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Speech Enhancement (SPE-ENHA)

ICA BASED SINGLE MICROPHONE BLIND SPEECH SEPARATION TECHNIQUE USING NON-LINEAR ESTIMATION OF SPEECH


In this paper, a Blind Speech Separation (BSS) technique is introduced based on Independent Component Analysis (ICA) for underdetermined single microphone case. In general, ICA uses noisy speech from at least two microphones to separate speech and noise. But ICA fails to separate when only one stream of noisy speech is available. We use Log Spectral Magnitude Estimator based on Minimum Mean Square Error (LogMMSE) as a non-linear estimation technique to estimate the speech spectrum, which is used as the other input to ICA, with the noisy speech.

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Authors:
Anshuman Ganguly, Issa Panahi
Submitted On:
5 March 2017 - 11:37am
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ICASSP 2017-ICA SE Poster_edit_Final.pdf

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[1] Anshuman Ganguly, Issa Panahi, "ICA BASED SINGLE MICROPHONE BLIND SPEECH SEPARATION TECHNIQUE USING NON-LINEAR ESTIMATION OF SPEECH", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1637. Accessed: Jul. 27, 2017.
@article{1637-17,
url = {http://sigport.org/1637},
author = {Anshuman Ganguly; Issa Panahi },
publisher = {IEEE SigPort},
title = {ICA BASED SINGLE MICROPHONE BLIND SPEECH SEPARATION TECHNIQUE USING NON-LINEAR ESTIMATION OF SPEECH},
year = {2017} }
TY - EJOUR
T1 - ICA BASED SINGLE MICROPHONE BLIND SPEECH SEPARATION TECHNIQUE USING NON-LINEAR ESTIMATION OF SPEECH
AU - Anshuman Ganguly; Issa Panahi
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1637
ER -
Anshuman Ganguly, Issa Panahi. (2017). ICA BASED SINGLE MICROPHONE BLIND SPEECH SEPARATION TECHNIQUE USING NON-LINEAR ESTIMATION OF SPEECH. IEEE SigPort. http://sigport.org/1637
Anshuman Ganguly, Issa Panahi, 2017. ICA BASED SINGLE MICROPHONE BLIND SPEECH SEPARATION TECHNIQUE USING NON-LINEAR ESTIMATION OF SPEECH. Available at: http://sigport.org/1637.
Anshuman Ganguly, Issa Panahi. (2017). "ICA BASED SINGLE MICROPHONE BLIND SPEECH SEPARATION TECHNIQUE USING NON-LINEAR ESTIMATION OF SPEECH." Web.
1. Anshuman Ganguly, Issa Panahi. ICA BASED SINGLE MICROPHONE BLIND SPEECH SEPARATION TECHNIQUE USING NON-LINEAR ESTIMATION OF SPEECH [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1637

SPEECH DEREVERBERATION USING NMF WITH REGULARIZED ROOM IMPULSE RESPONSE


In this paper, various regularizations on the room impulse response
(RIR) are proposed to obtain better single-channel speech derever-
beration in the non-negative matrix factorization (NMF) framework.
The regularizations on the RIR are motivated by the spectral domain
representation of the RIR. To obtain better estimates of the RIR and
clean speech, we propose three modifications (i) to obtain a sparse
RIR (ii) a frequency envelop constrained RIR and (iii) to include the
early part of the RIR. The performance of the proposed regularizers

Paper Details

Authors:
Nikhil Mohanan,Rajbabu Velmurugan,Preeti Rao
Submitted On:
2 March 2017 - 7:45am
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mohanan_icassp2017.pdf

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[1] Nikhil Mohanan,Rajbabu Velmurugan,Preeti Rao, "SPEECH DEREVERBERATION USING NMF WITH REGULARIZED ROOM IMPULSE RESPONSE", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1584. Accessed: Jul. 27, 2017.
@article{1584-17,
url = {http://sigport.org/1584},
author = {Nikhil Mohanan;Rajbabu Velmurugan;Preeti Rao },
publisher = {IEEE SigPort},
title = {SPEECH DEREVERBERATION USING NMF WITH REGULARIZED ROOM IMPULSE RESPONSE},
year = {2017} }
TY - EJOUR
T1 - SPEECH DEREVERBERATION USING NMF WITH REGULARIZED ROOM IMPULSE RESPONSE
AU - Nikhil Mohanan;Rajbabu Velmurugan;Preeti Rao
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1584
ER -
Nikhil Mohanan,Rajbabu Velmurugan,Preeti Rao. (2017). SPEECH DEREVERBERATION USING NMF WITH REGULARIZED ROOM IMPULSE RESPONSE. IEEE SigPort. http://sigport.org/1584
Nikhil Mohanan,Rajbabu Velmurugan,Preeti Rao, 2017. SPEECH DEREVERBERATION USING NMF WITH REGULARIZED ROOM IMPULSE RESPONSE. Available at: http://sigport.org/1584.
Nikhil Mohanan,Rajbabu Velmurugan,Preeti Rao. (2017). "SPEECH DEREVERBERATION USING NMF WITH REGULARIZED ROOM IMPULSE RESPONSE." Web.
1. Nikhil Mohanan,Rajbabu Velmurugan,Preeti Rao. SPEECH DEREVERBERATION USING NMF WITH REGULARIZED ROOM IMPULSE RESPONSE [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1584

A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA


This paper provides a detailed comparison study between three different vehicles’ Bluetooth built-in noise cancellation filter with two widely used techniques in speech enhancement, Spectral Subtraction (SS) and Wiener filtering (WF). The main purpose is to determine if any of these two filters provide superior audio quality over the built-in filter.

Paper Details

Authors:
Sam Tabaja, Sai-Prithvi Gadde, Nabih Jaber, Philip Olivier, Mahdi Ali, Rakan Chabaan, Scott Bone
Submitted On:
6 December 2016 - 10:53pm
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Slides

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[1] Sam Tabaja, Sai-Prithvi Gadde, Nabih Jaber, Philip Olivier, Mahdi Ali, Rakan Chabaan, Scott Bone, "A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1392. Accessed: Jul. 27, 2017.
@article{1392-16,
url = {http://sigport.org/1392},
author = {Sam Tabaja; Sai-Prithvi Gadde; Nabih Jaber; Philip Olivier; Mahdi Ali; Rakan Chabaan; Scott Bone },
publisher = {IEEE SigPort},
title = {A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA},
year = {2016} }
TY - EJOUR
T1 - A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA
AU - Sam Tabaja; Sai-Prithvi Gadde; Nabih Jaber; Philip Olivier; Mahdi Ali; Rakan Chabaan; Scott Bone
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1392
ER -
Sam Tabaja, Sai-Prithvi Gadde, Nabih Jaber, Philip Olivier, Mahdi Ali, Rakan Chabaan, Scott Bone. (2016). A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA. IEEE SigPort. http://sigport.org/1392
Sam Tabaja, Sai-Prithvi Gadde, Nabih Jaber, Philip Olivier, Mahdi Ali, Rakan Chabaan, Scott Bone, 2016. A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA. Available at: http://sigport.org/1392.
Sam Tabaja, Sai-Prithvi Gadde, Nabih Jaber, Philip Olivier, Mahdi Ali, Rakan Chabaan, Scott Bone. (2016). "A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA." Web.
1. Sam Tabaja, Sai-Prithvi Gadde, Nabih Jaber, Philip Olivier, Mahdi Ali, Rakan Chabaan, Scott Bone. A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1392

A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA


This paper provides a detailed comparison study between three different vehicles’ Bluetooth built-in noise cancellation filter with two widely used techniques in speech enhancement, Spectral Subtraction (SS) and Wiener filtering (WF). The main purpose is to determine if any of these two filters provide superior audio quality over the built-in filter.

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Submitted On:
7 December 2016 - 10:44am
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SS_vs_WF_GlobalSIP16.pdf

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[1] , "A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1389. Accessed: Jul. 27, 2017.
@article{1389-16,
url = {http://sigport.org/1389},
author = { },
publisher = {IEEE SigPort},
title = {A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA},
year = {2016} }
TY - EJOUR
T1 - A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1389
ER -
. (2016). A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA. IEEE SigPort. http://sigport.org/1389
, 2016. A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA. Available at: http://sigport.org/1389.
. (2016). "A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA." Web.
1. . A QUANTITATIVE ANALYSIS OF HANDS-FREE SPEECH ENHANCEMENT USING REAL AUTOMOBILE DATA [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1389

Deep Neural Network for Robust Speech Recognition With Auxiliary Features From Laser-Doppler Vibrometer Sensor

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Authors:
Jun Du, Ian McLoughlin, Yong Xu, Feng Ma, Haikun Wang
Submitted On:
15 October 2016 - 1:32am
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ISCSLP2016--Zhipeng_Xie_LDVs.pptx

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ISCSLP2016--Zhipeng_Xie_LDVs.pdf

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[1] Jun Du, Ian McLoughlin, Yong Xu, Feng Ma, Haikun Wang, "Deep Neural Network for Robust Speech Recognition With Auxiliary Features From Laser-Doppler Vibrometer Sensor", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1194. Accessed: Jul. 27, 2017.
@article{1194-16,
url = {http://sigport.org/1194},
author = {Jun Du; Ian McLoughlin; Yong Xu; Feng Ma; Haikun Wang },
publisher = {IEEE SigPort},
title = {Deep Neural Network for Robust Speech Recognition With Auxiliary Features From Laser-Doppler Vibrometer Sensor},
year = {2016} }
TY - EJOUR
T1 - Deep Neural Network for Robust Speech Recognition With Auxiliary Features From Laser-Doppler Vibrometer Sensor
AU - Jun Du; Ian McLoughlin; Yong Xu; Feng Ma; Haikun Wang
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1194
ER -
Jun Du, Ian McLoughlin, Yong Xu, Feng Ma, Haikun Wang. (2016). Deep Neural Network for Robust Speech Recognition With Auxiliary Features From Laser-Doppler Vibrometer Sensor. IEEE SigPort. http://sigport.org/1194
Jun Du, Ian McLoughlin, Yong Xu, Feng Ma, Haikun Wang, 2016. Deep Neural Network for Robust Speech Recognition With Auxiliary Features From Laser-Doppler Vibrometer Sensor. Available at: http://sigport.org/1194.
Jun Du, Ian McLoughlin, Yong Xu, Feng Ma, Haikun Wang. (2016). "Deep Neural Network for Robust Speech Recognition With Auxiliary Features From Laser-Doppler Vibrometer Sensor." Web.
1. Jun Du, Ian McLoughlin, Yong Xu, Feng Ma, Haikun Wang. Deep Neural Network for Robust Speech Recognition With Auxiliary Features From Laser-Doppler Vibrometer Sensor [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1194

Speech Enhancement Based on Nonparametric Factor Analysis

Paper Details

Authors:
Lin Li, Jiawen Wu, Xinghao Ding, Qingyang Hong, Delu Zeng
Submitted On:
14 October 2016 - 3:02am
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98-Speech Enhancement Based on Nonparametric Factor Analysis

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[1] Lin Li, Jiawen Wu, Xinghao Ding, Qingyang Hong, Delu Zeng, "Speech Enhancement Based on Nonparametric Factor Analysis", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1182. Accessed: Jul. 27, 2017.
@article{1182-16,
url = {http://sigport.org/1182},
author = {Lin Li; Jiawen Wu; Xinghao Ding; Qingyang Hong; Delu Zeng },
publisher = {IEEE SigPort},
title = {Speech Enhancement Based on Nonparametric Factor Analysis},
year = {2016} }
TY - EJOUR
T1 - Speech Enhancement Based on Nonparametric Factor Analysis
AU - Lin Li; Jiawen Wu; Xinghao Ding; Qingyang Hong; Delu Zeng
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1182
ER -
Lin Li, Jiawen Wu, Xinghao Ding, Qingyang Hong, Delu Zeng. (2016). Speech Enhancement Based on Nonparametric Factor Analysis. IEEE SigPort. http://sigport.org/1182
Lin Li, Jiawen Wu, Xinghao Ding, Qingyang Hong, Delu Zeng, 2016. Speech Enhancement Based on Nonparametric Factor Analysis. Available at: http://sigport.org/1182.
Lin Li, Jiawen Wu, Xinghao Ding, Qingyang Hong, Delu Zeng. (2016). "Speech Enhancement Based on Nonparametric Factor Analysis." Web.
1. Lin Li, Jiawen Wu, Xinghao Ding, Qingyang Hong, Delu Zeng. Speech Enhancement Based on Nonparametric Factor Analysis [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1182

Dual-microphone voice activity detection based on using optimally weighted maximum a posteriori probability

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Submitted On:
22 March 2016 - 1:56am
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poster.pdf

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[1] , "Dual-microphone voice activity detection based on using optimally weighted maximum a posteriori probability", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/952. Accessed: Jul. 27, 2017.
@article{952-16,
url = {http://sigport.org/952},
author = { },
publisher = {IEEE SigPort},
title = {Dual-microphone voice activity detection based on using optimally weighted maximum a posteriori probability},
year = {2016} }
TY - EJOUR
T1 - Dual-microphone voice activity detection based on using optimally weighted maximum a posteriori probability
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/952
ER -
. (2016). Dual-microphone voice activity detection based on using optimally weighted maximum a posteriori probability. IEEE SigPort. http://sigport.org/952
, 2016. Dual-microphone voice activity detection based on using optimally weighted maximum a posteriori probability. Available at: http://sigport.org/952.
. (2016). "Dual-microphone voice activity detection based on using optimally weighted maximum a posteriori probability." Web.
1. . Dual-microphone voice activity detection based on using optimally weighted maximum a posteriori probability [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/952

System-Compatible Robustness Improvement for New Generation DECT Decoders by G.722 Soft-Decision Decoding


The ITU-T Recommendation G.722 about subband adaptive differential pulse code modulation (SB-ADPCM) is the mandatory wideband speech codec in the new generation digital enhanced cordless telephony (NG-DECT). Although in ADPCM the difference signal instead of the original signal is quantized and adaptive prediction is employed, redundancy is yet observed within the quantized samples. In this paper we apply a soft-decision speech decoding technique which exploits this redundancy in terms of a priori knowledge and the channel reliability information to NG-DECT.

poster.pdf

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Authors:
Sai Han, Angel M. Gomez, José Luis Pérez-Córdoba, Tim Fingscheidt
Submitted On:
19 March 2016 - 8:58am
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poster.pdf

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[1] Sai Han, Angel M. Gomez, José Luis Pérez-Córdoba, Tim Fingscheidt, "System-Compatible Robustness Improvement for New Generation DECT Decoders by G.722 Soft-Decision Decoding", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/808. Accessed: Jul. 27, 2017.
@article{808-16,
url = {http://sigport.org/808},
author = {Sai Han; Angel M. Gomez; José Luis Pérez-Córdoba; Tim Fingscheidt },
publisher = {IEEE SigPort},
title = {System-Compatible Robustness Improvement for New Generation DECT Decoders by G.722 Soft-Decision Decoding},
year = {2016} }
TY - EJOUR
T1 - System-Compatible Robustness Improvement for New Generation DECT Decoders by G.722 Soft-Decision Decoding
AU - Sai Han; Angel M. Gomez; José Luis Pérez-Córdoba; Tim Fingscheidt
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/808
ER -
Sai Han, Angel M. Gomez, José Luis Pérez-Córdoba, Tim Fingscheidt. (2016). System-Compatible Robustness Improvement for New Generation DECT Decoders by G.722 Soft-Decision Decoding. IEEE SigPort. http://sigport.org/808
Sai Han, Angel M. Gomez, José Luis Pérez-Córdoba, Tim Fingscheidt, 2016. System-Compatible Robustness Improvement for New Generation DECT Decoders by G.722 Soft-Decision Decoding. Available at: http://sigport.org/808.
Sai Han, Angel M. Gomez, José Luis Pérez-Córdoba, Tim Fingscheidt. (2016). "System-Compatible Robustness Improvement for New Generation DECT Decoders by G.722 Soft-Decision Decoding." Web.
1. Sai Han, Angel M. Gomez, José Luis Pérez-Córdoba, Tim Fingscheidt. System-Compatible Robustness Improvement for New Generation DECT Decoders by G.722 Soft-Decision Decoding [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/808

Sparse Reconstruction of Quantized Speech Signals


We propose sparse reconstruction techniques to improve the quality and / or reduce the bit-rate of standard speech coders. To that end, we assume signal sparsity in some transform domain and formulate the problem of reconstructing the original signal in terms of constrained l1-norm minimization. We use modern primal-dual methods in order to solve the resulting non-smooth convex optimization problem. Experiments show that with the proposed sparse reconstruction method the instrumentally predicted speech quality can be largely improved.

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Authors:
Christoph Brauer, Timo Gerkmann, Dirk Lorenz
Submitted On:
17 March 2016 - 12:42pm
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icassp_poster_brauer.pdf

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[1] Christoph Brauer, Timo Gerkmann, Dirk Lorenz, "Sparse Reconstruction of Quantized Speech Signals", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/744. Accessed: Jul. 27, 2017.
@article{744-16,
url = {http://sigport.org/744},
author = {Christoph Brauer; Timo Gerkmann; Dirk Lorenz },
publisher = {IEEE SigPort},
title = {Sparse Reconstruction of Quantized Speech Signals},
year = {2016} }
TY - EJOUR
T1 - Sparse Reconstruction of Quantized Speech Signals
AU - Christoph Brauer; Timo Gerkmann; Dirk Lorenz
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/744
ER -
Christoph Brauer, Timo Gerkmann, Dirk Lorenz. (2016). Sparse Reconstruction of Quantized Speech Signals. IEEE SigPort. http://sigport.org/744
Christoph Brauer, Timo Gerkmann, Dirk Lorenz, 2016. Sparse Reconstruction of Quantized Speech Signals. Available at: http://sigport.org/744.
Christoph Brauer, Timo Gerkmann, Dirk Lorenz. (2016). "Sparse Reconstruction of Quantized Speech Signals." Web.
1. Christoph Brauer, Timo Gerkmann, Dirk Lorenz. Sparse Reconstruction of Quantized Speech Signals [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/744

Multiplicative Update of AR gains in Codebook-driven Speech Enhancement

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Authors:
Qi He,Changchun Bao,Feng Bao
Submitted On:
16 March 2016 - 12:13am
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Multiplicative Update of AR Gains in Codebook-driven Speech Enhancement(ICASSP2016-Qi He).ppt

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[1] Qi He,Changchun Bao,Feng Bao, "Multiplicative Update of AR gains in Codebook-driven Speech Enhancement ", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/664. Accessed: Jul. 27, 2017.
@article{664-16,
url = {http://sigport.org/664},
author = {Qi He;Changchun Bao;Feng Bao },
publisher = {IEEE SigPort},
title = {Multiplicative Update of AR gains in Codebook-driven Speech Enhancement },
year = {2016} }
TY - EJOUR
T1 - Multiplicative Update of AR gains in Codebook-driven Speech Enhancement
AU - Qi He;Changchun Bao;Feng Bao
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/664
ER -
Qi He,Changchun Bao,Feng Bao. (2016). Multiplicative Update of AR gains in Codebook-driven Speech Enhancement . IEEE SigPort. http://sigport.org/664
Qi He,Changchun Bao,Feng Bao, 2016. Multiplicative Update of AR gains in Codebook-driven Speech Enhancement . Available at: http://sigport.org/664.
Qi He,Changchun Bao,Feng Bao. (2016). "Multiplicative Update of AR gains in Codebook-driven Speech Enhancement ." Web.
1. Qi He,Changchun Bao,Feng Bao. Multiplicative Update of AR gains in Codebook-driven Speech Enhancement [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/664

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