The Low-Code/No-Code Movement Builds in Speech Technology
Programming speech applications is becoming easier for people outside the IT department.
Accents Still Elude Speech Recognition Systems, But for How Long?
Speech technology vendors are more aware of accent and dialect discrepancies and are working to address them.
Why Can’t Speech Tech Have a New York Accent?
With a population of 8.8 million within the five boroughs, and nearly 19 million if you include the suburbs, one would be hard-pressed to call the New York metro area a small subset of any U.S. population group.
Carnegie Mellon ASR Pipeline Seeks to Recognize 1,900 Languages Without Audio
A research team from Carnegie Mellon University in Pittsburgh created a voice recognition pipeline that does not need audio to model low-resource languages.
Stanford Model Teaches Turn-Taking to Virtual Assistants
With the goal of creating a more natural conversational flow, a team of researchers at Stanford University replaced the classification approach traditionally used with a more continuous approach.