Intellectual hub of the topic
In this section, we explore the evolution of interfaces: the transition from text input and simple algorithms to sophisticated systems capable of maintaining coherent, real-time dialogue. Here, you will find materials on the speech synthesis and recognition technologies that underpin today's voice assistants and autonomous agents. We analyze not only the technical architecture of these solutions but also their impact on user experience, business processes, and the ethical boundaries of human-machine interaction.
AI: Events
Development
A look at why the “end-of-speech” moment is so hard for voice AI to detect and how errors in this area can ruin the entire user experience.
Researchers have proposed a new approach to evaluating voice AI agents that considers not only the accuracy of answers but also the quality of a live conversation.
AI: Events
Infrastructure
PyTorch has introduced an approach for running voice AI agents locally on devices – without the cloud, with support for multiple platforms and real-time tasks.
A look at how modern speech recognition and intent analysis systems are transforming contact centers and why it matters to every customer.
Voice AI agents can already do a lot, but they are still far from achieving full autonomy. Let's explore what elements are missing for the next step in their development.
ElevenLabs developers have released an Expressive mode for voice agents so their speech sounds more natural during customer interactions.
The Bangalore-based developer has released a multimodal model that understands speech, text, and images, supports India's major languages, and is capable of operating offline.
The Lumeo regional health network is integrating Oracle Health's ambient AI to automatically generate medical notes. This solution aims to free physicians from routine paperwork, allowing them to focus more on patient care.
Mistral AI has unveiled Voxtral – a real-time speech transcription model featuring precise speaker separation and a new interactive «sandbox» for audio workflows.
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