From 1475a216c31f682222367e6aac815f9e8898d81c Mon Sep 17 00:00:00 2001 From: Martin Bruse Date: Mon, 27 May 2024 08:17:28 +0000 Subject: [PATCH] Refactored CutFullyMasked to avoid an extra loop. Also refactored and cleaned up some naming and other small details. --- go/bin/score/score.go | 4 ++-- go/data/study.go | 43 +++++++++++++++++++++--------------------- go/goohrli/goohrli.a | Bin 20073570 -> 20068762 bytes 3 files changed, 24 insertions(+), 23 deletions(-) diff --git a/go/bin/score/score.go b/go/bin/score/score.go index c1f103b..4446f2c 100644 --- a/go/bin/score/score.go +++ b/go/bin/score/score.go @@ -44,7 +44,7 @@ func main() { zimtohrliScoreType := flag.String("zimtohrli_score_type", string(data.Zimtohrli), "Score type name to use when storing Zimtohrli scores in a dataset.") calculateViSQOL := flag.Bool("calculate_visqol", false, "Whether to calculate ViSQOL scores.") calculatePipeMetric := flag.String("calculate_pipe", "", "Path to a binary that serves metrics via stdin/stdout pipe. Install some of the via 'install_python_metrics.py'.") - zimtohrliParameters := goohrli.DefaultParameters(-1) + zimtohrliParameters := goohrli.DefaultParameters(48000) b, err := json.Marshal(zimtohrliParameters) if err != nil { log.Panic(err) @@ -179,7 +179,7 @@ func main() { } for _, bundle := range bundles { if bundle.IsJND() { - accuracy, err := bundle.Accuracy() + accuracy, err := bundle.JNDAccuracy() if err != nil { log.Fatal(err) } diff --git a/go/data/study.go b/go/data/study.go index 8891bae..4a552bb 100644 --- a/go/data/study.go +++ b/go/data/study.go @@ -259,17 +259,17 @@ func (r *ReferenceBundle) Correlate() (CorrelationTable, error) { return result, nil } -// AccuracyScore contains the accuracy for a metric when used to predict audible differences, and the threshold when that accuracy was achieved. -type AccuracyScore struct { +// JNDAccuracyScore contains the accuracy for a metric when used to predict audible differences, and the threshold when that accuracy was achieved. +type JNDAccuracyScore struct { ScoreType ScoreType Threshold float64 Accuracy float64 } -// AccuracyScores contains the accuracy scores for multiple score types. -type AccuracyScores []AccuracyScore +// JNDAccuracyScores contains the accuracy scores for multiple score types. +type JNDAccuracyScores []JNDAccuracyScore -func (a AccuracyScores) String() string { +func (a JNDAccuracyScores) String() string { table := Table{Row{"Score type", "Accuracy", "Threshold"}} table = append(table, nil) for _, score := range a { @@ -278,15 +278,15 @@ func (a AccuracyScores) String() string { return fmt.Sprintf("### Maximal audibility classification accuracy and threshold per score type\n\n%s", table.String()) } -func (a AccuracyScores) Len() int { +func (a JNDAccuracyScores) Len() int { return len(a) } -func (a AccuracyScores) Less(i, j int) bool { +func (a JNDAccuracyScores) Less(i, j int) bool { return a[i].Accuracy > a[j].Accuracy } -func (a AccuracyScores) Swap(i, j int) { +func (a JNDAccuracyScores) Swap(i, j int) { a[i], a[j] = a[j], a[i] } @@ -311,9 +311,9 @@ func ternarySearch(f func(int) float64, left, right int) int { return (left + right) / 2 } -func (r *ReferenceBundle) AccuracyAndThreshold(scoreType ScoreType) (float64, float64, error) { +func (r *ReferenceBundle) JNDAccuracyAndThreshold(scoreType ScoreType) (float64, float64, error) { if !r.IsJND() { - return 0, 0, fmt.Errorf("cannot compute accuracy on non-JND references") + return 0, 0, fmt.Errorf("cannot compute JND accuracy on non-JND references") } audible := sort.Float64Slice{} inaudible := sort.Float64Slice{} @@ -361,16 +361,16 @@ func (r *ReferenceBundle) AccuracyAndThreshold(scoreType ScoreType) (float64, fl return accuracy(bestAccuracyThresholdIndex), all[bestAccuracyThresholdIndex], nil } -// Accuracy returns the accuracy of each score type when used to predict audible differences. -func (r *ReferenceBundle) Accuracy() (AccuracyScores, error) { - result := AccuracyScores{} +// JNDAccuracy returns the accuracy of each score type when used to predict audible differences. +func (r *ReferenceBundle) JNDAccuracy() (JNDAccuracyScores, error) { + result := JNDAccuracyScores{} for scoreType := range r.ScoreTypes { if scoreType != JND { - accuracy, threshold, err := r.AccuracyAndThreshold(scoreType) + accuracy, threshold, err := r.JNDAccuracyAndThreshold(scoreType) if err != nil { return nil, err } - result = append(result, AccuracyScore{ + result = append(result, JNDAccuracyScore{ ScoreType: scoreType, Threshold: threshold, Accuracy: accuracy, @@ -408,7 +408,7 @@ func (r ReferenceBundles) CalculateZimtohrliMSE(z *goohrli.Goohrli) (float64, er return 0, err } if bundle.IsJND() { - accuracy, _, err := bundle.AccuracyAndThreshold(Zimtohrli) + accuracy, _, err := bundle.JNDAccuracyAndThreshold(Zimtohrli) if err != nil { return 0, err } @@ -464,9 +464,10 @@ const sampleRate = 48000 func mutate(z *goohrli.Goohrli, rng *rand.Rand, temp float64) *goohrli.Goohrli { params := z.Parameters() - params.FilterOrder = mutateInt(params.FilterOrder, 2, 5, rng, temp) - params.FilterPassBandRipple = mutateFloat(params.FilterPassBandRipple, 1, 6, rng, temp) - params.FilterStopBandRipple = mutateFloat(params.FilterStopBandRipple, 12, 90, rng, temp) + params.PerceptualSampleRate = mutateFloat(params.PerceptualSampleRate, 50, 150, rng, temp) + params.FrequencyResolution = mutateFloat(params.FrequencyResolution, 1, 15, rng, temp) + params.NSIMChannelWindow = mutateInt(params.NSIMChannelWindow, 3, 64, rng, temp) + params.NSIMStepWindow = mutateInt(params.NSIMStepWindow, 3, 64, rng, temp) result := goohrli.New(params) return result } @@ -590,7 +591,7 @@ Created at %s for _, bundle := range b { fmt.Fprintf(res, "## %s\n\n", filepath.Base(bundle.Dir)) if bundle.IsJND() { - accuracy, err := bundle.Accuracy() + accuracy, err := bundle.JNDAccuracy() if err != nil { return "", err } @@ -685,7 +686,7 @@ func (b ReferenceBundles) Leaderboard() (MSEScores, error) { } for _, bundle 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