The field of speech recognition has experienced transformative advances owing to the integration of neural network methodologies. Modern systems now merge statistical approaches with deep learning, ...
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 ...
Speech recognition has evolved from rudimentary pattern‐matching systems into sophisticated, data‐driven technologies that convert spoken language into written text. Modern automatic speech ...
In K–12 education, Automatic Speech Recognition (ASR) is increasingly being applied to support learning, engagement, and accessibility. However, developing ASR systems for children continues to poses ...
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