Emotion recognition in speech, driven by advances in neural network methodologies, has emerged as a pivotal domain in human–machine interaction. The deployment of sophisticated architectures such as ...

Google has updated its Voice Search models to be powered by Speech-to-Retrieval (S2R). Google said this allows it to "gets answers straight from your spoken query without having to convert it to text ...

You’ve probably experienced the frustration of being misheard or misunderstood by a smart speaker or AI assistant. For people with non-standard speech, it can happen in nearly every interaction with ...

They could help lead to speech apps for many more languages than exist now. Meta has built AI models that can recognize and produce speech for more than 1,000 languages—a tenfold increase on what’s ...

Balls of human brain cells linked to a computer have been used to perform a very basic form of speech recognition. The hope is that such systems will use far less energy for AI tasks than silicon ...

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 ...

A study conducted by Meticulous Market Research estimates that by 2025, the global voice recognition market will reach $26.8 billion. Today, more than 1 in 4 people regularly use voice search on their ...

The demand for voice and speech recognition technologies is massive — and growing. An analysis by market research firm Markets and Markets found that the sector could be worth over $28.1 billion by ...

Clusters of brain cells grown in the lab have shown potential as a new type of hybrid bio-computer. Brain organoids, clumps of human brain cells grown in a dish, can be hooked up to an electronic chip ...