<p>As an English teacher, and also a programmer, I've created a system of listening that works this way:</p>

<p>I choose an interesting video full of speech.<br>
<strong>I manually cut it into peices based on slinces where there is no speech</strong> (By silence I'm referring the the parts where speaker pauses for a second to breathe. The very very tiny pause between sentences)<br>
I use transcription services to extract text of each part<br>
And many other steps...</p>

<p>As a software programmer I hate manual operations. I don't like the idea of splitting a video into parts by hands. It really is a time consuming and dirty job.</p>

<p>Googling around I couldn't find anything. Is it possible to do that? How?</p>

CC BY-SA 3.0
2015-12-10T18:42:19.157Z
See my answer to this question: http://video.stackexchange.com/q/16967/1871
Gyan
CC BY-SA 3.0
2015-12-10T20:37:53.517Z
Dirty job! Them's fightin' words, pilgrim.  Joking aside, you're going to have to listen to the whole thing after you process it and fix mistakes anyway.  Might as well do it right the first time.  If it's too time consuming for you, hire someone or get a student to do it.
Jason Conrad
CC BY-SA 3.0
2015-12-11T12:40:07.630Z
This reminds me of a question on superuser, where he used audacity to monitor the noise his kids made. When it got too loud the screen would switch off.
jiggunjer
CC BY-SA 3.0
2015-12-15T05:25:17.497Z
@Mulvya, thanks for your other answer. Very similar to what I want. I split the video into segments of 1 second, and guess what, mean_volume result was the same for all of'em. I don't know what's wrong here.
Saeed Neamati
CC BY-SA 3.0
2015-12-15T05:46:31.280Z
Can you upload a sample which contains both speech and silence?
Gyan
CC BY-SA 3.0
2015-12-15T05:49:12.280Z
Yeah, as a sample we can analyze [this ted talk](http://www.ted.com/talks/josh_luber_the_secret_sneaker_market_and_why_it_matters)
Saeed Neamati
CC BY-SA 3.0
2015-12-15T07:03:48.443Z
See http://pastebin.com/8tBd6a8F
Gyan
CC BY-SA 3.0
2015-12-15T07:47:44.657Z
Pastebin has a limit, so I have only pasted the first half of the log.
Gyan
CC BY-SA 3.0
2015-12-15T08:46:07.747Z
So, apparently I'm doing something wrong. I have to find it out. Thank you for the precious work.
Saeed Neamati
<video>
Is there a way to cut a speech video into parts on silences automatically?
Saeed Neamati
# Is there a way to cut a speech video into parts on silences automatically?

(Asked by: username_0 on 2015-12-10)

As an English teacher, and also a programmer, I've created a system of listening that works this way:

I choose an interesting video full of speech.  
**I manually cut it into peices based on slinces where there is no speech** (By silence I'm referring the the parts where speaker pauses for a second to breathe. The very very tiny pause between sentences)  
I use transcription services to extract text of each part  
And many other steps...

As a software programmer I hate manual operations. I don't like the idea of splitting a video into parts by hands. It really is a time consuming and dirty job.

Googling around I couldn't find anything. Is it possible to do that? How?

**Tags:** video

> **Comments:**
> **username_1**: See my answer to this question: http://video.stackexchange.com/q/16967/1871  
> **username_2**: Dirty job! Them's fightin' words, pilgrim.  Joking aside, you're going to have to listen to the whole thing after you process it and fix mistakes anyway.  Might as well do it right the first time.  If it's too time consuming for you, hire someone or get a student to do it.  
> **username_3**: This reminds me of a question on superuser, where he used audacity to monitor the noise his kids made. When it got too loud the screen would switch off.  
> **username_0**: @Mulvya, thanks for your other answer. Very similar to what I want. I split the video into segments of 1 second, and guess what, mean_volume result was the same for all of'em. I don't know what's wrong here.  
> **username_1**: Can you upload a sample which contains both speech and silence?  
> **username_0**: Yeah, as a sample we can analyze [this ted talk](http://www.ted.com/talks/josh_luber_the_secret_sneaker_market_and_why_it_matters)  
> **username_1**: See http://pastebin.com/8tBd6a8F  
> **username_1**: Pastebin has a limit, so I have only pasted the first half of the log.  
> **username_0**: So, apparently I'm doing something wrong. I have to find it out. Thank you for the precious work.  

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## 0 answers

