Top Most 14+ Cnn-tdnn-f

1.Comparison Of Baseline TDNN-F [10] And Proposed CNN- TDNNF ...

Comparison of baseline TDNN-F [10] and proposed CNN- TDNNF AMs in terms of WER for the DEV (EVAL) set. Source publication. Naming of the speech enhancement ...

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2.[PDF] ArXiv:1909.12208v1 [cs.CL] 26 Sep 2019

26 sept. 2019 · It consists of initial Convolutional Neural Network (CNN) layers followed by factorized TDNN (TDNN-F) layers, instead of a ...

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3.Kaldi/run_cnn_tdnn_ At Master - GitHub

This is based on tdnn_1d_sp, but adding cnn as the front-end. # The cnn-tdnn-f (tdnn_cnn_1a_sp) outperforms the tdnn-f (tdnn_1d_sp).

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4.基于CNN-TDNN-F的低资源语音识别研究 - 参考网

28 déc. 2020 · 解决低资源语料的语音识别问题，通常在两个方面入手：1）使用更为高效的声学模型[2]。Myat Aye等人使用时延神经网络（Time Delay Neural Network，TDNN） ...

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5.[PDF] The OPPO System For CHiME-6 Challenge

For backend, we use TDNN-F and CNN-TDNNF [2] acoustic models, the systems employs a combination of 8 acoustic models, and finally apply Minimum.

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6.Multistream TDNN And New Vosk Model - Alpha Cephei

16 juil. 2021 · Multistream 2D-CNN-TDNN-F is crazy slow both for training and decoding, not practical at all. I believe authors just used it for Librispeech ...

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7.TDNN(1d CNN)-F 结构 - 知乎专栏

11 déc. 2019 · 之前在Kaldi 社区跟Dan 交流过一个TDNN-F 结构的问题，Dan 在文献"Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" 中介绍 ...

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8.[PDF] Multistream CNN For Robust Acoustic Modeling - Dan Povey

ant of 1D-CNN. Each stream stacks narrower TDNN-F layers whose kernel has a unique, stream-specific dilation rate when processing input speech frames in ...

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9.[PDF] Semi-Orthogonal Low-Rank Matrix Factorization For Deep Neural ...

(TDNN-F) which is structurally the same as a TDNN whose layers have been compressed via ... mulate a 1-d CNN, i.e. a CNN with a 3x1 kernel and 700 filters.

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10.Multistream CNN For Robust Acoustic Modeling - Papers With Code

Each stream stacks TDNN-F layers (a variant of 1D CNN), and output embedding vectors from the streams are concatenated then projected to the final layer.

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11.Multistream CNN For Robust Acoustic Modeling - IEEE Xplore

Each stream stacks TDNN-F layers (a variant of 1D CNN), and output embedding vectors from the streams are concatenated then projected to the final layer.

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12.基于CNN-TDNN-F的低资源语音识别研究- 中国期刊全文数据库

Low-Resource Speech Recognition Based on CNN-TDNN-F ... a low resource speech recognition scheme based on factorized time delay neural network is proposed, ...

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13.[PDF] The THUEE System Description For The IARPA OpenASR21 Challenge

hybrid acoustic models with CNN-TDNN-F and CNN-TDNN-. F-A network as the essential part, which are trained with. Lattice-Free Maximum Mutual Information ...

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14.'Chain' Models - Kaldi ASR

... and gives a better WER WER than the baseline TDNN: 11.4%, versus 12.1% for the best TDNN baseline (on the Switchboard-only portion of eval2000).

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