Recent advances in convolutional neural networks
In the last few years, deep learning has led to very good performance on a variety of
problems, such as visual recognition, speech recognition and natural language processing …
problems, such as visual recognition, speech recognition and natural language processing …
A tutorial survey of architectures, algorithms, and applications for deep learning
L Deng - APSIPA transactions on Signal and Information …, 2014 - cambridge.org
In this invited paper, my overview material on the same topic as presented in the plenary
overview session of APSIPA-2011 and the tutorial material presented in the same …
overview session of APSIPA-2011 and the tutorial material presented in the same …
Deep learning: methods and applications
This monograph provides an overview of general deep learning methodology and its
applications to a variety of signal and information processing tasks. The application areas …
applications to a variety of signal and information processing tasks. The application areas …
Deep learning for acoustic modeling in parametric speech generation: A systematic review of existing techniques and future trends
Hidden Markov models (HMMs) and Gaussian mixture models (GMMs) are the two most
common types of acoustic models used in statistical parametric approaches for generating …
common types of acoustic models used in statistical parametric approaches for generating …
Speech synthesis based on hidden Markov models
This paper gives a general overview of hidden Markov model (HMM)-based speech
synthesis, which has recently been demonstrated to be very effective in synthesizing …
synthesis, which has recently been demonstrated to be very effective in synthesizing …
[PDF][PDF] Three classes of deep learning architectures and their applications: a tutorial survey
L Deng - APSIPA transactions on signal and information …, 2012 - academia.edu
In this invited paper, my overview material on the same topic as presented in the plenary
overview session of APSIPA-2011 and the tutorial material presented in the same …
overview session of APSIPA-2011 and the tutorial material presented in the same …
Deep encoder-decoder models for unsupervised learning of controllable speech synthesis
Generating versatile and appropriate synthetic speech requires control over the output
expression separate from the spoken text. Important non-textual speech variation is seldom …
expression separate from the spoken text. Important non-textual speech variation is seldom …
Analysis of speech production real-time MRI
Recent advances in real-time magnetic resonance imaging (RT-MRI) have made it possible
to study the anatomy and dynamic motion of the vocal tract during speech production with …
to study the anatomy and dynamic motion of the vocal tract during speech production with …
The artificial intelligence renaissance: deep learning and the road to human-level machine intelligence
KH Tan, BP Lim - APSIPA Transactions on Signal and Information …, 2018 - cambridge.org
In this paper we look at recent advances in artificial intelligence. Decades in the making, a
confluence of several factors in the past few years has culminated in a string of …
confluence of several factors in the past few years has culminated in a string of …
Principles for learning controllable TTS from annotated and latent variation
For building flexible and appealing high-quality speech synthesisers, it is desirable to be
able to accommodate and reproduce fine variations in vocal expression present in natural …
able to accommodate and reproduce fine variations in vocal expression present in natural …