filler-word-processing

name	filler-word-processing
description	Process filler word annotations to generate video edit lists. Use when working with timestamp annotations for removing speech disfluencies (um, uh, like, you know) from audio/video content.

Filler Word Processing

Annotation Format

Typical annotation JSON structure:

[
  {"word": "um", "timestamp": 12.5},
  {"word": "like", "timestamp": 25.3},
  {"word": "you know", "timestamp": 45.8}
]

Converting Annotations to Cut Segments

Each filler word annotation marks when the word starts. To remove it, use word-specific durations since different fillers have different lengths:

 json


WORD_DURATIONS = {
    : ,
    : ,
    : ,
    : ,
    : ,
    : ,
    : ,
    : ,
    : ,
    : ,
    : ,
    : ,
    : ,
    : ,
    : ,
}
DEFAULT_DURATION = 

 ():
    
     (annotations_file)  f:
        annotations = json.load(f)

    segments = []
     ann  annotations:
        word = ann.get(, ).lower().strip()
        timestamp = ann[]
        
        word_duration = WORD_DURATIONS.get(word, DEFAULT_DURATION)
        
        start = (, timestamp - buffer)
        
        end = timestamp + word_duration
        segments.append((start, end))

     segments