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Emotional intelligence by Voice

₹12500-37500 INR

Anulowano
Opublikowano prawie 4 lata temu

₹12500-37500 INR

Płatne przy odbiorze
Development of Emotional intelligence system and corosponding suggest over voice. Please describe your approach in the bid.
Identyfikator projektu: 26377815

Informację o projekcie

7 ofert
Zdalny projekt
Aktywny 4 lata temu

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7 freelancerzy składają oferty o średniej wysokości ₹29 690 INR dla tej pracy
Awatar Użytkownika
Hey! I am having more than 3 years of industry level experience in Natural Language Processing, Deep Learning, Machine Learning, and Computer Vision. Approach to This Project: 1. Voice Recognition System that record Voice signals 2. Converting Voice to text Data 3. Emotion Extraction from Text using Sentiment Analysis (Using Natural Language Processing) 4. Making things by understanding the emotion of a person Projects Done for MNC Companies:- 1. The project worth 1000$ delivered to realMe Mobile company on Fraud detection using NLP 2. A Project Worth 300$ delivered to P&G Global Innovation Private Limited on Automatic selling and Billing of Fruits and vegetables using Deep Learning. I am an expert in Machine Learning, Deep Learning, Computer Vision, and NLP and NLU Algorithms. Recently I have developed COVID 19 testing technique using Deep Learning, which detects infection at early stages. My skills: Python and C++ Supervised and Unsupervised Learning Text summarization, Text Classification, Sentiment Analysis, and Word2Vec Analytics CNN, RNN, ANN, LSTM Recommendation Systems Chatbot Development Keras, TensorFlow, and PyTorch Computer Vision Algorithms Data Analytics and Visualization Thank you Nagaraju
₹22 000 INR w 7 dni
5,0 (3 opinii)
2,3
2,3
Awatar Użytkownika
In emotion intelligence, we not only consider what is said in voice but also how it is said, for this, we have to observe changes in speech paralinguistics, tone, loudness, tempo, and voice quality to distinguish speech events, emotions, and genders. APPROACH:- 1. Loading dataset which contains audio files and their respective emotions ( we can also say them classes or labels ). 2. Extracting MFCC features from each audio file using the LIBROSA library. 3. Build a Recurrent neural network. 4. Train this network with extracted features so that It can learn the features and map the audio file to accurate emotion. 5. save the model. I also have experience of a project like this where I have to make model that can get emotions from faces. so if you award me the project I'd be very happy to discuss this further and get started for you as soon as possible. Thanks! Amit.
₹30 000 INR w 10 dni
5,0 (1 opinia)
1,2
1,2
Awatar Użytkownika
Hi, I am an experienced web developer and designer, with a lot of experience in Python. I am extremely time efficient, and really good, so I am sure to be able to complete your project in the least amount of time. Additionally I am perfectionist, and won't be satisfied until you are satisfied! I am looking forward to hear back from you !
₹25 000 INR w 7 dni
0,0 (0 opinii)
3,1
3,1
Awatar Użytkownika
How much data do you have with you to train a model? its easy to train model to predict Emotional intelligence system and corosponding suggest over voice. if you have enough data. i will be using deep learning for this
₹35 000 INR w 14 dni
0,0 (0 opinii)
0,0
0,0

O kliencie

Flaga INDIA
Bangalore, India
0,0
0
Zweryfikowana metoda płatności
Członek od wrz 2, 2017

Weryfikacja Klienta

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