In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean speech samples with gTTS, deliberately adding noise to simulate real-world ...

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) ...

Objective: This study aimed to compare the evaluation outcomes of SLPs and an automatic speech recognition (ASR) model using two standardized SSD assessments in South Korea, evaluating the ASR model’s ...

What if the race to perfect AI speech recognition wasn’t just about accuracy but also speed and usability? In a world where audio-to-text transcription powers everything from virtual meetings to ...

As powerful as today’s Automatic Speech Recognition (ASR) systems are, the field is far from “solved.” Researchers and practitioners are grappling with a host of challenges that push the boundaries of ...

Discover the latest advancements in Python speech recognition, comparing open-source libraries and cloud-based solutions for efficient implementation in 2025. The landscape of Python speech ...

Rosy Southwell is a postdoc research scientist at CU Boulder who holds a PhD in Cognitive Neuroscience from University College London, UK and an MS in Natural Sciences from University of Cambridge, UK ...

Are humans or machines better at recognizing speech? A new study shows that in noisy conditions, current automatic speech recognition (ASR) systems achieve remarkable accuracy and sometimes even ...

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 ...