Optimizing only for Automatic Speech Recognition (ASR) and Word Error Rate (WER) is insufficient for modern, interactive voice agents. Robust evaluation must measure ...

In today’s voice-first world, it’s not enough for systems to simply hear what users say. They need to understand it with precision. In high-stakes environments like healthcare, finance, or enterprise ...

QUESTION: How can I get voice recognition to spell people’s names correctly? ANSWER: Voice recognition tools are amazing for quickly sending messages or dictating notes, but they can stumble when it ...

17:00 – 17:40 40 min Huck Semantic Context and Speech–Language Modeling 17:40 – 18:10 30 min Kyu Contextual Biasing and Methods for Leveraging Extended Semantic Context in Speech Systems Arora, ...

Every time you say something to Alexa or Siri, or use voice to text to send a text message, you’re using artificial intelligence. While those programs can be pretty accurate, there’s plenty of times ...

Abstract: This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and gives practical details on methods of implementation ...

These days, people can have natural conversations with their phones as if they were chatting with a friend. That’s thanks to the rapid evolution of voice recognition AI (artificial intelligence) ...

ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...

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