Friday, May 1Digital Marketing Journals

computer-science

The Dangers of ChatGPT. Future language models and ChatGPT will… | by Callum Keane | Dec, 2022
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The Dangers of ChatGPT. Future language models and ChatGPT will… | by Callum Keane | Dec, 2022

Future language models and ChatGPT will significantly alter how we live. They might boost our output, automate tiresome jobs, and aid in more complex problem solving. However, this power has a price, and that price is that it can be utilized unethically.You’ve probably seen examples of how AI can be programmed to say offensive things or disseminate false information. You might not be aware, though, that AI can also be applied to instantaneous and automatic influence.Now, to illustrate what I’m referring to, I will give instructions to ChatGPT to influence me to buy a product at all costs.If you ask it immediately, it won’t be very persuasive:It’s clearly not convincing, but if I add further instructions:Quite astonishingly, it uses the mentioned financial trouble as a way to sell the produ...
Voice Personalization. For a given text in any language or… | by Sangramsing Kayte | Jul, 2021
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Voice Personalization. For a given text in any language or… | by Sangramsing Kayte | Jul, 2021

The language characteristics derived from a certain text are mapped on acoustic features via a GANs-based TTS system.The features of the linguistic input include binary answers to linguistic context questions and numerical values, such as the number of words in the current sentence, the position of the current syllable in the word, and the length of the current phoneme.The acoustic features consist of melted cepstral coefficients and exciting parameters and of the basic frequency. The neural network parameters can be trained by using the input and output pairs derived from a training data set. Finally, a WORLD vocoder is used to synthesize speech from the acousticfeatures. The proposed model consists of two components as follow:Emotional Analysis Module:-The goal of this module is the diff...
Voice Recognition Bakery Solution | by KaiChin Huang | Jun, 2021
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Voice Recognition Bakery Solution | by KaiChin Huang | Jun, 2021

Project set upI follow through the follow guilde to set up my voice kit, including the API credential for Google Voice to text.Scraping dataHere is where I get all my data, and I use Beautiful4 to retrieve necessary information such as Date, Quantity, Product, Customer, and Dayref to store into panda dataframe. I also clean the data here by coverting all the DayRef cells display ‘#N/A’ to ‘yesterday’, lowercase all the letters, and remove parenthesis.All the data is stored in one Orders dataframe.Orders DataframeTransform Speech to TextI call Google Speech to Text API to convert the speech to text, however for this project, there are a lot of product names and customer names which aren’t standard english words, so I have to pass these non-standard product names and customer names to the AP...