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

Mapping Intimacies ◽

10.21437/interspeech.2016-283 ◽

2016 ◽

Author(s):

Suman Ravuri ◽

Steven Wegmann

Keyword(s):

Neural Network ◽

Conditional Independence ◽

Acoustic Models ◽

Independence Assumptions

Download Full-text

Improved Multilingual Training of Stacked Neural Network Acoustic Models for Low Resource Languages

10.21437/interspeech.2016-1426 ◽

2016 ◽

Author(s):

Tanel Alumäe ◽

Stavros Tsakalidis ◽

Richard Schwartz

Keyword(s):

Neural Network ◽

Acoustic Models ◽

Download Full-text

Noise Robust Automatic Scoring Based on Deep Neural Network Acoustic Models with Lattice-Free MMI and Factorized Adaptation

Mobile Networks and Applications ◽

10.1007/s11036-021-01878-3 ◽

2021 ◽

Author(s):

Dean Luo ◽

Linzhong Xia ◽

Mingxiang Guan

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Acoustic Models ◽

Noise Robust ◽

Automatic Scoring

Download Full-text

Semi-supervised maximum mutual information training of deep neural network acoustic models

10.21437/interspeech.2015-561 ◽

2015 ◽

Author(s):

Vimal Manohar ◽

Daniel Povey ◽

Sanjeev Khudanpur

Keyword(s):

Neural Network ◽

Mutual Information ◽

Deep Neural Network ◽

Acoustic Models ◽

Maximum Mutual Information

Download Full-text

Fast and accurate recurrent neural network acoustic models for speech recognition

10.21437/interspeech.2015-350 ◽

2015 ◽

Author(s):

Haşim Sak ◽

Andrew Senior ◽

Kanishka Rao ◽

Françoise Beaufays

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Recurrent Neural Network ◽

Acoustic Models

Download Full-text

Scalable minimum Bayes risk training of deep neural network acoustic models using distributed hessian-free optimization

10.21437/interspeech.2012-3 ◽

2012 ◽

Author(s):

Brian Kingsbury ◽

Tara N. Sainath ◽

Hagen Soltau

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Acoustic Models ◽

Minimum Bayes Risk

Download Full-text

Investigating NMF speech enhancement for neural network based acoustic models

10.21437/interspeech.2014-229 ◽

2014 ◽

Author(s):

Jürgen T. Geiger ◽

Jort F. Gemmeke ◽

Björn Schuller ◽

Gerhard Rigoll

Keyword(s):

Neural Network ◽

Speech Enhancement ◽

Acoustic Models

Download Full-text

Improving deep neural network acoustic models using generalized maxout networks

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2014.6853589 ◽

2014 ◽

Author(s):

Xiaohui Zhang ◽

Jan Trmal ◽

Daniel Povey ◽

Sanjeev Khudanpur

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Acoustic Models

Download Full-text

How neural network features and depth modify statistical properties of HMM acoustic models

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7472645 ◽

2016 ◽

Author(s):

Suman Ravuri ◽

Steven Wegmann

Keyword(s):

Neural Network ◽

Statistical Properties ◽

Acoustic Models

Download Full-text

Speaker Adaptive Training of Deep Neural Network Acoustic Models Using I-Vectors

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2015.2457612 ◽

2015 ◽

Vol 23 (11) ◽

pp. 1938-1949 ◽

Author(s):

Yajie Miao ◽

Hao Zhang ◽

Florian Metze

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Adaptive Training ◽

Acoustic Models

Download Full-text

Identification of the effects of dynamic treatments by sequential conditional independence assumptions

Empirical Economics ◽

10.1007/s00181-009-0297-3 ◽

2009 ◽

Vol 39 (1) ◽

pp. 111-137 ◽

Author(s):

Michael Lechner ◽

Ruth Miquel

Keyword(s):

Conditional Independence ◽

Independence Assumptions

Download Full-text