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Audio Coding

AUDIO CODING BASED ON SPECTRAL RECOVERY BY CONVOLUTIONAL NEURAL NETWORK


This study proposes a new method of audio coding based on spectral recovery, which can enhance the performance of transform audio coding. An encoder represents spectral information of an input in a time-frequency domain and transmits only a portion of it so that the remaining spectral information can be recovered based on the transmitted information. A decoder recovers the magnitudes of missing spectral information using a convolutional neural network. The signs of missing spectral information are either transmitted or randomly assigned, according to their importance.

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Authors:
Seong-Hyeon Shin, Seung Kwon Beack, Taejin Lee, Hochong Park
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10 May 2019 - 6:05am
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[1] Seong-Hyeon Shin, Seung Kwon Beack, Taejin Lee, Hochong Park, "AUDIO CODING BASED ON SPECTRAL RECOVERY BY CONVOLUTIONAL NEURAL NETWORK", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4295. Accessed: Jun. 26, 2019.
@article{4295-19,
url = {http://sigport.org/4295},
author = {Seong-Hyeon Shin; Seung Kwon Beack; Taejin Lee; Hochong Park },
publisher = {IEEE SigPort},
title = {AUDIO CODING BASED ON SPECTRAL RECOVERY BY CONVOLUTIONAL NEURAL NETWORK},
year = {2019} }
TY - EJOUR
T1 - AUDIO CODING BASED ON SPECTRAL RECOVERY BY CONVOLUTIONAL NEURAL NETWORK
AU - Seong-Hyeon Shin; Seung Kwon Beack; Taejin Lee; Hochong Park
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4295
ER -
Seong-Hyeon Shin, Seung Kwon Beack, Taejin Lee, Hochong Park. (2019). AUDIO CODING BASED ON SPECTRAL RECOVERY BY CONVOLUTIONAL NEURAL NETWORK. IEEE SigPort. http://sigport.org/4295
Seong-Hyeon Shin, Seung Kwon Beack, Taejin Lee, Hochong Park, 2019. AUDIO CODING BASED ON SPECTRAL RECOVERY BY CONVOLUTIONAL NEURAL NETWORK. Available at: http://sigport.org/4295.
Seong-Hyeon Shin, Seung Kwon Beack, Taejin Lee, Hochong Park. (2019). "AUDIO CODING BASED ON SPECTRAL RECOVERY BY CONVOLUTIONAL NEURAL NETWORK." Web.
1. Seong-Hyeon Shin, Seung Kwon Beack, Taejin Lee, Hochong Park. AUDIO CODING BASED ON SPECTRAL RECOVERY BY CONVOLUTIONAL NEURAL NETWORK [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4295

Speaker-dependent WaveNet-based delay-free ADPCM speech coding


This paper proposes a WaveNet-based delay-free adaptive differential pulse code modulation (ADPCM) speech coding system. The WaveNet generative model, which is a stateof-the-art model for neural-network-based speech waveform synthesis, is used as the adaptive predictor in ADPCM. To further improve speech quality, mel-cepstrum-based noise shaping and postfiltering were integrated with the proposed ADPCM system.

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7 May 2019 - 10:45pm
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[1] , "Speaker-dependent WaveNet-based delay-free ADPCM speech coding", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3996. Accessed: Jun. 26, 2019.
@article{3996-19,
url = {http://sigport.org/3996},
author = { },
publisher = {IEEE SigPort},
title = {Speaker-dependent WaveNet-based delay-free ADPCM speech coding},
year = {2019} }
TY - EJOUR
T1 - Speaker-dependent WaveNet-based delay-free ADPCM speech coding
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3996
ER -
. (2019). Speaker-dependent WaveNet-based delay-free ADPCM speech coding. IEEE SigPort. http://sigport.org/3996
, 2019. Speaker-dependent WaveNet-based delay-free ADPCM speech coding. Available at: http://sigport.org/3996.
. (2019). "Speaker-dependent WaveNet-based delay-free ADPCM speech coding." Web.
1. . Speaker-dependent WaveNet-based delay-free ADPCM speech coding [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3996

Immersive Audio Coding for Virtual Reality Using a Metadata-Assisted Extension of the 3GPP EVS Codec


Virtual Reality (VR) audio scenes may be composed of a very large number of audio elements, including dynamic audio objects, fixed audio channels and scene-based audio elements such as Higher Order Ambisonics (HOA).

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Authors:
David McGrath, Stefan Bruhn, Heiko Purnhagen, Michael Eckert, Juan Torres, Stefanie Brown, Dan Darcy
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7 May 2019 - 3:10pm
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[1] David McGrath, Stefan Bruhn, Heiko Purnhagen, Michael Eckert, Juan Torres, Stefanie Brown, Dan Darcy, "Immersive Audio Coding for Virtual Reality Using a Metadata-Assisted Extension of the 3GPP EVS Codec", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3950. Accessed: Jun. 26, 2019.
@article{3950-19,
url = {http://sigport.org/3950},
author = {David McGrath; Stefan Bruhn; Heiko Purnhagen; Michael Eckert; Juan Torres; Stefanie Brown; Dan Darcy },
publisher = {IEEE SigPort},
title = {Immersive Audio Coding for Virtual Reality Using a Metadata-Assisted Extension of the 3GPP EVS Codec},
year = {2019} }
TY - EJOUR
T1 - Immersive Audio Coding for Virtual Reality Using a Metadata-Assisted Extension of the 3GPP EVS Codec
AU - David McGrath; Stefan Bruhn; Heiko Purnhagen; Michael Eckert; Juan Torres; Stefanie Brown; Dan Darcy
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3950
ER -
David McGrath, Stefan Bruhn, Heiko Purnhagen, Michael Eckert, Juan Torres, Stefanie Brown, Dan Darcy. (2019). Immersive Audio Coding for Virtual Reality Using a Metadata-Assisted Extension of the 3GPP EVS Codec. IEEE SigPort. http://sigport.org/3950
David McGrath, Stefan Bruhn, Heiko Purnhagen, Michael Eckert, Juan Torres, Stefanie Brown, Dan Darcy, 2019. Immersive Audio Coding for Virtual Reality Using a Metadata-Assisted Extension of the 3GPP EVS Codec. Available at: http://sigport.org/3950.
David McGrath, Stefan Bruhn, Heiko Purnhagen, Michael Eckert, Juan Torres, Stefanie Brown, Dan Darcy. (2019). "Immersive Audio Coding for Virtual Reality Using a Metadata-Assisted Extension of the 3GPP EVS Codec." Web.
1. David McGrath, Stefan Bruhn, Heiko Purnhagen, Michael Eckert, Juan Torres, Stefanie Brown, Dan Darcy. Immersive Audio Coding for Virtual Reality Using a Metadata-Assisted Extension of the 3GPP EVS Codec [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3950

WAVENET BASED LOW RATE SPEECH CODING


Traditional parametric coding of speech facilitates low rate but provides poor reconstruction quality because of the inadequacy of the model used. We describe how a WaveNet generative speech model can be used to generate high quality speech from the bit stream of a standard parametric coder operating at 2.4 kb/s. We compare this parametric coder with a waveform coder based on the same generative model and show that approximating the signal waveform incurs a large rate penalty.

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Authors:
W. Bastiaan Kleijn, Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Florian Stimberg, Quan Wang, Thomas C. Walters
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4 May 2018 - 2:28pm
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[1] W. Bastiaan Kleijn, Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Florian Stimberg, Quan Wang, Thomas C. Walters, "WAVENET BASED LOW RATE SPEECH CODING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3201. Accessed: Jun. 26, 2019.
@article{3201-18,
url = {http://sigport.org/3201},
author = {W. Bastiaan Kleijn; Felicia S. C. Lim; Alejandro Luebs; Jan Skoglund; Florian Stimberg; Quan Wang; Thomas C. Walters },
publisher = {IEEE SigPort},
title = {WAVENET BASED LOW RATE SPEECH CODING},
year = {2018} }
TY - EJOUR
T1 - WAVENET BASED LOW RATE SPEECH CODING
AU - W. Bastiaan Kleijn; Felicia S. C. Lim; Alejandro Luebs; Jan Skoglund; Florian Stimberg; Quan Wang; Thomas C. Walters
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3201
ER -
W. Bastiaan Kleijn, Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Florian Stimberg, Quan Wang, Thomas C. Walters. (2018). WAVENET BASED LOW RATE SPEECH CODING. IEEE SigPort. http://sigport.org/3201
W. Bastiaan Kleijn, Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Florian Stimberg, Quan Wang, Thomas C. Walters, 2018. WAVENET BASED LOW RATE SPEECH CODING. Available at: http://sigport.org/3201.
W. Bastiaan Kleijn, Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Florian Stimberg, Quan Wang, Thomas C. Walters. (2018). "WAVENET BASED LOW RATE SPEECH CODING." Web.
1. W. Bastiaan Kleijn, Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Florian Stimberg, Quan Wang, Thomas C. Walters. WAVENET BASED LOW RATE SPEECH CODING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3201

ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION


Informed source separation (ISS) uses source separation for extracting audio objects out of their downmix given some pre-computed parameters. In recent years, non-negative tensor factorization (NTF) has proven to be a good choice for compressing audio objects at an encoding stage. At the decoding stage, these parameters are used to separate the downmix with Wiener-filtering. The quantized NTF parameters have to be encoded to a bitstream prior to transmission.

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Authors:
Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien
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22 April 2018 - 1:25pm
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[1] Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien, "ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3135. Accessed: Jun. 26, 2019.
@article{3135-18,
url = {http://sigport.org/3135},
author = {Max Bläser; Christian Rohlfing; Yingbo Gao; Mathias Wien },
publisher = {IEEE SigPort},
title = {ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION},
year = {2018} }
TY - EJOUR
T1 - ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION
AU - Max Bläser; Christian Rohlfing; Yingbo Gao; Mathias Wien
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3135
ER -
Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien. (2018). ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION. IEEE SigPort. http://sigport.org/3135
Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien, 2018. ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION. Available at: http://sigport.org/3135.
Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien. (2018). "ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION." Web.
1. Max Bläser, Christian Rohlfing, Yingbo Gao, Mathias Wien. ADAPTIVE CODING OF NON-NEGATIVE FACTORIZATION PARAMETERS WITH APPLICATION TO INFORMED SOURCE SEPARATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3135

Decorrelation for Audio Object Coding


Object-based representations of audio content are increasingly
used in entertainment systems to deliver immersive and
personalized experiences. Efficient storage and transmission
of such content can be achieved by joint object coding algorithms
that convey a reduced number of downmix signals
together with parametric side information that enables object
reconstruction in the decoder. This paper presents an
approach to improve the performance of joint object coding
by adding one or more decorrelators to the decoding process.

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Authors:
Lars Villemoes, Toni Hirvonen, and Heiko Purnhagen
Submitted On:
19 May 2017 - 7:40am
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[1] Lars Villemoes, Toni Hirvonen, and Heiko Purnhagen, "Decorrelation for Audio Object Coding", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1795. Accessed: Jun. 26, 2019.
@article{1795-17,
url = {http://sigport.org/1795},
author = {Lars Villemoes; Toni Hirvonen; and Heiko Purnhagen },
publisher = {IEEE SigPort},
title = {Decorrelation for Audio Object Coding},
year = {2017} }
TY - EJOUR
T1 - Decorrelation for Audio Object Coding
AU - Lars Villemoes; Toni Hirvonen; and Heiko Purnhagen
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1795
ER -
Lars Villemoes, Toni Hirvonen, and Heiko Purnhagen. (2017). Decorrelation for Audio Object Coding. IEEE SigPort. http://sigport.org/1795
Lars Villemoes, Toni Hirvonen, and Heiko Purnhagen, 2017. Decorrelation for Audio Object Coding. Available at: http://sigport.org/1795.
Lars Villemoes, Toni Hirvonen, and Heiko Purnhagen. (2017). "Decorrelation for Audio Object Coding." Web.
1. Lars Villemoes, Toni Hirvonen, and Heiko Purnhagen. Decorrelation for Audio Object Coding [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1795

Pre-Echo Noise Reduction in Frequency-Domain Audio Codecs (Poster)


One of the most common yet detrimental compression artifacts in frequency-domain audio codecs is known as pre-echo, which is perceived as a brief noise preceding transient signals, and is discernable even without direct comparison to the original signal. Because of its substantial negative impact on audio quality, many techniques have been proposed to alleviate it, but not without effect on coding efficiency.

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Authors:
Jimmy Lapierre, Roch Lefebvre
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1 March 2017 - 7:11pm
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[1] Jimmy Lapierre, Roch Lefebvre, "Pre-Echo Noise Reduction in Frequency-Domain Audio Codecs (Poster)", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1569. Accessed: Jun. 26, 2019.
@article{1569-17,
url = {http://sigport.org/1569},
author = {Jimmy Lapierre; Roch Lefebvre },
publisher = {IEEE SigPort},
title = {Pre-Echo Noise Reduction in Frequency-Domain Audio Codecs (Poster)},
year = {2017} }
TY - EJOUR
T1 - Pre-Echo Noise Reduction in Frequency-Domain Audio Codecs (Poster)
AU - Jimmy Lapierre; Roch Lefebvre
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1569
ER -
Jimmy Lapierre, Roch Lefebvre. (2017). Pre-Echo Noise Reduction in Frequency-Domain Audio Codecs (Poster). IEEE SigPort. http://sigport.org/1569
Jimmy Lapierre, Roch Lefebvre, 2017. Pre-Echo Noise Reduction in Frequency-Domain Audio Codecs (Poster). Available at: http://sigport.org/1569.
Jimmy Lapierre, Roch Lefebvre. (2017). "Pre-Echo Noise Reduction in Frequency-Domain Audio Codecs (Poster)." Web.
1. Jimmy Lapierre, Roch Lefebvre. Pre-Echo Noise Reduction in Frequency-Domain Audio Codecs (Poster) [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1569

Adaptive selection of lag-window shape for linear predictive analysis in the 3GPP EVS codec

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23 February 2016 - 1:44pm
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[1] , "Adaptive selection of lag-window shape for linear predictive analysis in the 3GPP EVS codec", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/489. Accessed: Jun. 26, 2019.
@article{489-15,
url = {http://sigport.org/489},
author = { },
publisher = {IEEE SigPort},
title = {Adaptive selection of lag-window shape for linear predictive analysis in the 3GPP EVS codec},
year = {2015} }
TY - EJOUR
T1 - Adaptive selection of lag-window shape for linear predictive analysis in the 3GPP EVS codec
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/489
ER -
. (2015). Adaptive selection of lag-window shape for linear predictive analysis in the 3GPP EVS codec. IEEE SigPort. http://sigport.org/489
, 2015. Adaptive selection of lag-window shape for linear predictive analysis in the 3GPP EVS codec. Available at: http://sigport.org/489.
. (2015). "Adaptive selection of lag-window shape for linear predictive analysis in the 3GPP EVS codec." Web.
1. . Adaptive selection of lag-window shape for linear predictive analysis in the 3GPP EVS codec [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/489

A PACKET LOSS RECOVERY TECHNIQUE WITH LINE SPECTRAL FREQUENCY MODIFICATION IN 3GPP EVS CODEC


This paper examines a method for controlling the energy of decoded signal at the recovery frame from a packet loss. Our observation unveiled that a packet loss around speech onset causes sudden increase in the amplitude of the decoded signal at the recovery frame. To mitigate the artifact caused by the overshoot, a detector of the speech overshoot is proposed as well as a method that controls the amplitude of the decoded signal by adjusting distances of adjacent line spectral frequencies.

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Authors:
Kei Kikuiri
Submitted On:
23 February 2016 - 1:44pm
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[1] Kei Kikuiri, "A PACKET LOSS RECOVERY TECHNIQUE WITH LINE SPECTRAL FREQUENCY MODIFICATION IN 3GPP EVS CODEC", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/385. Accessed: Jun. 26, 2019.
@article{385-15,
url = {http://sigport.org/385},
author = {Kei Kikuiri },
publisher = {IEEE SigPort},
title = {A PACKET LOSS RECOVERY TECHNIQUE WITH LINE SPECTRAL FREQUENCY MODIFICATION IN 3GPP EVS CODEC},
year = {2015} }
TY - EJOUR
T1 - A PACKET LOSS RECOVERY TECHNIQUE WITH LINE SPECTRAL FREQUENCY MODIFICATION IN 3GPP EVS CODEC
AU - Kei Kikuiri
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/385
ER -
Kei Kikuiri. (2015). A PACKET LOSS RECOVERY TECHNIQUE WITH LINE SPECTRAL FREQUENCY MODIFICATION IN 3GPP EVS CODEC. IEEE SigPort. http://sigport.org/385
Kei Kikuiri, 2015. A PACKET LOSS RECOVERY TECHNIQUE WITH LINE SPECTRAL FREQUENCY MODIFICATION IN 3GPP EVS CODEC. Available at: http://sigport.org/385.
Kei Kikuiri. (2015). "A PACKET LOSS RECOVERY TECHNIQUE WITH LINE SPECTRAL FREQUENCY MODIFICATION IN 3GPP EVS CODEC." Web.
1. Kei Kikuiri. A PACKET LOSS RECOVERY TECHNIQUE WITH LINE SPECTRAL FREQUENCY MODIFICATION IN 3GPP EVS CODEC [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/385

DELAY-LESS FREQUENCY DOMAIN PACKET-LOSS CONCEALMENT FOR TONAL AUDIO SIGNALS

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Authors:
Ralph Sperschneider, Janine Sukowski
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23 February 2016 - 1:44pm
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[1] Ralph Sperschneider, Janine Sukowski, "DELAY-LESS FREQUENCY DOMAIN PACKET-LOSS CONCEALMENT FOR TONAL AUDIO SIGNALS", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/320. Accessed: Jun. 26, 2019.
@article{320-15,
url = {http://sigport.org/320},
author = {Ralph Sperschneider; Janine Sukowski },
publisher = {IEEE SigPort},
title = {DELAY-LESS FREQUENCY DOMAIN PACKET-LOSS CONCEALMENT FOR TONAL AUDIO SIGNALS},
year = {2015} }
TY - EJOUR
T1 - DELAY-LESS FREQUENCY DOMAIN PACKET-LOSS CONCEALMENT FOR TONAL AUDIO SIGNALS
AU - Ralph Sperschneider; Janine Sukowski
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/320
ER -
Ralph Sperschneider, Janine Sukowski. (2015). DELAY-LESS FREQUENCY DOMAIN PACKET-LOSS CONCEALMENT FOR TONAL AUDIO SIGNALS. IEEE SigPort. http://sigport.org/320
Ralph Sperschneider, Janine Sukowski, 2015. DELAY-LESS FREQUENCY DOMAIN PACKET-LOSS CONCEALMENT FOR TONAL AUDIO SIGNALS. Available at: http://sigport.org/320.
Ralph Sperschneider, Janine Sukowski. (2015). "DELAY-LESS FREQUENCY DOMAIN PACKET-LOSS CONCEALMENT FOR TONAL AUDIO SIGNALS." Web.
1. Ralph Sperschneider, Janine Sukowski. DELAY-LESS FREQUENCY DOMAIN PACKET-LOSS CONCEALMENT FOR TONAL AUDIO SIGNALS [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/320

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