Develop a Voice Deepfake AI Model

Hi Good evening , How are you? I just saw your job posting . I see you have been looking for someone experience with these technologies Artificial Intelligence and Python. I believe this is some thing I can help you with because I have 9 years of experience working with these tech stacks and 8 years of experience working on freelancer.com which you can confirm from my profile: https://www.freelancer.com/u/AwaisChaudhry I have few questions: 1. These are all the requirements of your job or do you have more? If yes, Please provide detailed requirements. 2. Do you currently have anything done like Wireframes, UI/UX? Or this job has to be done from scratch? 3. What is the timeline to get this job done? Why Choose Me? 1. I have done more than 250 major projects only on freelancer.com. 2. I have not received a single bad feedback since last 5-6 years. 3. You will find 5 star feedback on last 100+ major projects which shows my clients are happy with my work. Portfolio: https://www.freelancer.com/u/AwaisChaudhry Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) Lets start the chat and discuss your job in detail and we will continue from there. Regards, Awais

Hi there, I have read the brief details on the job listing. You can check my experience, customer feed backs and my portfolio here: https://www.freelancer.com/u/AITSoft I believe its a doable job I have great experience doing projects with Artificial Intelligence and Python. Please initiate the chat so we could discuss it in detail. Thanks! Shamshad

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Hey! I am skilled Python engineer with skills including Python and Artificial Intelligence. Passionate C++ and Python Engineer with 10+ years of professional experience in full-cycle product development. All my clients know me as a person who can solve any technical problem. I’m always proud to invent new features and open new opportunities for software products to help businesses grow at tremendous speed. No matter if you have only an idea or ready product that you want to improve - our development cooperation will be the most incredible thing that happened in your life. My main professional skills you can rely on: Web Development: - Python / Django / Flask / asyncio / Redis - NativeScript / Angular - MongoDB, MySQL Cross-platform Development for Mac OS X / Windows / Linux: - C++ / Python / Qt / .NET Core - GUI applications - High-load, fault-tolerant client-server software - Powerful scrape applications for any web-services - Artificial Neural Networks / Deep Learning - Blockchain / Smart Contracts - Smart IoT hardware and software Desktop Development: - Objective-C with deep knowledge of Mac OS X / AppleScript - UWP applications for Windows Cross-platform Development for iOS / Android / Web: - NativeScript applications / Angular / Vue.js API: * Stripe/PayPal/Mailgun/Twitter/Facebook/Google API/Twilio/Apple News Publisher Extra: * CI: GitLab, Jenkins, Travis CI, Circle CI, Heroku CI/CD * Cloud integrations: AWS, Google Cloud, Alibaba Cloud Please send a message to discuss more about this project. Thanks & regards

Hello Asher, I hope this message finds you well. I will be able to help you with your project. I read through the description and it sounds like I am just the right person for it. I have the right skill set with sophisticated experience in Python and Artificial Intelligence. As a next step I would like to discuss some further questions with you. Either over the chat or a call, whatever you prefer. For my references and qualifications: I graduated in Computer Science with highest grades from one of the most reputable universities in Germany. Currently, I am enrolled in the Master's program. During my studies, I already published a paper on the subject of Artificial Intelligence. Further, I managed to get a lot of hands-on experience by working in several companies that operate in the field of Computer Science. As a native German speaker who was living in Canada for a year, my level in English is proficient/fluent. Further, I am in the preferred Freelancer program, making me part of the top 3% on the platform. Many successful past projects can be seen on my profile page. I am looking forward to working with you and if you have any further questions I would be happy to answer them. Best regards, Simon

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Hi! I understand that you are looking for a developer to design and implement a deep learning model capable of creating voice deepfakes. My professional background includes training and evaluation of neural networks, which makes me the perfect fit for this project objective. With my experience in web development, artificial intelligence and deep learning, I am confident that I can develop a voice deepfake AI model that can accurately convert Mel-spectrograms into audible waveforms within a reasonable timeframe. Furthermore, I have experience in pretraining vocoders using WaveNet which will come in handy when it comes to post-processing the generated Mel-spectrograms. I am available to provide an initial demo of my completed project at your request. Please feel free to contact me if you have any other questions or would like me to clarify any part of the proposal.

Hello, good time Hope you are doing well I'm expert in MATLAB/Simulink, Python, Java, JavaScript and C++ programming and by strong mathematical and statistical background, have good flexibility for solve your project. I have many experience practical and theoretical in implementation different algorithms (such as: state estimation and Kalman filter, design controller, analysis closed loop stability, signal and systems, signal processing, heuristic optimization, fuzzy logic, neural network and machine/deep learning fields). Evidence of this claim exist in the portfolio. I have read your project description and I can help you (without any plagiarism). Please send me the details of your project. Thanks for attention 100% Jobs Completed, 100% On Budget, 100% On Time ⭐⭐⭐⭐⭐ 5-star reviews

I have read project requirements to design and implement a deep learning model capable of creating voice deepfakes. The model should learn from a provided training set and report accuracies on a test set.. Also, if you want see my past work related to this then I will show you. I am managing director of software company and I have team for development so we can complete it perfectly. I am from India GMT +5:30 and I am available from 8:00 AM to 11:00 PM. We have 11+ years of experience in software development. We have developed 400+ projects and the research paper in the field of Machine Learning, Artificial Intelligence and Image processing (GIS), Network, SEO based Web and mobile apps. We have successfully completed the project of ChatGPT, Deep Learning, Computer vision, Natural Language Processing (NLP), Encryption decryption, Face detection, UML Diagram, OCR, Big data, data mining, data analysis, Statistics, Trading, Text, Image, multiclass classification using Azure ML, Tensorflow, R Programming, OpenCV, Matlab, Hadoop, Artificial Intelligence program using PROLOG, Robotics software, TCP-UDP Networking project, cloud computing, etc. View my last projects based on Data Mining, Machine Learning, Artificial Intelligence, python, Django, ERP Odoo, java, PHP and I can complete your project perfectly. www.freelancer.com/u/vorasiddh4it#/reviews Note: Project with QA, testing, comments in the code, so it's easy to understand the flow of Project.

Dear Sir, Are you looking for a deep learning model capable of creating voice deepfakes? I am Smith, an experienced programmer with expertise in Python and Artificial Intelligence. I am confident that I can help you design and implement a deep learning model for this project. My proposed steps to complete the project are as follows: 1. Preprocess the audio to extract Mel-spectrograms. 2. Use the Mel-spectrograms as input for the Tacotron 2 model and the textual transcript as the target. 3. Train the neural vocoder using the real Mel-spectrograms and corresponding audio. 4. Split the dataset into training (80%), validation (10%), and test sets (10%). 5. Train the model on the training set, validate its performance on the validation set. 6. After training, test the model's accuracy on the test set using objective metrics like Mel Cepstral Distortion (MCD) or Perceptual Evaluation of Speech Quality (PESQ). 7. Implement Griffin-Lim or use a pretrained vocoder like WaveNet to convert generated Mel-spectrograms to audible waveforms. I am confident that I can help you achieve the desired outcome. I am also willing to provide a free demonstration of the solution even before the project is awarded. I look forward to hearing from you. Regards, Smith

Hi, i have read your project, i am interested in your project, but i have some doubt, please clear my doubts, i am ready to start the work right now.

Hello Greetings, I have read your project description and am confident I can do this project for you perfectly but I still have a few queries. Please leave a message on chat so we can discuss this and I can share my previous work which is similar to your requirement. Thanks for your time! I look forward to hearing from you soon. Best Regards,

Dear Client, I am excited to submit my bid for the project to design and implement a deep learning model capable of creating voice deepfakes. With my expertise in deep learning, natural language processing, and audio processing, I am confident in creating a robust model that meets your specifications and delivers accurate results. Thank you for considering my proposal. I am enthusiastic about the opportunity to develop a cutting-edge voice deepfake generation model that delivers accurate and high-quality results. Please feel free to contact me to discuss further details or to provide additional information about your project requirements. Best regards, Lalit

Hi there, How r u? I have had a look at ur project i can handle it well as i have experience in Artificial Intelligence and Python. I have worked on similar projects before too. Please initiate the chat and discuss in detail. Waiting for ur kind response. Regards

Hello. Through job posting, I noticed what you want. I've rich experiences and expertise in Python and Artificial Intelligence Hope to have a discussion for clear understanding. And then let's get started. Thank you.

⭐⭐⭐ Hi, My availability: Immediate. I read your project post of Python AI Developer for Develop a Voice Deepfake AI Model We are experienced full stack python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium - Web App Development, Data Science, Scrapping, Machine Learning, AI - API Development, Authentication, Authorization - SQlAlchemy, PostegresDB, MySQL, SqLite - Web hosting, Docker - Azure, AWS, Digital Ocean, GoDaddy, Web Hosting Please send a message So we can have a quick discussion about your project and proceed further. Looking forward to hearing from you. Thanks

Hi. Thanks for your posting. I have just read your proposal and I am sure I can complete the project on time. I am an expert in ML/DL who has many years of experiences. Please contact me to discuss about the project in more details. Waiting for your contact now... Thanks. Best Regards.

Dear Client, I hope this proposal finds you in high spirits and ready to embark on an extraordinary journey into the realm of voice deepfakes. As a Python-slinging AI aficionado, I am thrilled to offer my expertise in developing a cutting-edge voice deepfake AI model that will leave you speechless (pun intended). To meet your needs, I propose utilizing a combination of the powerful Tacotron 2 model for text-to-spectrogram conversion and a neural vocoder like WaveNet or WaveGlow for spectrogram-to-audio magic. With a dataset of at least 50 hours of real voice samples and corresponding transcripts, we'll train the model to master the art of deception. But wait, there's more! We'll preprocess the audio to extract Mel-spectrograms, ensuring a smooth and melodious transformation. To guarantee top-notch performance, we'll evaluate the model using objective metrics like Mel Cepstral Distortion and Perceptual Evaluation of Speech Quality, while also considering the subjective evaluation techniques such as Mean Opinion Score because we care about your ears' happiness. In the post-processing phase, we'll sprinkle some Griffin-Lim magic or leverage a pretrained vocoder like WaveNet to convert those generated Mel-spectrograms into audible waveforms that will make your ears tingle with delight. And don't worry, we won't leave you hanging. We'll provide an initial demo for your esteemed representative to marvel at, as they witness the power of our code in action. So, dear client, let's embark on this audacious adventure together and create a voice deepfake AI model that will make waves in the industry. Let's chat further to discuss pricing and timelines, and remember, with us, the only limit is your imagination! Yours in AI mischief,

Dear Client, I am thrilled to propose my services for the development of a Voice Deepfake AI Model. My technical expertise lies in Python and Artificial Intelligence, which perfectly aligns with the requirements of this project. To fulfill the objective of creating voice deepfakes, I propose the following technical specifications: 1. Dataset: - A paired set of audio samples (real voice and textual transcript). - Minimum 50 hours of audio for training. - Audio format: WAV/MP3 with a sample rate of 16kHz. 2. Model Architecture: - Combination of a sequence-to-sequence model (e.g., Tacotron 2) for text-to-spectrogram conversion. - Neural vocoder (e.g., WaveNet or WaveGlow) for spectrogram-to-audio conversion. 3. Training: - Preprocessing of audio to extract Mel-spectrograms. - Utilizing Mel-spectrograms as input for Tacotron 2 model, and the textual transcript as the target. - Training the neural vocoder using real Mel-spectrograms and corresponding audio. 4. Evaluation: - Dataset split into training (80%), validation (10%), and test sets (10%). - Training the model on the training set, validating its performance on the validation set. - Testing the model's accuracy on the test set using objective metrics (e.g., MCD, PESQ) and subjective evaluation techniques (e.g., MOS). 5. Post-Processing: - Implementing Griffin-Lim or utilizing a pretrained vocoder like WaveNet to convert generated Mel-spectrograms to audible waveforms. The output of the developed model will be the ability to accept text as input and produce an audio file in WAV format as output. If you have any alternative ideas for implementation, I am open to suggestions. An initial demo will be provided, and our representative will utilize the code for training, specifically with tagged data

Hi I understand and I'm ready to do your job, please let me know how soon do you want this done? My portfolio : https://www.freelancer.com/u/SeasonedDveloper I would love to do this for you and be assured of excellent quality work. Kindly come to inbox for further discussion. Regards, Danny.