Typical challenges
What is the problem
In an era where artificial intelligence is reshaping industries at lightning speed, staying competitive means embracing AI-driven solutions. With demand for AI soaring by 40% annually, businesses have an unprecedented opportunity to innovate and grow. Custom AI can revolutionize efficiency, enhance customer engagement, and unlock new avenues for success. Behavioral AI Labs provides the specialized expertise needed to harness AI effectively, helping companies lead with confidence. The future is here—invest in AI to seize the opportunity.
DOMAINS OF EXPERTISE
Deep Learning
Speech Emotion Recognition
GenerativeAI
NLP
Business Data
DeepFakes
Computer Vision
Applications
Customer Services
further analyze behavioral and emotional profiles of speakers in call centers to optimize their operations. Automatically assess meaningful KPIs such as Customer satisfaction, First Call Resolution rate, Average handling time, and Customer churn rate.
Mental Health
Analyze speech signals to detect psychological and psychiatric disorders such as depression and bipolar disorder.
Cognitive Health
Monitor and assess cognitive impairment based on the speaking patterns of the patients. Check our paper on Cross-lingual dementia detection
Chatbots
With the rise of generative AI applications, there is a definite need for machines to be able to understand human emotions. By incorporating behavioral information from voice, such applications can enhance user interactions by responding with greater empathy, adjusting tone and content based on emotional cues, and providing more personalized and emotionally intelligent responses.
Education & Learning
Enhance educational tools by incorporating students’ emotional state. This allows educators or adaptive learning platforms to respond appropriately, offering additional support when needed. It could also be used in special cases, to aid in social skills training (for example children with autism which often struggle with recognizing and expressing emotions, both in themselves and in others).
Public Speaking & Coaching
analyze patterns of speaking styles, behaviors, and emotions to assess the quality of public speaking and propose actionable feedback. Check our TED-talks case study and award-winning paper
Security & Law enforcement
Detecting outliers such as urgent calls or disturbances in public places. Also our technology can be used to build deepfake detection systems based on behavioral attributes.
Market Research
Analyze speech data from focus groups to quantify participants’ engagement and reactions to products and advertising material.
HR
Analyze speech to provide guidance and insights in data from interviews and business meetings, in order to improve HR operations and employee wellness.
Healthcare experience: analyze speech to understand patient-doctor interaction, and therefore improve empathy.
Our clients
R&D Leads
Prof. Shrikanth Narayanan
USC - Scientific Lead
Theodoros Giannakopoulos
II&T, NCSR Demokritos - ML Lead
Nassos Katsamanis
ATHENA - Technical Lead
4 Steps to Value Deployment
Discover
During a 2h consultation, with senior researchers, we will discuss the problem you are trying to solve and create an assessment of the business opportunity
Plan
The next stage includes a 2 to 3-week technology feasibility study and initial experimentation providing an estimate of effort, data, and time needed to achieve the goal. Additionally, we will be able to review initial performance indicators and associated RoI. We will also define the API needed by the application developers.
Build
The 3rd step involves development, in over a 2 to 3-month process, including the following phases:
i) data collection/annotation &
feature and model engineering &
performance optimization and validation,
ii) connect to the data store,
iii) build and test APIs
Deploy
Produced APIs or MVPs are put to production and end-to-end performance is evaluated and monitored
Our solutions are based on open-source software and on the leading emotion and behavioral AI platform from Behavioral Signals and owned by the customer.
Your data privacy is assured using only HIPPA/GDPR compliant cloud resources under your control.
Publications and Awards
[1] Chatziagapi, A., Sgouropoulos, D., Karouzos, C., Melistas, T., Giannakopoulos, T., Katsamanis, A., & Narayanan, S. (2022, October). Audio and ASR-based filled pause detection. In 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 1-7). IEEE.
[2] Antonia Petrogianni, Lefteris Kapelonis, Nikos Antoniou, Sofia Eleftheriou, Petros Mitseas, Dimitris Sgouropoulos, Nassos Katsamanis, Thodoris Giannakopoulos and Shrikanth Narayanan “RobuSER: A robustness Benchmark for Speech Emotion Recognition”, In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 1-7). IEEE.
[3] Dimitrios Sgouropoulos, Petros Mitseas, Sofia Eleftheriou, Theodoros Giannakopoulos, Antonia Petrogianni, Lefteris Kapelonis, Nikolaos Antoniou, Nassos Katsamanis and Shrikanth Narayanan “Emotion-Aware Speech Popularity Prediction: A Use-Case on Ted Talks”, In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 1-7). IEEE.
[4] Can AI Improve the way you speak?,
T. Giannakopoulos
[5] Emotion-aware movie characterization with Oliver API,
T. Giannakopoulos
[6] Using AI to understand the way a movie “looks” and “sounds” like,
T. Giannakopoulos
[7] Giannakopoulos, Theodoros, Spiros Dimopoulos, Georgios Pantazopoulos, Aggelina Chatziagapi, Dimitris Sgouropoulos, Athanasios Katsamanis, Alexandros Potamianos, and Shrikanth Narayanan. “Using Oliver API for emotion-aware movie content characterization.” In 2019 International Conference on Content-Based Multimedia Indexing (CBMI), pp. 1-4. IEEE, 2019.
[8] Thomas Melistas1, Lefteris Kapelonis1, Nikos Antoniou1, Petros Mitseas, Dimitris Sgouropoulos, Theodoros Giannakopoulos, Athanasios Katsamanis, Shrikanth Narayanan, ”Cross-Lingual Features for Alzheimer’s Dementia Detection from Speech”, INTERSPEECH 2023
Patents & Awards
6 time winner of the INTERSPEECH
quality of human interactions &
computational paralinguistics challenge
Exclusive patent license
“Emotion Recognition System”
Winner: Sentiment analysis twitter
challenge SemEval/NAACL 2016
Full patent filed “Deep Actionable Behavioral Profiling and
Shaping” (provisional June 2018 – full June 2019)
Winner: Gold-standard Emotion Sub-challenge
at the 2018 ACM Audio-Visual Emotion Challenge
Two provisional patents filed on “Deep Fusion for Emotion Recognition”
and “Data Augmentation for Emotion/Behavioral Profiling” (May 2019)
Numerous award-winning papers
