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Description
Leverage artificial intelligence to challenge conventional business thought processes, delivering precise industry insights with high efficiency and reduced operational costs, thus facilitating the digital transformation of organizations. This approach includes capabilities for knowledge extraction and the creation of knowledge graphs and ontologies through unsupervised learning techniques. By effectively mining and analyzing extensive datasets, alongside utilizing established industry knowledge and natural language processing skills, the traditional reliance on human-driven knowledge engineering can be automated, leading to significant enhancements in the efficiency of constructing knowledge maps while lowering the barriers to their creation. Furthermore, a fully proprietary automatic speech recognition (ASR) and text-to-speech (TTS) model, paired with self-gathered training data and state-of-the-art speech recognition algorithms, along with an industry-leading natural language understanding (NLU) model, fine-tunes performance across various business contexts. This comprehensive training platform is designed to facilitate entirely bespoke training tailored to specific verticals, ensuring that businesses can meet their unique challenges effectively. Such innovations not only streamline processes but also empower enterprises to adapt swiftly to changing market demands.
Description
In various GVC applications, the initial phase involves recognizing emotions: the user vocalizes for several seconds, and the GVC Emotion Recognition algorithm evaluates numerous acoustic characteristics of their voice to derive an understanding of their emotional condition. The outcomes from our emotion recognition system can then be utilized by other algorithms to select suitable responses for the user. At GVC, our main focus is on types of feedback that enhance the user's performance and overall quality of life. This includes analyzing signals from the user's voice, heart, lungs, and other bodily organs. The GVC concept has been put into practice in a range of demonstration applications. These applications utilize a collection of proprietary algorithms that assess various aspects of the user's speech, including the GVC Emotion Recognition and GVC Voice Disorder Detection algorithms, ultimately aiming to create a more responsive and supportive user experience. By integrating advanced technology, we strive to foster a deeper connection between the user's emotional state and the feedback provided.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Emotibot
Founded
2015
Country
China
Website
www.emotibot.com/technology/index.html
Vendor Details
Company Name
Good Vibrations Company
Founded
2011
Country
Netherlands
Website
good-vibrations.nl/
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Conversational AI
Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
Product Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions