Application of Language Recognition Technology in Medium and Short Wave Broadcasting
In medium and short wave broadcasting, speech signals are often affected by various noises, such as electromagnetic interference and environmental noise, which increases the difficulty of speech recognition. Based on this, a comprehensive exploration was conducted on the application of language recognition technology in strong noise environments of medium and short wave broadcasting. Feature extraction technology, model adaptation strategies, construction of language feature libraries, and model adjustment methods were introduced in detail, aiming to improve the accuracy and efficiency of language recognition in medium and short wave broadcasting.
language recognition technologymedium and short wave broadcastingstrong noise speech and audio recognition
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