Reducing the Inter-speaker Variance of CNN Acoustic Models Using Unsupervised Adversarial Multi-task Training

Speech and Computer - Lecture Notes in Computer Science ◽

10.1007/978-3-030-26061-3_49 ◽

2019 ◽

pp. 481-490

Author(s):

László Tóth ◽

Gábor Gosztolya

Keyword(s):

Acoustic Models ◽

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Adaptation of DNN Acoustic Models Using KL-divergence Regularization and Multi-task Training

Speech and Computer - Lecture Notes in Computer Science ◽

10.1007/978-3-319-43958-7_12 ◽

2016 ◽

pp. 108-115 ◽

Author(s):

László Tóth ◽

Gábor Gosztolya

Keyword(s):

Acoustic Models ◽

Kl Divergence ◽

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Theoretical Implications and Empirical Findings on Instructional Control and Part-Whole-Task Training

PsycEXTRA Dataset ◽

10.1037/e640382009-001 ◽

1993 ◽

Author(s):

Joseph S. Mattoon ◽

Bernell J. Edwards

Keyword(s):

Instructional Control ◽

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Repetitive task training can help recovery after stroke

10.3310/signal-000410 ◽

2017 ◽

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Keyword(s):

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Effects of Task Training for Cognitive Activation of Stroke Patients on Upper Function and Activities of Daily Living

The Korean Society of Cognitive Therapeutic Exercise ◽

10.29144/kscte.2018.10.2.027 ◽

2018 ◽

Vol 10 (2) ◽

pp. 27-34

Author(s):

Yu-Jeong Kim ◽

Bo-Ra Kang ◽

Si-Nae Ahn

Keyword(s):

Activities Of Daily Living ◽

Daily Living ◽

Stroke Patients ◽

Cognitive Activation ◽

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The Efficiency of Home Based Dual Task Training in Parkinson Disease

Case Medical Research ◽

10.31525/ct1-nct03939559 ◽

2019 ◽

Author(s):

Keyword(s):

Parkinson Disease ◽

Dual Task ◽

Task Training ◽

Dual Task Training

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Effects of Single and Dual Task Training in Individuals With Mild Cognitive Impairment

Case Medical Research ◽

10.31525/ct1-nct04301960 ◽

2020 ◽

Author(s):

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Dual Task ◽

Task Training ◽

Dual Task Training

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How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models

10.21437/interspeech.2016-283 ◽

2016 ◽

Author(s):

Suman Ravuri ◽

Steven Wegmann

Keyword(s):

Neural Network ◽

Conditional Independence ◽

Acoustic Models ◽

Independence Assumptions

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Impact of Aliasing on Deep CNN-Based End-to-End Acoustic Models

10.21437/interspeech.2018-1371 ◽

2018 ◽

Author(s):

Yuan Gong ◽

Christian Poellabauer

Keyword(s):

Acoustic Models ◽

Deep Cnn ◽

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Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering

10.21437/interspeech.2016-988 ◽

2016 ◽

Author(s):

Michael Heck ◽

Sakriani Sakti ◽

Satoshi Nakamura

Keyword(s):

Supervised Learning ◽

Acoustic Models ◽

Resource Setting

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Domain Adaptation of CNN Based Acoustic Models Under Limited Resource Settings

10.21437/interspeech.2016-1161 ◽

2016 ◽

Author(s):

Masayuki Suzuki ◽

Ryuki Tachibana ◽

Samuel Thomas ◽

Bhuvana Ramabhadran ◽

George Saon

Keyword(s):

Domain Adaptation ◽

Limited Resource ◽

Acoustic Models

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