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support

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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.

Description

The act of speaking is a multifaceted process that necessitates the collaboration of the lungs, upper airways, nerves, and muscles. Breath and speech contain distinctive signatures that can signal various health issues, such as respiratory illnesses and infections. Specific conditions like mucus buildup, airway obstructions, congestion, inflammation, and scarring produce unique auditory cues. Even prior to the emergence of the coronavirus pandemic, lower respiratory tract infections resulted in nearly 4 million fatalities worldwide each year. Furthermore, climate change has exacerbated the prevalence of wildfires and increased airborne allergens. You can utilize your existing smartphone without needing expert help. An innovative framework has been developed to capture respiratory sounds in everyday environments, offering immediate feedback and noise reduction to enhance data integrity. We analyze numerous features, many of which are imperceptible to the human ear, to fuel our advanced algorithms, ensuring we stay at the forefront of respiratory health technology. This approach not only aids in early detection of diseases but also promotes a better understanding of respiratory health dynamics.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Good Vibrations Company

Founded

2011

Country

Netherlands

Website

good-vibrations.nl/

Vendor Details

Company Name

Telling.ai

Website

telling.ai/

Product Features

Emotion Recognition

Facial Emotions No 
Facial Expression Analysis No 
Machine Learning No 
Photo Emotions No 
Speech Emotions No 
Video Emotions No 
Written Text Emotions No 

Product Features

Alternatives

Alternatives

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