This invention relates to the field of speech
signal processing and live
broadcast quality control technology, and discloses a method and
system for real-time monitoring and correction of speech anomalies in news live broadcasts. The method includes: extracting multi-dimensional acoustic feature vectors from the announcer's speech
signal in real time by frame segmentation and storing them in a circular feature buffer; performing
parallel detection of abnormal pauses, speech errors, and sudden volume changes based on the feature vectors; pushing prompts through in-ear monitors, highlighting deviation positions on the teleprompter, or triggering a dynamic compressor to smooth the volume according to the type of abnormal event; recording abnormal events to generate a
broadcast quality analysis report and using this report to correct the
detection threshold. This invention achieves
millisecond-level real-
time perception and immediate correction assistance for broadcast anomalies, significantly shortening the
response delay of traditional manual monitoring.