Punctuation recoveryRecurrent Neural NetworkLSTMMaximum EntropyLow latency real-time modelingAutomatic Speech Recognition (ASR) rarely addresses the punctuation of the obtained transcriptions. Recently, Recurrent Neural Network (RNN) based models were proposed in automatic punctuation exploit...
Time-Series ForecastingThe paper presents a study of deep learning-based models for forecasting future directions of car sales, and car model preferences. An open-source Kaggle multivSaxena, PreetiBahad, PritikaKamal, RajSocial Science Electronic Publishing...
一.智能对话中的意图识别和槽填充联合建模,类似于知识图谱中的关系提取和实体识别。一种方法是利用两种模型分别建模;另一种是将两种模型整合到一起做联合建模型。意图识别基本上是文本分类,而槽填充基本上是序列标注。本方法是基于文章《Attention-Based Recurrent Neural Network Models for Joint Intent Detection and ...
Stand-alone C++ decoder for RNN-based NMT models. Can decode with default models from Marian and Nematus. This tool was a part ofMarian, which now has its own decoder. Therefore,amunhas been moved to a separate repository. For RNN models this decoder can still be faster on the GPU than...
The models showed promising improvements over traditiona... YK Tan,X Xu,Y Liu 被引量: 84发表: 2016年 On the improvement of the real time recurrent learning algorithm for recurrent neural networks This paper reviews different approaches to improving the real time recurrent learning (RTRL) ...
main 1Branch0Tags Code Folders and files Name Last commit message Last commit date Latest commit JasonTarzan Update README.md Jun 14, 2024 f52b33d·Jun 14, 2024 History 51 Commits img Add files via upload Nov 15, 2022 models Add files via upload ...
msevalues of all temporal models except one-second LSTM one for male listeners are under 0.02. Considering the value range is up to 1.0, the errors are relatively low. This implies that the micron non-verbal behaviors of the listeners are indeed reactive to those of the speakers and therefore...
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Fillingarxiv.org/abs/1609.01454 一、Abstract Attention-based Encoder-Decoder 模式在机器翻译和语音识别领域都有很好的效果,而这篇论文则是将Attention-based Encoder-Decoder模式应用在SlotFilling和IntentDetection任务上,并创建...
本文介绍来自北京大学来鲁华教授课题组发表在Chemical Science上的文章“Structure-based de novo drug design using 3D deep generative models”。在这项工作中,作者介绍了一种基于深度… DrugA...发表于DrugA... Drug Discov Today综述|分子从头设计和生成模型 智药邦 J. Cheminform. | 基于SMILES的利用骨架的分子...
In one approach we use the features conventionally employed to train TTS acous- tic models, i.e Mel cepstral (MCEP) coefficients, aperiodicity values and fundamental frequency (F0). In the other approach, following conventional speech enhancement methods, we train an RNN using only the MCEP ...