slides). IEEE SigPort. http://sigport.org/173
Yong-Kim Chong, 2015. Study on the use of error term in parallel-form narrowband feedback active noise control systems (slides). Available at: http://sigport.org/173.
Yong-Kim Chong. (2015). "Study on the use of error term in parallel-form narrowband feedback active noise control systems (slides)." Web.
1. Yong-Kim Chong. Study on the use of error term in parallel-form narrowband feedback active noise control systems (slides) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/173

Study on the use of error term in parallel-form narrowband feedback active noise control systems


Parallel-form narrowband feedback active noise control (FBANC) system has been shown to perform better than conventional internal model control (IMC) based FBANC system in cancelling multi-tonal noise. A previous paper illustrated a novel approach in estimating the frequencies of the multi-tone noise, and using an internal tonal generator cum frequency grouping unit to increase its frequency separation in each channel of the parallel-form FBANC system based on a full-band error.

Paper Details

Authors:
Yong-Kim Chong
Submitted On:
23 February 2016 - 1:43pm
Short Link:
Type:

Document Files

APSIPA14_Study on the Use of Error Term in Parallel-form Narrowband Feedback Active Noise Control Systems_corrected.pdf

(304 downloads)

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[1] Yong-Kim Chong, "Study on the use of error term in parallel-form narrowband feedback active noise control systems", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/172. Accessed: Nov. 22, 2017.
@article{172-15,
url = {http://sigport.org/172},
author = {Yong-Kim Chong },
publisher = {IEEE SigPort},
title = {Study on the use of error term in parallel-form narrowband feedback active noise control systems},
year = {2015} }
TY - EJOUR
T1 - Study on the use of error term in parallel-form narrowband feedback active noise control systems
AU - Yong-Kim Chong
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/172
ER -
Yong-Kim Chong. (2015). Study on the use of error term in parallel-form narrowband feedback active noise control systems. IEEE SigPort. http://sigport.org/172
Yong-Kim Chong, 2015. Study on the use of error term in parallel-form narrowband feedback active noise control systems. Available at: http://sigport.org/172.
Yong-Kim Chong. (2015). "Study on the use of error term in parallel-form narrowband feedback active noise control systems." Web.
1. Yong-Kim Chong. Study on the use of error term in parallel-form narrowband feedback active noise control systems [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/172

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


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.

Paper Details

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

Document Files

ICASSP15ppt_Pre and postprocessing of HRTF individualization_JJ_12Apr15.pptx

(308 downloads)

ICASSP15ppt_Pre and postprocessing of HRTF individualization_JJ_12Apr15.pptx

(165 downloads)

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[1] Ee Leng Tan, "On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (slides)", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/171. Accessed: Nov. 22, 2017.
@article{171-15,
url = {http://sigport.org/171},
author = {Ee Leng Tan },
publisher = {IEEE SigPort},
title = {On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (slides)},
year = {2015} }
TY - EJOUR
T1 - On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (slides)
AU - Ee Leng Tan
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/171
ER -
Ee Leng Tan. (2015). On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (slides). IEEE SigPort. http://sigport.org/171
Ee Leng Tan, 2015. On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (slides). Available at: http://sigport.org/171.
Ee Leng Tan. (2015). "On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (slides)." Web.
1. Ee Leng Tan. On the Preprocessing and Postprocessing of HRTF individualization based on sparse representation of anthropometric features (slides) [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/171

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