Draft:Behavioral Signals
Comment: I have draftified this article as it does not have sufficient reliabale, independent sources with significant coverage to establish notability. Andy Mabbett (Pigsonthewing); Talk to Andy; Andy's edits 18:39, 25 November 2025 (UTC)
 | This is a draft article. It is a work in progress open to editing by anyone. Please ensure core content policies are met before publishing it as a live Wikipedia article. Find sources: Google (books · news · scholar · free images · WP refs) · FENS · JSTOR · TWL Last edited by Mullafacation (talk | contribs) 3 months ago. (Update)
Finished drafting? |
Behavioral Signals is an American artificial intelligence company specializing in speech analytics and emotion recognition technologies.[citation needed] Founded in 2016 and headquartered in Los Angeles, California, the company develops AI-driven solutions for conversational analysis, behavioral profiling, and deepfake detection.[1]
Overview
Behavioral Signals was founded in 2016 by a team including Shri Narayanan, a professor at the University of Southern California.[1][2] The company emerged from research in speech processing and affective computing. In 2020, Behavioral Signals was recognized as a "Cool Vendor" in AI for customer analytics by Gartner.[3][4]
The company's technology analyzes vocal patterns to detect emotional states and behavioral cues in speech.[5][6] Its AI-Mediated Conversations (AI-MC) platform applies machine learning to optimize human interactions. Behavioral Signals has participated in several academic challenges, including the INTERSPEECH computational paralinguistics challenge and the SemEval sentiment analysis competition.[7][6]
Products and services
Behavioral Signals offers:
- Emotion recognition AI for customer service applications
- Deepfake detection technology[8]
- Behavioral profiling through voice analysis
- Custom AI solutions for enterprise clients[9]
Recognition
- Multiple awards in the INTERSPEECH computational paralinguistics challenge[citation needed]
- SemEval/NAACL Twitter sentiment analysis challenge winner (2016)[citation needed]
References
- ^ a b Timeso, The Washington. "U.S. military intelligence officials eye AI strategy to ensure machines don't take charge". The Washington Times. Retrieved November 20, 2025.
- ^ "Tapping Artificial Intelligence for Global Development – THISDAYLIVE". Retrieved November 20, 2025.
- ^ Insights, StartUs (June 25, 2020). "5 Top Emerging Affective Computing Solutions Impacting the Industry". StartUs Insights. Retrieved November 20, 2025.
- ^ "2020 Noonies Awards: Official Winners of The Internet Now Declared | HackerNoon". noonies.tech. Retrieved November 20, 2025.
- ^ "Rana Gujral on Teaching AI to Be Sympathetic and Even "Predict Human Intent"". TechTheLead. March 1, 2022. Retrieved November 20, 2025.
- ^ a b "Integrating Voice AI into Customer Comms with Rana Gujral, Behavioral Signals". www.money2020.com. Retrieved November 20, 2025.
- ^ Hernandez, Daniela; Strong, Jennifer (June 14, 2018). "How Computers Could Make Your Customer-Service Calls More Human". Wall Street Journal. ISSN 0099-9660. Retrieved November 20, 2025.
- ^ Motumi, Mpiletso (May 12, 2020). "Emotion technology is the future of AI". IOL. Retrieved November 20, 2025.
- ^ "Rana Gujral Bio | Conference 2020". www.stonybrook.edu. Retrieved November 20, 2025.
External links
Content Disclaimer
Informasi ini disarikan dari Wikipedia dan disajikan kembali untuk tujuan edukasi. Konten tersedia di bawah lisensi CC BY-SA 3.0. Kami tidak bertanggung jawab atas ketidakakuratan data yang bersumber dari kontribusi publik tersebut.
- The information displayed on this website is sourced in part or in whole from Wikipedia and has been adapted for the purpose of restating it. We strive to provide accurate and relevant information, however:
- There is no guarantee of absolute accuracy. Wikipedia is an open, collaborative project that can be edited by anyone, so information is subject to change.
- It is not intended to constitute professional advice. The content displayed is for informational and educational purposes only. For important decisions (e.g., medical, legal, or financial), please consult a professional.
- Content copyright. Wikipedia is licensed under the Creative Commons Attribution-ShareAlike License (CC BY-SA). This means that content may be reused with appropriate attribution and shared under a similar license.
- Responsible use. Any risk arising from the use of information from this website is entirely the responsibility of the user.