-
-
Save avanavana/d398542fcb09207542495ad146edfee1 to your computer and use it in GitHub Desktop.
Using FFmpeg to split multimedia file into parts based on audio volume level
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/bin/bash | |
# Modified from original to encode as mp3, renamed to 'splitaudio', and made the usage text more substantial | |
IN=$1 | |
OUT=$2 | |
true ${SD_PARAMS:="-55dB:d=0.3"}; | |
true ${MIN_FRAGMENT_DURATION:="20"}; | |
export MIN_FRAGMENT_DURATION | |
if [ -z "$OUT" ]; then | |
echo "Usage: splitaudio <input_file> <output_template>" | |
echo "" | |
echo "Depends on FFmpeg, Bash, Awk, Perl 5. Not tested on Mac or Windows." | |
echo "" | |
echo "Arguments:" | |
echo " <input_file> Media file with silences, to split" | |
echo " <output_template> A printf-style string such as output-%03d.mp3 which increments for each output file" | |
echo "" | |
echo "Environment variables (with their current values):" | |
echo " SD_PARAMS=$SD_PARAMS Parameters for FFmpeg's silencedetect filter: noise tolerance and minimal silence duration" | |
echo " MIN_FRAGMENT_DURATION=$MIN_FRAGMENT_DURATION Minimal fragment duration" | |
exit 1 | |
fi | |
echo "Determining split points..." >& 2 | |
SPLITS=$( | |
ffmpeg -v warning -i "$IN" -af silencedetect="$SD_PARAMS",ametadata=mode=print:file=-:key=lavfi.silence_start -vn -sn -f s16le -y /dev/null \ | |
| grep lavfi.silence_start= \ | |
| cut -f 2-2 -d= \ | |
| perl -ne ' | |
our $prev; | |
INIT { $prev = 0.0; } | |
chomp; | |
if (($_ - $prev) >= $ENV{MIN_FRAGMENT_DURATION}) { | |
print "$_,"; | |
$prev = $_; | |
} | |
' \ | |
| sed 's!,$!!' | |
) | |
echo "Splitting points are $SPLITS" | |
ffmpeg -v warning -i "$IN" -c:a mp3 -map 0 -f segment -segment_times "$SPLITS" "$OUT" |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment