Multiframe Deep Neural Networks for Acoustic Modeling

Deep neural networks have been shown to perform very well as acoustic models for automatic speech recognition. Com- pared to Gaussian mixtures however, they ...

Multiframe deep neural networks for acoustic modeling - IEEE Xplore

Deep neural networks have been shown to perform very well as acoustic models for automatic speech recognition. Compared to Gaussian mixtures however, ...

[2005.10470] Multistream CNN for Robust Acoustic Modeling - arXiv

... convolutional neural networks across multiple streams to achieve the robustness. The dilation rates are selected from the multiples of a sub ...

Multistream CNN for Robust Acoustic Modeling - Daniel Povey

to multi-encoder neural networks that can accommodate diverse ... Khudanpur, “Semi-orthogonal low-rank matrix factoriza- tion for deep neural networks,” in ...

Multistream CNN for Robust Acoustic Modeling - Daniel Povey

multi-encoder neural networks that can accommodate diverse ... deep neural networks,” in Interspeech, 2018, pp. 3743–. 3747. [25] ...

DEEP NEURAL NETWORKS FOR ACOUSTIC MODELING ...

... neural network-based acoustic encoder and a finite-state transducer decoder and explores training approaches, including multi-stage vs. end-to-end training ...

Acoustic modeling with deep neural networks using raw time signal ...

In this paper we investigate how much feature extraction is required by a deep neural network (DNN) based acoustic model for automatic speech recognition (ASR).

arXiv:1705.05992v1 [cs.CL] 17 May 2017

In the last few years, deep neural networks (DNNs) com- bined with hidden Markov models (HMMs) have been widely employed in acoustic modeling ...

Autoregressive product of multi-frame predictions can improve the ...

Penn, “Ap- plying convolutional neural networks concepts to hybrid nn-hmm model for speech recognition,” in Acoustics, Speech and Signal. Processing (ICASSP), ...

Deep Neural Networks for Acoustic Modeling in Speech Recognition

The RBMs in a stack can be combined in a surprising way to produce a single, multi-layer generative model called a deep belief net (DBN) [22].

Multi-Accent Deep Neural Network Acoustic Model with ... - CiteSeerX

The deep learning acoustic model technology. [4, 5, 6] can help improve the foreign-accented-speech ASR performance due to its layer-by-layer ...

Hinton, G. (2012) Deep Neural Networks for Acoustic Modeling in ...

Hinton, G. (2012) Deep Neural Networks for Acoustic Modeling in Speech Recognition The Shared Views of Four Research Groups. IEEE Signal Processing Magazine ...

Deep Neural Networks for Acoustic Modeling in Speech Recognition

With the rise of deep learning technology, neural network-based ASR systems have gradually replaced traditional statistical models [7]. The ...

Deep beamforming networks for multi-channel speech recognition

We propose to represent the stages of acoustic processing including beamforming, feature extraction, and acoustic modeling, as three components of a single ...

Speech Production Features for Deep Neural Network Acoustic ...

Abstract In the last few years DNNs have become the dominant technique for acoustic modeling in automatic speech recognition (ASR).

Recent Progresses in Deep Learning Based Acoustic Models

Abstract · Attention model, · convolutional neural network (CNN), · connectionist temporal classification (CTC), · deep learning (DL), · long short-term memory (LSTM) ...

Deep Neural Networks for Acoustic Modeling in Speech Recognition

Using the new learning methods, several different research groups have shown that DNNs can outperform GMMs at acoustic modeling for speech recognition on a ...

MULTIFRAME DEEP NEURAL NETWORKS FOR ACOUSTIC ...

Article "MULTIFRAME DEEP NEURAL NETWORKS FOR ACOUSTIC MODELING" Detailed information of the J-GLOBAL is an information service managed by the Japan Science ...

Neural Network acoustic modeling - - Mael Fabien

On this page. Introduction to Neural Network acoustic modeling; HMM-DNN acoustic modeling; Modelling phonetic context with DNNs. Time-delay Neural Networks ...

Multi-frame factorisation for long-span acoustic modelling ...

... models, in contrast to deep neural networks (DNNs) that model feature correlations directly. The approach is applicable to a broad range of acoustic models.