OpenAI_whisperLive / segments.py
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from typing import Any, Dict, List
import copy
def merge_timestamps(timestamps: List[Dict[str, Any]], merge_window: float = 5, max_merge_size: float = 30, padding_left: float = 1, padding_right: float = 1):
result = []
if len(timestamps) == 0:
return result
if max_merge_size is None:
return timestamps
if padding_left is None:
padding_left = 0
if padding_right is None:
padding_right = 0
processed_time = 0
current_segment = None
for i in range(len(timestamps)):
next_segment = timestamps[i]
delta = next_segment['start'] - processed_time
# Note that segments can still be longer than the max merge size, they just won't be merged in that case
if current_segment is None or (merge_window is not None and delta > merge_window) \
or next_segment['end'] - current_segment['start'] > max_merge_size:
# Finish the current segment
if current_segment is not None:
# Add right padding
finish_padding = min(padding_right, delta / 2) if delta < padding_left + padding_right else padding_right
current_segment['end'] += finish_padding
delta -= finish_padding
result.append(current_segment)
# Start a new segment
current_segment = copy.deepcopy(next_segment)
# Pad the segment
current_segment['start'] = current_segment['start'] - min(padding_left, delta)
processed_time = current_segment['end']
else:
# Merge the segment
current_segment['end'] = next_segment['end']
processed_time = current_segment['end']
# Add the last segment
if current_segment is not None:
current_segment['end'] += padding_right
result.append(current_segment)
return result