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egs/wsj/s5/steps/segmentation/evaluate_segmentation.pl
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#!/usr/bin/env perl # Copyright 2014 Johns Hopkins University (Author: Sanjeev Khudanpur), Vimal Manohar # Apache 2.0 ################################################################################ # # This script was written to check the goodness of automatic segmentation tools # It assumes input in the form of two Kaldi segments files, i.e. a file each of # whose lines contain four space-separated values: # # UtteranceID FileID StartTime EndTime # # It computes # missed frames, # false positives and # overlapping frames. # ################################################################################ if ($#ARGV == 1) { $ReferenceSegmentation = $ARGV[0]; $HypothesizedSegmentation = $ARGV[1]; printf STDERR ("Comparing reference segmentation \t%s with proposed segmentation \t%s ", $ReferenceSegmentation, $HypothesizedSegmentation); } else { printf STDERR "This program compares the reference segmenation with the proposted segmentation "; printf STDERR "Usage: $0 reference_segments_filename proposed_segments_filename "; printf STDERR "e.g. $0 data/dev10h/segments data/dev10h.seg/segments "; exit (0); } ################################################################################ # First read the reference segmentation, and # store the start- and end-times of all segments in each file. ################################################################################ open (SEGMENTS, "cat $ReferenceSegmentation | sort -k2,2 -k3n,3 -k4n,4 |") || die "Unable to open $ReferenceSegmentation"; $numLines = 0; while ($line=<SEGMENTS>) { chomp $line; @field = split("[ \t]+", $line); unless ($#field == 3) { exit (1); printf STDERR "Skipping unparseable line in file $ReferenceSegmentation \t$line "; next; } $fileID = $field[1]; unless (exists $firstSeg{$fileID}) { $firstSeg{$fileID} = $numLines; $actualSpeech{$fileID} = 0.0; $hypothesizedSpeech{$fileID} = 0.0; $foundSpeech{$fileID} = 0.0; $falseAlarm{$fileID} = 0.0; $minStartTime{$fileID} = 0.0; $maxEndTime{$fileID} = 0.0; } $refSegName[$numLines] = $field[0]; $refSegStart[$numLines] = $field[2]; $refSegEnd[$numLines] = $field[3]; $actualSpeech{$fileID} += ($field[3]-$field[2]); $minStartTime{$fileID} = $field[2] if ($minStartTime{$fileID}>$field[2]); $maxEndTime{$fileID} = $field[3] if ($maxEndTime{$fileID}<$field[3]); $lastSeg{$fileID} = $numLines; ++$numLines; } close(SEGMENTS); print STDERR "Read $numLines segments from $ReferenceSegmentation "; ################################################################################ # Process hypothesized segments sequentially, and gather speech/nonspeech stats ################################################################################ open (SEGMENTS, "cat $HypothesizedSegmentation | sort -k2,2 -k1,1 |") # Kaldi segments files are sorted by UtteranceID, but we re-sort them here # so that all segments of a file are read together, sorted by start-time. || die "Unable to open $HypothesizedSegmentation"; $numLines = 0; $totalHypSpeech = 0.0; $totalFoundSpeech = 0.0; $totalFalseAlarm = 0.0; $numShortSegs = 0; $numLongSegs = 0; while ($line=<SEGMENTS>) { chomp $line; @field = split("[ \t]+", $line); unless ($#field == 3) { exit (1); printf STDERR "Skipping unparseable line in file $HypothesizedSegmentation \t$line "; next; } $fileID = $field[1]; $segStart = $field[2]; $segEnd = $field[3]; if (exists $firstSeg{$fileID}) { # This FileID exists in the reference segmentation # So gather statistics for this UtteranceID $hypothesizedSpeech{$fileID} += ($segEnd-$segStart); $totalHypSpeech += ($segEnd-$segStart); if (($segStart>=$maxEndTime{$fileID}) || ($segEnd<=$minStartTime{$fileID})) { # This entire segment is a false alarm $falseAlarm{$fileID} += ($segEnd-$segStart); $totalFalseAlarm += ($segEnd-$segStart); } else { # This segment may overlap one or more reference segments $p = $firstSeg{$fileID}; while ($refSegEnd[$p]<=$segStart) { ++$p; } # The overlap, if any, begins at the reference segment p $q = $lastSeg{$fileID}; while ($refSegStart[$q]>=$segEnd) { --$q; } # The overlap, if any, ends at the reference segment q if ($q<$p) { # This segment sits entirely in the nonspeech region # between the two reference speech segments q and p $falseAlarm{$fileID} += ($segEnd-$segStart); $totalFalseAlarm += ($segEnd-$segStart); } else { if (($segEnd-$segStart)<0.20) { # For diagnosing Pascal's VAD segmentation print STDOUT "Found short speech region $line "; ++$numShortSegs; } elsif (($segEnd-$segStart)>60.0) { ++$numLongSegs; # For diagnosing Pascal's VAD segmentation print STDOUT "Found long speech region $line "; } # There is some overlap with segments p through q for ($s=$p; $s<=$q; ++$s) { if ($segStart<$refSegStart[$s]) { # There is a leading false alarm portion before s $falseAlarm{$fileID} += ($refSegStart[$s]-$segStart); $totalFalseAlarm += ($refSegStart[$s]-$segStart); $segStart=$refSegStart[$s]; } $speechPortion = ($refSegEnd[$s]<$segEnd) ? ($refSegEnd[$s]-$segStart) : ($segEnd-$segStart); $foundSpeech{$fileID} += $speechPortion; $totalFoundSpeech += $speechPortion; $segStart=$refSegEnd[$s]; } if ($segEnd>$segStart) { # There is a trailing false alarm portion after q $falseAlarm{$fileID} += ($segEnd-$segStart); $totalFalseAlarm += ($segEnd-$segStart); } } } } else { # This FileID does not exist in the reference segmentation # So all this speech counts as a false alarm exit (1); printf STDERR ("Unexpected fileID in hypothesized segments: %s", $fileID); $totalFalseAlarm += ($segEnd-$segStart); } ++$numLines; } close(SEGMENTS); print STDERR "Read $numLines segments from $HypothesizedSegmentation "; ################################################################################ # Now that all hypothesized segments have been processed, compute needed stats ################################################################################ $totalActualSpeech = 0.0; $totalNonSpeechEst = 0.0; # This is just a crude estimate of total nonspeech. foreach $fileID (sort keys %actualSpeech) { $totalActualSpeech += $actualSpeech{$fileID}; $totalNonSpeechEst += $maxEndTime{$fileID} - $actualSpeech{$fileID}; ####################################################################### # Print file-wise statistics to STDOUT; can pipe to /dev/null is needed ####################################################################### printf STDOUT ("%s: %.2f min actual speech, %.2f min hypothesized: %.2f min overlap (%d\%), %.2f min false alarm (~%d\%) ", $fileID, ($actualSpeech{$fileID}/60.0), ($hypothesizedSpeech{$fileID}/60.0), ($foundSpeech{$fileID}/60.0), ($foundSpeech{$fileID}*100/($actualSpeech{$fileID}+0.01)), ($falseAlarm{$fileID}/60.0), ($falseAlarm{$fileID}*100/($maxEndTime{$fileID}-$actualSpeech{$fileID}+0.01))); } ################################################################################ # Finally, we have everything needed to report the segmentation statistics. ################################################################################ printf STDERR ("------------------------------------------------------------------------ "); printf STDERR ("TOTAL: %.2f hrs actual speech, %.2f hrs hypothesized: %.2f hrs overlap (%d\%), %.2f hrs false alarm (~%d\%) ", ($totalActualSpeech/3600.0), ($totalHypSpeech/3600.0), ($totalFoundSpeech/3600.0), ($totalFoundSpeech*100/($totalActualSpeech+0.000001)), ($totalFalseAlarm/3600.0), ($totalFalseAlarm*100/($totalNonSpeechEst+0.000001))); printf STDERR ("\t$numShortSegs segments < 0.2 sec and $numLongSegs segments > 60.0 sec "); printf STDERR ("------------------------------------------------------------------------ "); |