如何使用正则表达式删除带有数字的特定单词模式？

Question

I have a string of words which generate different patterns of similar words through different audio file, I want to use regex pattern to get that pattern of words and remove it for the actual text. For example I have the text below:

text = "Yeah Cool\nSpeaker 100:00:03Uh, you know, when you score three goals, you expect to win a game, you know, but, uh,"

All I want to do is a regex pattern that can detect Speaker 100:00:03 and other similar pattern, depending on the audio file, at times i might have Speaker 100:00:01 which looks different from the first one but they are similar

Is there a better way to do this?

I was using string replace which is not a universal solution which is this:

new_text  = text.replace('Speaker 000:00:00', '')

This is the expected result after applying regex which is what I'm expecting.

text = "Yeah Cool Uh, you know, when you score three goals, you expect to win a game, you know, but, uh,"

Answer 1

Depending on the exact format of the timestamp, re.sub with the following pattern should work

>>> re.sub('\nSpeaker \d{1,3}:\d{2}:\d{2}', ' ', text)
'Yeah Cool Uh, you know, when you score three goals, you expect to win a game, you know, but, uh,'

Answer 2

Very simple regular expression:

import re
text = "Yeah Cool\nSpeaker 100:00:03Uh, you know, when you score three goals, you expect to win a game, you know, but, uh,"
re.sub(r'\nSpeaker \d\d\d:\d\d:\d\d', ' ', text)                                                
# 'Yeah Cool Uh, you know, when you score three goals, you expect to win a game, you know, but, uh,'

Answer 3

“\nSpeaker \d{3}:\d{2}:\d{2}”

\d detects a digit and {3} means three times... so \d{3} means three digits.

Try regex101.com it's a great site to experiment with reflex.