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Speech Processing

Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects


In this work, we consider the task of acoustic and articulatory feature based automatic classification of Amyotrophic Lateral Sclerosis (ALS) patients and healthy subjects using speech tasks. In particular, we compare the roles of different types of speech tasks, namely rehearsed speech, spontaneous speech and repeated words for this purpose. Simultaneous articulatory and speech data were recorded from 8 healthy controls and 8 ALS patients using AG501 for the classification experiments.

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Authors:
Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh
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24 April 2018 - 1:18am
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ICASSP_Final_April21.pdf

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[1] Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh, "Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3158. Accessed: Aug. 21, 2018.
@article{3158-18,
url = {http://sigport.org/3158},
author = {Deep Patel; BK Yaminiy; Meera SSy; Shivashankar Ny; Preethish-Kumar Veeramaniz; Seena Vengalilz; Kiran Polavarapuz; Saraswati Nashiz; Atchayaram Naliniz; Prasanta Kumar Ghosh },
publisher = {IEEE SigPort},
title = {Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects},
year = {2018} }
TY - EJOUR
T1 - Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects
AU - Deep Patel; BK Yaminiy; Meera SSy; Shivashankar Ny; Preethish-Kumar Veeramaniz; Seena Vengalilz; Kiran Polavarapuz; Saraswati Nashiz; Atchayaram Naliniz; Prasanta Kumar Ghosh
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3158
ER -
Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh. (2018). Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects. IEEE SigPort. http://sigport.org/3158
Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh, 2018. Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects. Available at: http://sigport.org/3158.
Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh. (2018). "Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects." Web.
1. Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh. Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3158

PARALLEL-DATA-FREE DICTIONARY LEARNING FOR VOICE CONVERSION USING NON-NEGATIVE TUCKER DECOMPOSITION

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Authors:
Hajime Yano, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki
Submitted On:
20 April 2018 - 2:22am
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[1] Hajime Yano, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki, "PARALLEL-DATA-FREE DICTIONARY LEARNING FOR VOICE CONVERSION USING NON-NEGATIVE TUCKER DECOMPOSITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3086. Accessed: Aug. 21, 2018.
@article{3086-18,
url = {http://sigport.org/3086},
author = {Hajime Yano; Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki },
publisher = {IEEE SigPort},
title = {PARALLEL-DATA-FREE DICTIONARY LEARNING FOR VOICE CONVERSION USING NON-NEGATIVE TUCKER DECOMPOSITION},
year = {2018} }
TY - EJOUR
T1 - PARALLEL-DATA-FREE DICTIONARY LEARNING FOR VOICE CONVERSION USING NON-NEGATIVE TUCKER DECOMPOSITION
AU - Hajime Yano; Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3086
ER -
Hajime Yano, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki. (2018). PARALLEL-DATA-FREE DICTIONARY LEARNING FOR VOICE CONVERSION USING NON-NEGATIVE TUCKER DECOMPOSITION. IEEE SigPort. http://sigport.org/3086
Hajime Yano, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki, 2018. PARALLEL-DATA-FREE DICTIONARY LEARNING FOR VOICE CONVERSION USING NON-NEGATIVE TUCKER DECOMPOSITION. Available at: http://sigport.org/3086.
Hajime Yano, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki. (2018). "PARALLEL-DATA-FREE DICTIONARY LEARNING FOR VOICE CONVERSION USING NON-NEGATIVE TUCKER DECOMPOSITION." Web.
1. Hajime Yano, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki. PARALLEL-DATA-FREE DICTIONARY LEARNING FOR VOICE CONVERSION USING NON-NEGATIVE TUCKER DECOMPOSITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3086

ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION


In this paper, we study the role of long-time analytic phase of speech
signals in spoken language recognition (SLR) and employ a set
of features termed as instantaneous frequency cepstral coefficients
(IFCC). We extract IFCC from long-time analytic phase, in an effort
to capture long range acoustic features from speech signals. These
features are used in combination with the traditional shifted delta
cepstral coefficients (SDCC) for SLR. As the SDCC are extracted
from spectral magnitude and IFCC are from analytic phase, they

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Authors:
Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee
Submitted On:
19 April 2018 - 9:06pm
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[1] Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee, "ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3047. Accessed: Aug. 21, 2018.
@article{3047-18,
url = {http://sigport.org/3047},
author = {Karthika Vijayan; Haizhou Li; Hanwu Sun; Kong Aik Lee },
publisher = {IEEE SigPort},
title = {ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION},
year = {2018} }
TY - EJOUR
T1 - ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION
AU - Karthika Vijayan; Haizhou Li; Hanwu Sun; Kong Aik Lee
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3047
ER -
Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee. (2018). ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION. IEEE SigPort. http://sigport.org/3047
Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee, 2018. ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION. Available at: http://sigport.org/3047.
Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee. (2018). "ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION." Web.
1. Karthika Vijayan, Haizhou Li, Hanwu Sun, Kong Aik Lee. ON THE IMPORTANCE OF ANALYTIC PHASE OF SPEECH SIGNALS IN SPOKEN LANGUAGE RECOGNITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3047

An Instrumental Intelligibility Metric Based on Information Theory

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Authors:
Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks
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19 April 2018 - 3:49pm
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[1] Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks, "An Instrumental Intelligibility Metric Based on Information Theory", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3014. Accessed: Aug. 21, 2018.
@article{3014-18,
url = {http://sigport.org/3014},
author = {Steven Van Kuyk; W. Bastiaan Kleijn; Richard C. Hendriks },
publisher = {IEEE SigPort},
title = {An Instrumental Intelligibility Metric Based on Information Theory},
year = {2018} }
TY - EJOUR
T1 - An Instrumental Intelligibility Metric Based on Information Theory
AU - Steven Van Kuyk; W. Bastiaan Kleijn; Richard C. Hendriks
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3014
ER -
Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks. (2018). An Instrumental Intelligibility Metric Based on Information Theory. IEEE SigPort. http://sigport.org/3014
Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks, 2018. An Instrumental Intelligibility Metric Based on Information Theory. Available at: http://sigport.org/3014.
Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks. (2018). "An Instrumental Intelligibility Metric Based on Information Theory." Web.
1. Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks. An Instrumental Intelligibility Metric Based on Information Theory [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3014

CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON ENGLISH AND FRENCH

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16 April 2018 - 6:27pm
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[1] , "CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON ENGLISH AND FRENCH", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2920. Accessed: Aug. 21, 2018.
@article{2920-18,
url = {http://sigport.org/2920},
author = { },
publisher = {IEEE SigPort},
title = {CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON ENGLISH AND FRENCH},
year = {2018} }
TY - EJOUR
T1 - CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON ENGLISH AND FRENCH
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2920
ER -
. (2018). CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON ENGLISH AND FRENCH. IEEE SigPort. http://sigport.org/2920
, 2018. CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON ENGLISH AND FRENCH. Available at: http://sigport.org/2920.
. (2018). "CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON ENGLISH AND FRENCH." Web.
1. . CROSS-LINGUAL AND MULTILINGUAL SPEECH EMOTION RECOGNITION ON ENGLISH AND FRENCH [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2920

3-D CNN Models FOR FAR-FIELD MULTI-CHANNEL Speech Recognition

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16 April 2018 - 4:44am
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[1] , "3-D CNN Models FOR FAR-FIELD MULTI-CHANNEL Speech Recognition", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2911. Accessed: Aug. 21, 2018.
@article{2911-18,
url = {http://sigport.org/2911},
author = { },
publisher = {IEEE SigPort},
title = {3-D CNN Models FOR FAR-FIELD MULTI-CHANNEL Speech Recognition},
year = {2018} }
TY - EJOUR
T1 - 3-D CNN Models FOR FAR-FIELD MULTI-CHANNEL Speech Recognition
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2911
ER -
. (2018). 3-D CNN Models FOR FAR-FIELD MULTI-CHANNEL Speech Recognition. IEEE SigPort. http://sigport.org/2911
, 2018. 3-D CNN Models FOR FAR-FIELD MULTI-CHANNEL Speech Recognition. Available at: http://sigport.org/2911.
. (2018). "3-D CNN Models FOR FAR-FIELD MULTI-CHANNEL Speech Recognition." Web.
1. . 3-D CNN Models FOR FAR-FIELD MULTI-CHANNEL Speech Recognition [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2911

DYNAMIC MULTI-RATER GAUSSIAN MIXTURE REGRESSION INCORPORATING TEMPORAL DEPENDENCIES OF EMOTION UNCERTAINTY USING KALMAN FILTERS


Predicting continuous emotion in terms of affective attrib-utes has mainly been focused on hard labels, which ignored the ambiguity of recognizing certain emotions. This ambigu-ity may result in high inter-rater variability and in turn caus-es varying prediction uncertainty with time. Based on the assumption that temporal dependencies occur in the evolu-tion of emotion uncertainty, this paper proposes a dynamic multi-rater Gaussian Mixture Regression (GMR), aiming to obtain the emotion uncertainty prediction reflected by multi-raters by taking into account their temporal dependencies.

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Authors:
Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah,
Submitted On:
23 April 2018 - 6:03pm
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icassp2018_tingdang_pdf.pdf

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[1] Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah,, "DYNAMIC MULTI-RATER GAUSSIAN MIXTURE REGRESSION INCORPORATING TEMPORAL DEPENDENCIES OF EMOTION UNCERTAINTY USING KALMAN FILTERS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2823. Accessed: Aug. 21, 2018.
@article{2823-18,
url = {http://sigport.org/2823},
author = {Ting Dang; Vidhyasaharan Sethu; Eliathamby Ambikairajah; },
publisher = {IEEE SigPort},
title = {DYNAMIC MULTI-RATER GAUSSIAN MIXTURE REGRESSION INCORPORATING TEMPORAL DEPENDENCIES OF EMOTION UNCERTAINTY USING KALMAN FILTERS},
year = {2018} }
TY - EJOUR
T1 - DYNAMIC MULTI-RATER GAUSSIAN MIXTURE REGRESSION INCORPORATING TEMPORAL DEPENDENCIES OF EMOTION UNCERTAINTY USING KALMAN FILTERS
AU - Ting Dang; Vidhyasaharan Sethu; Eliathamby Ambikairajah;
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2823
ER -
Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah,. (2018). DYNAMIC MULTI-RATER GAUSSIAN MIXTURE REGRESSION INCORPORATING TEMPORAL DEPENDENCIES OF EMOTION UNCERTAINTY USING KALMAN FILTERS. IEEE SigPort. http://sigport.org/2823
Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah,, 2018. DYNAMIC MULTI-RATER GAUSSIAN MIXTURE REGRESSION INCORPORATING TEMPORAL DEPENDENCIES OF EMOTION UNCERTAINTY USING KALMAN FILTERS. Available at: http://sigport.org/2823.
Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah,. (2018). "DYNAMIC MULTI-RATER GAUSSIAN MIXTURE REGRESSION INCORPORATING TEMPORAL DEPENDENCIES OF EMOTION UNCERTAINTY USING KALMAN FILTERS." Web.
1. Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah,. DYNAMIC MULTI-RATER GAUSSIAN MIXTURE REGRESSION INCORPORATING TEMPORAL DEPENDENCIES OF EMOTION UNCERTAINTY USING KALMAN FILTERS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2823

COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT

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13 April 2018 - 1:56am
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[1] , "COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2615. Accessed: Aug. 21, 2018.
@article{2615-18,
url = {http://sigport.org/2615},
author = { },
publisher = {IEEE SigPort},
title = {COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT},
year = {2018} }
TY - EJOUR
T1 - COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2615
ER -
. (2018). COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT. IEEE SigPort. http://sigport.org/2615
, 2018. COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT. Available at: http://sigport.org/2615.
. (2018). "COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT." Web.
1. . COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2615

COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT

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13 April 2018 - 1:56am
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[1] , "COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2613. Accessed: Aug. 21, 2018.
@article{2613-18,
url = {http://sigport.org/2613},
author = { },
publisher = {IEEE SigPort},
title = {COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT},
year = {2018} }
TY - EJOUR
T1 - COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2613
ER -
. (2018). COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT. IEEE SigPort. http://sigport.org/2613
, 2018. COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT. Available at: http://sigport.org/2613.
. (2018). "COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT." Web.
1. . COMPLEX-VALUED GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR PHASE-INCORPORATING SPEECH ENHANCEMENT [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2613

AUTOMATIC SPEECH ASSESSMENT FOR APHASIC PATIENTS BASED ON SYLLABLE-LEVEL EMBEDDING AND SUPRA-SEGMENTAL DURATION FEATURES


Aphasia is a type of acquired language impairment resulting from brain injury. Speech assessment is an important part of the comprehensive assessment process for aphasic patients. It is based on the acoustical and linguistic analysis of patients’ speech elicited through pre-defined story-telling tasks. This type of narrative spontaneous speech embodies multi-fold atypical characteristics related to the underlying language impairment.

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Authors:
Tan Lee, Anthony Pak Hin Kong
Submitted On:
12 April 2018 - 11:52pm
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[1] Tan Lee, Anthony Pak Hin Kong, "AUTOMATIC SPEECH ASSESSMENT FOR APHASIC PATIENTS BASED ON SYLLABLE-LEVEL EMBEDDING AND SUPRA-SEGMENTAL DURATION FEATURES", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2571. Accessed: Aug. 21, 2018.
@article{2571-18,
url = {http://sigport.org/2571},
author = {Tan Lee; Anthony Pak Hin Kong },
publisher = {IEEE SigPort},
title = {AUTOMATIC SPEECH ASSESSMENT FOR APHASIC PATIENTS BASED ON SYLLABLE-LEVEL EMBEDDING AND SUPRA-SEGMENTAL DURATION FEATURES},
year = {2018} }
TY - EJOUR
T1 - AUTOMATIC SPEECH ASSESSMENT FOR APHASIC PATIENTS BASED ON SYLLABLE-LEVEL EMBEDDING AND SUPRA-SEGMENTAL DURATION FEATURES
AU - Tan Lee; Anthony Pak Hin Kong
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2571
ER -
Tan Lee, Anthony Pak Hin Kong. (2018). AUTOMATIC SPEECH ASSESSMENT FOR APHASIC PATIENTS BASED ON SYLLABLE-LEVEL EMBEDDING AND SUPRA-SEGMENTAL DURATION FEATURES. IEEE SigPort. http://sigport.org/2571
Tan Lee, Anthony Pak Hin Kong, 2018. AUTOMATIC SPEECH ASSESSMENT FOR APHASIC PATIENTS BASED ON SYLLABLE-LEVEL EMBEDDING AND SUPRA-SEGMENTAL DURATION FEATURES. Available at: http://sigport.org/2571.
Tan Lee, Anthony Pak Hin Kong. (2018). "AUTOMATIC SPEECH ASSESSMENT FOR APHASIC PATIENTS BASED ON SYLLABLE-LEVEL EMBEDDING AND SUPRA-SEGMENTAL DURATION FEATURES." Web.
1. Tan Lee, Anthony Pak Hin Kong. AUTOMATIC SPEECH ASSESSMENT FOR APHASIC PATIENTS BASED ON SYLLABLE-LEVEL EMBEDDING AND SUPRA-SEGMENTAL DURATION FEATURES [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2571

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