site stats

Lattice-free maximum mutual information

Webels trained with lattice-free maximum mutual information (LF-MMI) criterion [5]. Furthermore, we use an idea skip connections that is inspired by the dense LSTM of [6]. This is somewhat related to the shortcut connections of resid-ual learning [7] and highway connections [8, 9], but consists WebHowever, Lattice-Free Maximum Mutual Information (LF-MMI), as one of the discriminative training criteria that show superior per-formance in hybrid ASR systems, is …

Daniel Povey

Web1 mrt. 2008 · In this work, we propose three lattice-free training objectives, namely lattice-free maximum mutual information, lattice-free segment-level minimum Bayes risk, and … Webuse the lattice-free version of the maximum mutual information (MMI) criterion: LF-MMI. To make its computation feasible we use a phone n-gram language model, in place of … scotland county airport https://floriomotori.com

Novel Brain Complexity Measures Based on Information Theory

Web29 jan. 2024 · sequence-level training criteria such as lattice-free maximum mutual information (LF-MMI) performs better than frame-level criteria for ASR [20]. Our systems are based on the TDNN-F [13] acoustic model using the LF-MMI training criterion. We experimented with various network structures. All of our experiments are based on the … WebLattice-free maximum mutual information (LF-MMI) training, which enables MMI-based acoustic model training without any lattice generation procedure, has recently been … WebThus, the entropy takes the maximum value given by log 2 N = log 2 4 = 2, where N is the number of nodes. For the graphs of Figure 1b,c, the value of the ... nodes increases. Because of this, if we focus on the values for a low number of nodes, we can observe that the erasure mutual information for lattice and ring lattice slightly decreases ... scotland county adult day care

区分性训练和mmi_倚剑笑紅尘的博客-CSDN博客

Category:Sequence discriminative training - GitHub Pages

Tags:Lattice-free maximum mutual information

Lattice-free maximum mutual information

Integrating Lattice-Free MMI into End-to-End Speech Recognition

Webof multilingual AM with the Lattice-Free Maximum Mutual In-formation (LF-MMI) framework [16]. LF-MMI training has been shown to have superior performance compared to the con-ventional cross-entropy (CE) training of DNNs [17, 18]. The MMI cost function uses a numerator graph modelling the ob-served feature sequence based on ground truth and … Web22 jan. 2024 · One such objective function is called the Maximum Mutual Information(MMI) objective function. It is also sometimes referred to as Maximum …

Lattice-free maximum mutual information

Did you know?

WebLF-MMI(Lattice-Free Maximum Mutual Information)训练准则通过在神经网络输出层计算出来所有可能的标注序列,根据这些标注序列计算出相应的 MMI 信息和相关的梯度,然后 … Web2 jul. 2024 · The automatic image registration serves as a technical prerequisite for multimodal remote sensing image fusion. Meanwhile, it is also the technical basis for change detection, image stitching and target recognition. The demands of subpixel level registration accuracy can be rarely satisfied with a multimodal image registration method based on …

Web20 dec. 2024 · Lattice-free maximum mutual information (LFMMI) was recently proposed as a mixture of the ideas of hidden-Markov-model-based acoustic models (AMs) and …

Web14 nov. 2024 · 互信息(mutual information): mmi准则实际上就是最大化互信息的缩写. 最大似然估计MLE(缺点) 最大似然估计,即假设一种分布,用现在已知的数据去估计这种分布的参数。 然后看交叉熵,我们用估计的分布算出一个交叉熵,然后让交叉熵尽可能小达到 … Web9 apr. 2024 · In the literature the focus so far has largely been on handling these variabilities in the framework of HMM/GMM and cross-entropy based HMM/DNN systems. This …

Web19 apr. 2009 · DOI: 10.1109/ICASSP.2009.4960445 Corpus ID: 14733612; Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling @article{Kingsbury2009LatticebasedOO, title={Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling}, author={Brian Kingsbury}, …

WebLattice-Free Maximum Mutual Information Training of Multilingual Speech Recognition Systems Srikanth Madikeri, Banriskhem K. Khonglah, Sibo Tong, Petr Motlicek, Hervé … scotland county accidentWeb23 aug. 2024 · V Manohar, D Povey, S Khudanpur. Semi-supervised maximum mutual information training of deep neural network acoustic models. 2015. Google Scholar Povey D, Peddinti V, Galvez D, et al. Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI[C]. INTERSPEECH. 2016: 2751–2755. Google Scholar premature withdrawalWeb23 jul. 2024 · Furthermore, we propose to use a fixed clean acoustic model trained with the end-to-end lattice-free maximum mutual information criterion to enforce the enhanced output to have the same distribution as the clean waveform to alleviate the over-estimation problem of the enhancement task and constrain distortion. scotland county aging services