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What is Telling.ai?

The process of verbal communication is complex and involves the concerted efforts of the lungs, upper airways, nerves, and various muscles. The characteristics of breath and speech can reveal important health indicators, often pointing to issues such as respiratory diseases or infections. Conditions such as mucus accumulation, airway blockages, congestion, inflammation, and scarring create distinct sounds that can be analyzed. Before the onset of the COVID-19 pandemic, lower respiratory tract infections were responsible for close to 4 million deaths globally each year. In addition, the impact of climate change has intensified the frequency of wildfires, leading to greater exposure to airborne allergens. Thankfully, individuals can leverage their current smartphones without any need for specialized assistance. A groundbreaking system has been created to record respiratory sounds in typical settings, providing instant feedback and reducing background noise to improve the accuracy of the data collected. We meticulously evaluate a wide range of features, many of which go unnoticed by the human ear, to enhance our sophisticated algorithms, keeping us at the leading edge of respiratory health technology. This innovative strategy not only facilitates the early identification of health conditions but also fosters a deeper comprehension of the intricacies of respiratory health management. By continuously evolving our techniques, we aim to empower individuals to take charge of their respiratory wellness.

What is Good Vibrations Company (GVC)?

In multiple applications of GVC, the first step is to identify emotions: users speak for a few seconds, allowing the GVC Emotion Recognition algorithm to analyze various acoustic features of their voice to gain insight into their emotional state. The results generated by our emotion recognition system can subsequently inform other algorithms to determine appropriate responses for the user. At GVC, we prioritize feedback types that improve both user performance and overall quality of life, which involves examining signals from the user’s voice, heart, lungs, and other physiological systems. The GVC concept has been implemented across a variety of demonstration applications, all using a set of proprietary algorithms designed to evaluate different elements of the user’s speech, such as the GVC Emotion Recognition and GVC Voice Disorder Detection algorithms. Through this integration, we aim to enhance the user experience by ensuring that the responses are not only timely but also tailored to their emotional needs. By leveraging cutting-edge technology, we work to cultivate a more profound connection between users' emotional states and the feedback that they receive, thereby enriching their interactions. This holistic approach ultimately fosters an environment where users feel understood and supported.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Telling.ai

Company Website

telling.ai/

Company Facts

Organization Name

Good Vibrations Company

Date Founded

2011

Company Location

Netherlands

Company Website

good-vibrations.nl/

Categories and Features

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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