Speech recognition technology enhances documentation efficiency, with a 0.25% increase in lines documented per hour for each 1% rise in usage. The study highlights the importance of speech recognition ...

The accuracy of our current voice recognition technology and speech-to-text systems is already impressive, but there’s still room for improvement. In the upcoming years, the accuracy of voice ...

Discover how FPGA-accelerated automatic speech recognition (ASR) models are reshaping the landscape of speech-to-text applications by enabling faster inference, significantly reduced latency, and ...

According to a Voices survey, 81% of Americans use voice assistants in their day-to-day life. Along with allowing users to search for information, these solutions also offer companies options to make ...

Want to know whether an audio file is created using AI technology? In this post, we will discuss a free AI speech detector tool called AI Speech Classifier. How is AI used in speech recognition?

A new generative AI feature brings voice recognition to tiny devices with a text-to-speech (TTS) synthetic dataset generation capability. It enables developers to generate synthetic speech data with ...

Artificial intelligence has turned voice from a novelty interface into a serious way of interacting with digital products and services. People now ask phones for directions, control their homes with ...

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 ...

Children’s speech presents unique challenges for ASR systems. Their smaller, growing vocal tracts lead to greater acoustic variability. On top of that, kids are still learning how to speak, making ...