Barbara Schuppler from the Signal Processing and Speech Communication Laboratory at Graz University of Technology (TU Graz), together with researchers from ... built up a database of conversations in ...

Speech recognition models tend to struggle when presented with voices that shift over time, whether due to age, stress, or ...

by 2025 the number of devices equipped with speech recognition will exceed the planet's population. And the technology is still evolving. Until now, speech recognition has relied upon a device being ...

Natural language IVR can boost the agent and customer experience, but it comes at a cost. Here’s how to know if it's right ...

Callytics is an advanced call analytics solution that leverages speech recognition and large language models (LLMs) technologies to analyze phone conversations from customer service and call centers.

Cross-platform speech toolset, used from the command-line or as a Node.js library. Includes a variety of engines for speech synthesis, speech recognition, forced alignment, speech translation, voice ...

Smart IVR represents the next generation of interactive voice response systems. Learn what it can do for your customers and ...

We will allow more speech by lifting restrictions on some topics that are part of mainstream discourse and focusing our ...

Capable of identifying and verifying individuals by analyzing their facial features, facial recognition technology has integrated into everyday life, revolutionizing tasks such as unlocking ...

Researchers from the University of Zurich demonstrated how GPT-4 can enhance Alzheimer’s Disease detection by analyzing ...

By incorporating advanced speech recognition technology and natural language processing, AI language learning apps offer instant feedback on pronunciation and grammar, helping learners improve their ...