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Chinese speech synthesis scheme based on PaddleSpeech Chinese speech synthesis scheme: https://aistudio.baidu.com/aistudio/projectdetail/2791125?contributionType=1Paddlespeech source code: https://github.com/PaddlePaddle/PaddleSpeech Chinese standard female voice library (10000 sentences) brief introduction Speech synthesis is a technology ...

preface: Two months ago, I wrote the complete steps of TextCNN (less than 60 lines of code), but did not take into account the subsequent engineering deployment and large amount of data (unable to load all into memory), so today I made a transformation and optimization according to the actual case. The operation steps of TextCNN can generally b ...

From previous reading of the code, the key to discovering the problem is past_ Key_ A change in the value parameter makes the input less complex. The overall structure of the model (from outside to inside) The overall structure of the model determines the direction in which the data will operate. Frame structure diagram of the overall mod ...

Project code reference resources Know and never forget the original heart 1. Implementation of SVM The previous section is mainly about the acquisition of Chinese word segmentation and word vector expression. However, each article contains a different number of words, so this paper represents the document by calculating the average word vecto ...

HanLP Chinese word segmentation, person name recognition and place name recognition Experimental purpose Download and install HanLP natural language processing package from the Internet;Familiar with the basic functions of HanLP natural language processing package;Using the information obtained by the web crawler, call the API of HanLP for Ch ...

[PaddleNLP] thousand words data set: emotion analysis - SKEP This project uses the pre training model SKEP complete Thousand words data set: emotion analysis match It contains three sub tasks: sentence level emotion classification, evaluation object level emotion classification and viewpoint extraction Welcome to praise, fork and pay attention ...

To be honest, the concept of artificial intelligence is somewhat too large, including in-depth learning, machine learning, intensive learning and so on, while in-depth learning includes image recognition, speech recognition, natural language processing, prediction analysis; Machine learning includes supervised learning, unsupervised learning an ...

Android Malware Detection with Seq2vec Android malware detection based on Seq2vec, and the data set is taken from CICMalDroid 2020 , and feature extraction is carried out. introduction Recently, I have been doing research on static detection of Android malware. Previously, I released two versions, both of which have a high recognition rate o ...

  1, Game problem analysis [Alibaba cloud Tianchi algorithm challenge] Introduction to zero basics NLP - News Text Classification - Day1 - Game Title Understanding_ 202xxx blog - CSDN blog 2, Data reading After downloading the data, anaconda and python 3.8 are recommended for data reading and model training First install the required m ...

Preliminary application of pytoch Build a neural network using Pytorch Typical process of building neural network: A neural network with learnable parameters is definedTraversal training data setProcess the input data to flow through the neural networkCalculate loss valueThe gradient of network parameters is back propagatedUpdate network w ...