The invention discloses a hierarchical
rhythm mapping-driven short video
copywriting mood automatic adjustment method, and relates to the technical field of
video processing, and the method comprises the steps: 1, receiving a text character string and a
language type identifier, and building an occupation column for bearing a tone mark, an accent mark and a duration mark at each level; 2, dividing each
sentence into
phrase segments based on the hierarchical index table, freezing boundaries by taking the
phrase segments as units, presetting
sentence end termination styles according to punctuations, determining kernel phrases according to semantic anchor points, initializing trends of the kernel phrases, and performing
time sequence elastic alignment and hierarchical backfilling to obtain a
sentence end termination pattern; and finally outputting a triple sequence which covers all syllables and is composed of tone marks, accent marks and duration marks as a target
rhythm control sequence. And step 3, performing audio generation based on the target
rhythm control sequence to obtain new dubbing. According to the method, the tone accuracy and expressive force of short video dubbing are improved, and the time and cost of manual adjustment are remarkably reduced.