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Speech Analysis (SPE-ANLS)

JOINT BAYESIAN ESTIMATION OF TIME-VARYING LP PARAMETERS AND EXCITATION FOR SPEECH

Srikanth Raj Chetupalli
Thippur Sreenivas

We consider the joint estimation of time-varying linear prediction (TVLP) filter coefficients and the excitation signal parameters for the analysis of long-term speech segments. Traditional approaches to TVLP estimation assume linear expansion of the coefficients in a set of known basis functions only. But, excitation signal is also time-varying, which affects the estimation of TVLP filter parameters. In this paper, we propose a Bayesian approach, to incorporate the nature of excitation signal and also adapt regularization of the filter parameters.

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Authors:
Srikanth Raj Chetupalli
Thippur Sreenivas
Submitted On:
25 April 2018 - 9:22am
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[1] , "JOINT BAYESIAN ESTIMATION OF TIME-VARYING LP PARAMETERS AND EXCITATION FOR SPEECH", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3180. Accessed: Mar. 26, 2019.
@article{3180-18,
url = {http://sigport.org/3180},
author = { },
publisher = {IEEE SigPort},
title = {JOINT BAYESIAN ESTIMATION OF TIME-VARYING LP PARAMETERS AND EXCITATION FOR SPEECH},
year = {2018} }
TY - EJOUR
T1 - JOINT BAYESIAN ESTIMATION OF TIME-VARYING LP PARAMETERS AND EXCITATION FOR SPEECH
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3180
ER -
. (2018). JOINT BAYESIAN ESTIMATION OF TIME-VARYING LP PARAMETERS AND EXCITATION FOR SPEECH. IEEE SigPort. http://sigport.org/3180
, 2018. JOINT BAYESIAN ESTIMATION OF TIME-VARYING LP PARAMETERS AND EXCITATION FOR SPEECH. Available at: http://sigport.org/3180.
. (2018). "JOINT BAYESIAN ESTIMATION OF TIME-VARYING LP PARAMETERS AND EXCITATION FOR SPEECH." Web.
1. . JOINT BAYESIAN ESTIMATION OF TIME-VARYING LP PARAMETERS AND EXCITATION FOR SPEECH [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3180

A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS

Bhusan Chettri

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Authors:
Bhusan Chettri
Bhusan Chettri, Bob L. Sturm
Submitted On:
22 April 2018 - 1:26pm
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[1] Bhusan Chettri, Bob L. Sturm, "A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3136. Accessed: Mar. 26, 2019.
@article{3136-18,
url = {http://sigport.org/3136},
author = {Bhusan Chettri; Bob L. Sturm },
publisher = {IEEE SigPort},
title = {A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS},
year = {2018} }
TY - EJOUR
T1 - A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS
AU - Bhusan Chettri; Bob L. Sturm
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3136
ER -
Bhusan Chettri, Bob L. Sturm. (2018). A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS. IEEE SigPort. http://sigport.org/3136
Bhusan Chettri, Bob L. Sturm, 2018. A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS. Available at: http://sigport.org/3136.
Bhusan Chettri, Bob L. Sturm. (2018). "A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS." Web.
1. Bhusan Chettri, Bob L. Sturm. A DEEPER LOOK AT GAUSSIAN MIXTURE MODEL BASED ANTI-SPOOFING SYSTEMS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3136

AN OPEN-SOURCE SPEAKER GENDER DETECTION FRAMEWORK FOR MONITORING GENDER EQUALITY

David Doukhan

This paper presents an approach based on acoustic analysis to describe gender equality in French audiovisual streams, through the estimation of male and female speaking time. Gender detection systems based on Gaussian Mixture Models, i-vectors and Convolutional Neural Networks (CNN) were trained using an internal database of 2,284 French speakers and evaluated using REPERE challenge corpus. The CNN system obtained the best performance with a frame-level gender detection F-measure of 96.52 and a hourly women speaking time percentage error bellow 0.6%.

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Authors:
David Doukhan
Jean Carrive, Félicien Vallet, Anthony Larcher, Sylvain Meignier
Submitted On:
19 April 2018 - 6:49pm
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[1] Jean Carrive, Félicien Vallet, Anthony Larcher, Sylvain Meignier, "AN OPEN-SOURCE SPEAKER GENDER DETECTION FRAMEWORK FOR MONITORING GENDER EQUALITY", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3036. Accessed: Mar. 26, 2019.
@article{3036-18,
url = {http://sigport.org/3036},
author = {Jean Carrive; Félicien Vallet; Anthony Larcher; Sylvain Meignier },
publisher = {IEEE SigPort},
title = {AN OPEN-SOURCE SPEAKER GENDER DETECTION FRAMEWORK FOR MONITORING GENDER EQUALITY},
year = {2018} }
TY - EJOUR
T1 - AN OPEN-SOURCE SPEAKER GENDER DETECTION FRAMEWORK FOR MONITORING GENDER EQUALITY
AU - Jean Carrive; Félicien Vallet; Anthony Larcher; Sylvain Meignier
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3036
ER -
Jean Carrive, Félicien Vallet, Anthony Larcher, Sylvain Meignier. (2018). AN OPEN-SOURCE SPEAKER GENDER DETECTION FRAMEWORK FOR MONITORING GENDER EQUALITY. IEEE SigPort. http://sigport.org/3036
Jean Carrive, Félicien Vallet, Anthony Larcher, Sylvain Meignier, 2018. AN OPEN-SOURCE SPEAKER GENDER DETECTION FRAMEWORK FOR MONITORING GENDER EQUALITY. Available at: http://sigport.org/3036.
Jean Carrive, Félicien Vallet, Anthony Larcher, Sylvain Meignier. (2018). "AN OPEN-SOURCE SPEAKER GENDER DETECTION FRAMEWORK FOR MONITORING GENDER EQUALITY." Web.
1. Jean Carrive, Félicien Vallet, Anthony Larcher, Sylvain Meignier. AN OPEN-SOURCE SPEAKER GENDER DETECTION FRAMEWORK FOR MONITORING GENDER EQUALITY [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3036

Soft-Target Training with Ambiguous Emotional Utterances for DNN-based Speech Emotion Classification

Atsushi Ando

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Authors:
Atsushi Ando
Satoshi Kobashikawa, Hosana Kamiyama, Ryo Masumura, Yusuke Ijima, Yushi Aono
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19 April 2018 - 7:14am
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ICASSP2018_ando_EmoSoftTarget_v5_pub.pdf

ICASSP2018_ando_EmoSoftTarget_v6_pub.pdf

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[1] Satoshi Kobashikawa, Hosana Kamiyama, Ryo Masumura, Yusuke Ijima, Yushi Aono, "Soft-Target Training with Ambiguous Emotional Utterances for DNN-based Speech Emotion Classification", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2974. Accessed: Mar. 26, 2019.
@article{2974-18,
url = {http://sigport.org/2974},
author = {Satoshi Kobashikawa; Hosana Kamiyama; Ryo Masumura; Yusuke Ijima; Yushi Aono },
publisher = {IEEE SigPort},
title = {Soft-Target Training with Ambiguous Emotional Utterances for DNN-based Speech Emotion Classification},
year = {2018} }
TY - EJOUR
T1 - Soft-Target Training with Ambiguous Emotional Utterances for DNN-based Speech Emotion Classification
AU - Satoshi Kobashikawa; Hosana Kamiyama; Ryo Masumura; Yusuke Ijima; Yushi Aono
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2974
ER -
Satoshi Kobashikawa, Hosana Kamiyama, Ryo Masumura, Yusuke Ijima, Yushi Aono. (2018). Soft-Target Training with Ambiguous Emotional Utterances for DNN-based Speech Emotion Classification. IEEE SigPort. http://sigport.org/2974
Satoshi Kobashikawa, Hosana Kamiyama, Ryo Masumura, Yusuke Ijima, Yushi Aono, 2018. Soft-Target Training with Ambiguous Emotional Utterances for DNN-based Speech Emotion Classification. Available at: http://sigport.org/2974.
Satoshi Kobashikawa, Hosana Kamiyama, Ryo Masumura, Yusuke Ijima, Yushi Aono. (2018). "Soft-Target Training with Ambiguous Emotional Utterances for DNN-based Speech Emotion Classification." Web.
1. Satoshi Kobashikawa, Hosana Kamiyama, Ryo Masumura, Yusuke Ijima, Yushi Aono. Soft-Target Training with Ambiguous Emotional Utterances for DNN-based Speech Emotion Classification [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2974

UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING

Na Liu

In this paper, we investigate an interesting problem, i.e., unsupervised cross-corpus speech emotion recognition (SER), in which the training and testing speech signals come from two different speech emotion corpora. Meanwhile, the training speech signals are labeled, while the label information of the testing speech signals is entirely unknown. Due to this setting, the training (source) and testing (target) speech signals may have different feature distributions and therefore lots of existing SER methods would not work.

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Authors:
Na Liu
Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu
Submitted On:
13 April 2018 - 8:10am
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ICASSP2018_2600.pdf

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[1] Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu , "UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2692. Accessed: Mar. 26, 2019.
@article{2692-18,
url = {http://sigport.org/2692},
author = {Yuan Zong; Baofeng Zhang; Li Liu; Jie Chen; Guoying Zhao; Junchao Zhu },
publisher = {IEEE SigPort},
title = {UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING},
year = {2018} }
TY - EJOUR
T1 - UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING
AU - Yuan Zong; Baofeng Zhang; Li Liu; Jie Chen; Guoying Zhao; Junchao Zhu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2692
ER -
Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu . (2018). UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING. IEEE SigPort. http://sigport.org/2692
Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu , 2018. UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING. Available at: http://sigport.org/2692.
Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu . (2018). "UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING." Web.
1. Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu . UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2692

UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING

Na Liu

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Authors:
Na Liu
Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu
Submitted On:
13 April 2018 - 8:10am
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[1] Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu , "UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2690. Accessed: Mar. 26, 2019.
@article{2690-18,
url = {http://sigport.org/2690},
author = {Yuan Zong; Baofeng Zhang; Li Liu; Jie Chen; Guoying Zhao; Junchao Zhu },
publisher = {IEEE SigPort},
title = {UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING},
year = {2018} }
TY - EJOUR
T1 - UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING
AU - Yuan Zong; Baofeng Zhang; Li Liu; Jie Chen; Guoying Zhao; Junchao Zhu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2690
ER -
Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu . (2018). UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING. IEEE SigPort. http://sigport.org/2690
Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu , 2018. UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING. Available at: http://sigport.org/2690.
Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu . (2018). "UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING." Web.
1. Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu . UNSUPERVISED CROSS-CORPUS SPEECH EMOTION RECOGNITION USING DOMAIN-ADAPTIVE SUBSPACE LEARNING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2690

UNOBTRUSIVE MONITORING OF SPEECH IMPAIRMENTS OF PARKINSON'S DISEASE PATIENTS THROUGH MOBILE DEVICES

Juan Vasquez-Correa
Philipp Klumpp
Elmar Noeth

Parkinson’s disease (PD) produces several speech impairments in the patients. Automatic classification of PD patients is performed considering speech recordings collected in non- controlled acoustic conditions during normal phone calls in a unobtrusive way. A speech enhancement algorithm is applied to improve the quality of the signals. Two different classification approaches are considered: the classification of PD patients and healthy speakers and a multi-class experiment to classify patients in several stages of the disease.

Paper Details

Authors:
Juan Vasquez-Correa
Philipp Klumpp
Elmar Noeth
T. Arias-Vergara, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, P. Klumpp, E. Noeth
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13 April 2018 - 7:08am
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[1] T. Arias-Vergara, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, P. Klumpp, E. Noeth, "UNOBTRUSIVE MONITORING OF SPEECH IMPAIRMENTS OF PARKINSON'S DISEASE PATIENTS THROUGH MOBILE DEVICES", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2688. Accessed: Mar. 26, 2019.
@article{2688-18,
url = {http://sigport.org/2688},
author = {T. Arias-Vergara; J.C. Vásquez-Correa; J.R. Orozco-Arroyave; P. Klumpp; E. Noeth },
publisher = {IEEE SigPort},
title = {UNOBTRUSIVE MONITORING OF SPEECH IMPAIRMENTS OF PARKINSON'S DISEASE PATIENTS THROUGH MOBILE DEVICES},
year = {2018} }
TY - EJOUR
T1 - UNOBTRUSIVE MONITORING OF SPEECH IMPAIRMENTS OF PARKINSON'S DISEASE PATIENTS THROUGH MOBILE DEVICES
AU - T. Arias-Vergara; J.C. Vásquez-Correa; J.R. Orozco-Arroyave; P. Klumpp; E. Noeth
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2688
ER -
T. Arias-Vergara, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, P. Klumpp, E. Noeth. (2018). UNOBTRUSIVE MONITORING OF SPEECH IMPAIRMENTS OF PARKINSON'S DISEASE PATIENTS THROUGH MOBILE DEVICES. IEEE SigPort. http://sigport.org/2688
T. Arias-Vergara, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, P. Klumpp, E. Noeth, 2018. UNOBTRUSIVE MONITORING OF SPEECH IMPAIRMENTS OF PARKINSON'S DISEASE PATIENTS THROUGH MOBILE DEVICES. Available at: http://sigport.org/2688.
T. Arias-Vergara, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, P. Klumpp, E. Noeth. (2018). "UNOBTRUSIVE MONITORING OF SPEECH IMPAIRMENTS OF PARKINSON'S DISEASE PATIENTS THROUGH MOBILE DEVICES." Web.
1. T. Arias-Vergara, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, P. Klumpp, E. Noeth. UNOBTRUSIVE MONITORING OF SPEECH IMPAIRMENTS OF PARKINSON'S DISEASE PATIENTS THROUGH MOBILE DEVICES [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2688

Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals

Debsubhra Chakraborty
Justin Dauwels

Negative symptoms of schizophrenia are often associated with the blunting of emotional affect which creates a serious impediment in the daily functioning of the patients. Affective prosody is almost always adversely impacted in such cases, and is known to exhibit itself through the low-level acoustic signals of prosody. To automate and simplify the process of assessment of severity of emotion related symptoms of schizophrenia, we utilized these low-level acoustic signals to predict the expert subjective ratings assigned by a trained psychologist during an interview with the patient.

Paper Details

Authors:
Debsubhra Chakraborty
Justin Dauwels
Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee
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12 April 2018 - 12:16pm
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[1] Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee, "Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2428. Accessed: Mar. 26, 2019.
@article{2428-18,
url = {http://sigport.org/2428},
author = {Debsubhra Chakrabortyy; Zixu Yang; Yasir Tahir; Tomasz Maszczyk; Justin Dauwels; Nadia Thalmann; Jianmin Zheng; Yogeswary Maniam; Nur Amirah; Bhing Leet Tan and Jimmy Lee },
publisher = {IEEE SigPort},
title = {Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals},
year = {2018} }
TY - EJOUR
T1 - Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals
AU - Debsubhra Chakrabortyy; Zixu Yang; Yasir Tahir; Tomasz Maszczyk; Justin Dauwels; Nadia Thalmann; Jianmin Zheng; Yogeswary Maniam; Nur Amirah; Bhing Leet Tan and Jimmy Lee
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2428
ER -
Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee. (2018). Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. IEEE SigPort. http://sigport.org/2428
Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee, 2018. Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals. Available at: http://sigport.org/2428.
Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee. (2018). "Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals." Web.
1. Debsubhra Chakrabortyy, Zixu Yang, Yasir Tahir, Tomasz Maszczyk, Justin Dauwels, Nadia Thalmann, Jianmin Zheng, Yogeswary Maniam, Nur Amirah, Bhing Leet Tan and Jimmy Lee. Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-Level Speech Signals [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2428

MEASURING UNCERTAINTY IN DEEP REGRESSION MODELS: THE CASE OF AGE ESTIMATION FROM SPEECH

Nanxin Chen

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Authors:
Nanxin Chen
Nanxin Chen, Jesus Villalba, Yishay Carmiel, Najim Dehak
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18 April 2018 - 4:08pm
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[1] Nanxin Chen, Jesus Villalba, Yishay Carmiel, Najim Dehak, "MEASURING UNCERTAINTY IN DEEP REGRESSION MODELS: THE CASE OF AGE ESTIMATION FROM SPEECH", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2425. Accessed: Mar. 26, 2019.
@article{2425-18,
url = {http://sigport.org/2425},
author = {Nanxin Chen; Jesus Villalba; Yishay Carmiel; Najim Dehak },
publisher = {IEEE SigPort},
title = {MEASURING UNCERTAINTY IN DEEP REGRESSION MODELS: THE CASE OF AGE ESTIMATION FROM SPEECH},
year = {2018} }
TY - EJOUR
T1 - MEASURING UNCERTAINTY IN DEEP REGRESSION MODELS: THE CASE OF AGE ESTIMATION FROM SPEECH
AU - Nanxin Chen; Jesus Villalba; Yishay Carmiel; Najim Dehak
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2425
ER -
Nanxin Chen, Jesus Villalba, Yishay Carmiel, Najim Dehak. (2018). MEASURING UNCERTAINTY IN DEEP REGRESSION MODELS: THE CASE OF AGE ESTIMATION FROM SPEECH. IEEE SigPort. http://sigport.org/2425
Nanxin Chen, Jesus Villalba, Yishay Carmiel, Najim Dehak, 2018. MEASURING UNCERTAINTY IN DEEP REGRESSION MODELS: THE CASE OF AGE ESTIMATION FROM SPEECH. Available at: http://sigport.org/2425.
Nanxin Chen, Jesus Villalba, Yishay Carmiel, Najim Dehak. (2018). "MEASURING UNCERTAINTY IN DEEP REGRESSION MODELS: THE CASE OF AGE ESTIMATION FROM SPEECH." Web.
1. Nanxin Chen, Jesus Villalba, Yishay Carmiel, Najim Dehak. MEASURING UNCERTAINTY IN DEEP REGRESSION MODELS: THE CASE OF AGE ESTIMATION FROM SPEECH [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2425

Learning Cross-lingual Knowledge with Multilingual BLSTM for Emphasis Detection with Limited Training Data

Yishuang Ning

Bidirectional long short-term memory (BLSTM) recurrent neural network (RNN) has achieved state-of-the-art performance in many sequence processing problems given its capability in capturing contextual information. However, for languages with limited amount of training data, it is still difficult to obtain a high quality BLSTM model for emphasis detection, the aim of which is to recognize the emphasized speech segments from natural speech.

Paper Details

Authors:
Yishuang Ning
Yishuang Ning, Zhiyong Wu, Runnan Li, Jia Jia, Mingxing Xu, Helen Meng, Lianhong Cai
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4 March 2017 - 10:26am
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[1] Yishuang Ning, Zhiyong Wu, Runnan Li, Jia Jia, Mingxing Xu, Helen Meng, Lianhong Cai, "Learning Cross-lingual Knowledge with Multilingual BLSTM for Emphasis Detection with Limited Training Data", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1626. Accessed: Mar. 26, 2019.
@article{1626-17,
url = {http://sigport.org/1626},
author = {Yishuang Ning; Zhiyong Wu; Runnan Li; Jia Jia; Mingxing Xu; Helen Meng; Lianhong Cai },
publisher = {IEEE SigPort},
title = {Learning Cross-lingual Knowledge with Multilingual BLSTM for Emphasis Detection with Limited Training Data},
year = {2017} }
TY - EJOUR
T1 - Learning Cross-lingual Knowledge with Multilingual BLSTM for Emphasis Detection with Limited Training Data
AU - Yishuang Ning; Zhiyong Wu; Runnan Li; Jia Jia; Mingxing Xu; Helen Meng; Lianhong Cai
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1626
ER -
Yishuang Ning, Zhiyong Wu, Runnan Li, Jia Jia, Mingxing Xu, Helen Meng, Lianhong Cai. (2017). Learning Cross-lingual Knowledge with Multilingual BLSTM for Emphasis Detection with Limited Training Data. IEEE SigPort. http://sigport.org/1626
Yishuang Ning, Zhiyong Wu, Runnan Li, Jia Jia, Mingxing Xu, Helen Meng, Lianhong Cai, 2017. Learning Cross-lingual Knowledge with Multilingual BLSTM for Emphasis Detection with Limited Training Data. Available at: http://sigport.org/1626.
Yishuang Ning, Zhiyong Wu, Runnan Li, Jia Jia, Mingxing Xu, Helen Meng, Lianhong Cai. (2017). "Learning Cross-lingual Knowledge with Multilingual BLSTM for Emphasis Detection with Limited Training Data." Web.
1. Yishuang Ning, Zhiyong Wu, Runnan Li, Jia Jia, Mingxing Xu, Helen Meng, Lianhong Cai. Learning Cross-lingual Knowledge with Multilingual BLSTM for Emphasis Detection with Limited Training Data [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1626

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