Black Basil Technologies

  Our new study “ Unveiling Emotions in Speech: A Multi-Dimensional Transformer Approach ” explores using transformer models to classify emotions in human speech. By analyzing acoustic features like arousal and valence, we trained multiple transformer architectures.  Our experiments found a 3-transformer design achieved up to 90% accuracy in detecting emotions like happiness, sadness, and anger in speech samples. This research demonstrates the potential of AI to perceive emotions for more natural human-machine interactions. Research Process: Challenges: Outcomes: Applications Of Our Research: Our Future Plans:

  Customers are tired of being positioned technologies, your team's greatness, and proficiency in specific tools and products. They are also fed up with your company being a Microsoft, Oracle, SAP, PEGA certified partner, and so on and so forth. In the rapidly evolving landscape of technology, the emphasis has traditionally been on showcasing the features and specifications of products and companies . Companies often engage in a race to highlight such features every time they go out to market . However, a paradigm shift is underway, urging businesses to move away from a product and company -centric approach and instead focus on selling comprehensive solutions to meet the diverse needs of their customers.     Understanding the Shift     From Features to Benefits:   In the past, tech companies have been guilty of inundating consumers with technical jargon and specifications. However, customers are not just looking for cutting-edge technologies; they a...