Leader in voice data extraction debuts new product to provide unmatched voice intelligence capabilities and AI-powered analytics to clients
Yobe, the leader in intelligent voice technology, today announced the launch of its newest product, VIENNA (VOICE INTELLIGENCE EXTRACTION FOR NEURAL NETWORK ANALYTICS). VIENNA is a cutting-edge voice extraction solution designed to revolutionize how businesses capture and analyze voice data, making it easier than ever to extract clear, valuable insights from conversations, even in noisy environments. This new solution builds off of Yobe’s proprietary AI-powered software, which excels at extracting meta-data enabling machines to focus on target speakers and helping businesses derive person-specific insights. Yobe’s launch of VIENNA marks the beginning of a new data-driven era of intelligent voice technology as the company continues to expand its impact in the sector.
Yobe’s new innovative solution was meticulously designed based on groundbreaking AI and signal processing science developed by Yobe’s Chief Scientist and co-founder, Professor Hamid Nawab. VIENNA allows for seamless integration from users, requiring only access to raw voice input data to begin delivering value. VIENNA is available now for organizations across various industries, from healthcare and retail to transportation and customer service, that are looking to harness the power of voice data for better business outcomes. VIENNA can be deployed flexibly—on the edge as an app or embedded system, hosted on the client’s server or soon available via a web-based API call. This versatility allows organizations to easily incorporate Yobe’s powerful technology into their existing systems, ensuring they can quickly unlock the full potential of their voice data. With the launch of VIENNA, Yobe solves the long-standing challenge of isolating and transcribing speech in complex, real-world settings. By leveraging Yobe’s unique blend of voice biometrics, intelligent voice activity detection and leveraging powerful large language models (LLMs), VIENNA ensures that only the most relevant speech is captured and analyzed, filtering out background noise and irrelevant chatter. More than just transcribing conversations, VIENNA captures emotional cues like frustration or satisfaction, helping businesses gain deeper insights into customer sentiment, improve operational efficiency and deliver enhanced user experiences.
This infusion of perceptual information allows for deeper, more meaningful analysis from voice communication, user interfaces and data analytic platforms. Companies can use VIENNA not only for tasks like identity verification and improving human-machine interaction but also to drive new product development by analyzing customer feedback and preferences in real time. For example, healthcare organizations can use VIENNA to gather patient feedback during consultations, improving care quality and patient experience. In retail, businesses can analyze voice interactions to better understand customer preferences, opening up opportunities for upselling and personalized shopping experiences. Additionally, in a customer service and support setting, teams can benefit from VIENNA’s ability to detect emotional cues during live interactions, which allows them to address customer dissatisfaction in real time, refine products and services and improve agent performance through data-driven feedback. By offering unmatched accuracy in noisy environments and the ability to extract actionable insights from unstructured voice data, VIENNA enables businesses to not only transcribe conversations but also turn the insights gained into opportunities for innovation, resulting in more efficient operations and reduced data processing costs.