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 …
Recent advances in deep learning for speech research at Microsoft
Deep learning is becoming a mainstream technology for speech recognition at industrial
scale. In this paper, we provide an overview of the work by Microsoft speech researchers …
scale. In this paper, we provide an overview of the work by Microsoft speech researchers …
[图书][B] Automatic speech recognition
Automatic Speech Recognition (ASR), which is aimed to enable natural human–machine
interaction, has been an intensive research area for decades. Many core technologies, such …
interaction, has been an intensive research area for decades. Many core technologies, such …
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 …
End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition
In hidden Markov model (HMM) based automatic speech recognition (ASR) system,
modeling the statistical relationship between the acoustic speech signal and the HMM states …
modeling the statistical relationship between the acoustic speech signal and the HMM states …
Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks
In hybrid hidden Markov model/artificial neural networks (HMM/ANN) automatic speech
recognition (ASR) system, the phoneme class conditional probabilities are estimated by first …
recognition (ASR) system, the phoneme class conditional probabilities are estimated by first …
Single-and multi-microphone speech dereverberation using spectral enhancement
EAP Habets - 2007 - research.tue.nl
In speech communication systems, such as voice-controlled systems, hands-free mobile
telephones, and hearing aids, the received microphone signals are degraded by room …
telephones, and hearing aids, the received microphone signals are degraded by room …
[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 …
HMM-based strategies for enhancement of speech signals embedded in nonstationary noise
An improved hidden Markov model-based (HMM-based) speech enhancement system
designed using the minimum mean square error principle is implemented and compared …
designed using the minimum mean square error principle is implemented and compared …
Relaxed statistical model for speech enhancement and a priori SNR estimation
I Cohen - IEEE Transactions on Speech and Audio Processing, 2005 - ieeexplore.ieee.org
In this paper, we propose a statistical model for speech enhancement that takes into account
the time-correlation between successive speech spectral components. It retains the …
the time-correlation between successive speech spectral components. It retains the …