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If you’re wondering how long this takes - it took about five-and-a-half minutes on my fairly underpowered (by modern standards) workstation. test_srt.py Fantastic\ Mr\ Fox.wav > Fantastic\ Mr\ Fox.srt Now we can run Vosk to convert the speech in the audiobook to text!: python3. The model is the pre-trained ML layers that encode what has been learnt about speech, i.e.

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First, we download the English language trained models: git clone ffmpeg -i Fantastic\ Mr\ Fox.mp3 -ar 16000 -ac 1 Fantastic\ Mr\ Fox.wav

So long as the decoded WAV file’s durations are the same, the original source can be used as the subject of the split. So, I used ffmpeg to decode the audiobook’s MP3 files. It’s unlikely that your audio file is in that format, and this one certainly wasn’t. Vosk requires a decoded mono WAV file with a sample rate of 16kHz.

AUTOMATIC MP3 SPLITTER INSTALL

Once that was done, installing was as simple as: $ pip3 install vosk First, I needed to get Python3 and pip up to date. I followed the installation instructions for Vosk. If you're not a geek, just ignore those bits, I'll try to describe what I found and my results regardless of how I did it. " Really easy to get started with" is a relative phrase the instructions below are really only for geeks (by which I mean: someone very comfortable with computers). It turns out that Vosk is really easy to get started with.

AUTOMATIC MP3 SPLITTER SOFTWARE

However, I figured it would be easier to get up and running with some software on my own computer - I am a self hoster after all! These are used by automated translation services you might have on your smartphone. You might already have used one - examples are IBM Watson and Google Cloud Speech. There are a number of speech-to-text services out there. Finding the chapter breaks with machine learning using Vosk It can be frustrating to scan from silence to silence looking for the correct gap.īeing a geek, I thought… how about we apply AI (Artificial Intelligence) to the problem? In this case - a form of AI called machine learning (ML). Points of silence in the waveform may be the start of a chapter… or they may not. Regardless of the tool you use, the disadvantage of this is that it’s quite manual. Good luck finding the chapter breaks there… The ‘traditional’ solution to finding the chapter start points is to use an audio editor or viewer to view the waveform of the audio file and discern where the chapters start from there.Ī common solution is Audacity but if you’re just looking for the cut points then an online viewer could work - take a look at - no uploading involved.

AUTOMATIC MP3 SPLITTER HOW TO

How to get these positions into a splitting tool so the file can be split.

Where the chapters start in the audio file.

Different approaches to splitting audiobooksĪbove, I decided I wanted separate files as an output to this process. In the end I actually did both a CUE sheet is a convenient way of storing track points in a standardized format that can be fed to splitting tools, so I ended up generating one. Therefore, due to that constraint, I have to split the files. However, my car’s music player is not even capable of reading ID3v2 tags, so the likelihood of it reading a CUE sheet is non existent. It’s not the greatest analogy, but think of CUE sheets a little like playlists in reverse - it splits audio rather than joining it. It also allows the tracks to have metadata. CUE sheets are text files that, for a source audio file, describe where each constituent track should start and end. You can avoid this with an additive solution. That might not particularly bother you, although there are a number of disadvantages for collectors. This is fine, although it does have the disadvantage of being less “true” to the original source material. The obvious result is a bunch of new audio files, created from the original monolithic file. How you go about splitting an audiobook depends on what you want the result to be. In my case we tend to play these stories in the car for our children and our car’s stereo is definitely not sophisticated.

Your music player might be sophisticated and remember your position in a particular file but many aren’t. It’s typical you won’t finish the audiobook in one sitting. What’s the problem with one MP3 file? Mainly: seeking. For smaller books you might get away with it, but for some of the books in that collection, such as Charlie and the Chocolate Factory, you’re talking about one unwieldy MP3 file ( I would normally rip a CD in FLAC format, but in this CD boxset the audio actually comes as an MP3 file on a data CD). Monolithic audiobooks are audiobooks packaged in one audio file. But there was always one problem with that particular boxset: monolithic audiobooks. The organisation scheme I derived has proven itself pretty useful. Splitting audiobooks into chapters with AI and crossed fingersĪbout a year ago I blogged about organising audiobook boxset files.