Score song instruments by owned roles
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Meta Vens
parent
ce317de571
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15 changed files with 522 additions and 38 deletions
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@ -218,6 +218,7 @@ static async Task SongScoreAsync(Dictionary<string, string> options)
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var candidateWav = Path.Combine(audioDir, "candidate.wav");
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var metrics = new List<SpeechScoreMetric>();
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var instrumentProfile = AnalyzeSongInstrumentProfile(script);
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var artifacts = new List<SpeechRenderArtifact>
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{
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Artifact("song-challenge", challengePath),
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@ -226,6 +227,7 @@ static async Task SongScoreAsync(Dictionary<string, string> options)
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Artifact("primitive-timeline", timelinePath)
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};
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metrics.AddRange(SongTargetMetrics(challenge, challengeEvidence));
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metrics.AddRange(SongInstrumentMetrics(instrumentProfile));
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artifacts.AddRange(SongChallengeArtifacts(challenge));
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artifacts.AddRange(challengeEvidence.Select(SongChallengeEvidenceArtifact));
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var timelineFacts = Array.Empty<PrimitiveTimelineFact>();
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@ -263,10 +265,10 @@ static async Task SongScoreAsync(Dictionary<string, string> options)
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artifacts.Add(Artifact("candidate-wav", candidateWav));
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var comparison = analyzer.Compare(referenceSamples, matched);
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metrics.AddRange(SongComparisonMetrics(comparison));
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verdict = SongVerdict(comparison);
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evaluation = SongEvaluationSentence(challenge, comparison, verdict);
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verdict = SongVerdict(comparison, instrumentProfile);
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evaluation = SongEvaluationSentence(challenge, comparison, verdict, instrumentProfile);
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var comparisonPath = Path.Combine(audioDir, "comparison.txt");
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await File.WriteAllTextAsync(comparisonPath, SongComparisonReport(challenge, candidate, comparison, verdict), Encoding.UTF8);
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await File.WriteAllTextAsync(comparisonPath, SongComparisonReport(challenge, candidate, comparison, verdict, instrumentProfile), Encoding.UTF8);
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artifacts.Add(Artifact("comparison-report", comparisonPath));
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}
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}
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@ -303,7 +305,10 @@ static async Task SongScoreAsync(Dictionary<string, string> options)
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"This is a local-only song clip challenge; reference audio is not redistributed by the repo.",
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$"The target is a randomly selected {challenge.DurationSeconds:0.###}-second scene-audio snippet, not IPA articulation truth.",
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"Challenge spectrogram, derivative, envelope, and autocorrelation artifacts are stored as typed CultMesh/CultCache evidence documents in the .cc database.",
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"Full-patch FM/AM/noise/scene modeling is allowed; primitive timeline facts remain diagnostic when present."
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"Full-patch FM/AM/noise/scene modeling is allowed; primitive timeline facts remain diagnostic when present.",
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instrumentProfile.ChipDistressRisk >= .6f
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? "Instrument profile is chip-distress-risky: simple oscillator/noise roles are not enough curriculum evidence for the music generator."
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: "Instrument profile uses at least some owned musical role evidence instead of only simple oscillator distress."
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],
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[
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new SpeechTimingReceipt(
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@ -1808,6 +1813,18 @@ static SongTrialDistillationDocument SongTrialDistillation(
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static IEnumerable<string> SceneRolesFrom(string text)
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{
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var lower = text.ToLowerInvariant();
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if (lower.Contains("syrinx", StringComparison.Ordinal) || lower.Contains("labium", StringComparison.Ordinal) || lower.Contains("beak", StringComparison.Ordinal))
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{
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yield return "syrinx voice: owns singing/creature/alien lead material through acoustic source ports, pressure/opening motion, and radiation filtering.";
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}
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if (lower.Contains("additive", StringComparison.Ordinal) || lower.Contains("spectrum", StringComparison.Ordinal) || lower.Contains("pad", StringComparison.Ordinal) || lower.Contains("harmonics", StringComparison.Ordinal))
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{
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yield return "additive/PAD texture: owns sustained harmonic beds through `layer`, `harmonics`, and `spectrum` banks with slow filter or gain motion.";
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}
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if (lower.Contains("subtractive", StringComparison.Ordinal) || lower.Contains("kick", StringComparison.Ordinal) || lower.Contains("snare", StringComparison.Ordinal))
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{
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yield return "subtractive drums: own rhythmic bodies through pitched sine/triangle envelopes plus filtered noise skins, not generic blips.";
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}
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if (lower.Contains("formant", StringComparison.Ordinal) || lower.Contains("vowel", StringComparison.Ordinal))
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{
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yield return "bright formant/vowel lead: owns pitched synthetic body and vocal-ish spectral peaks.";
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@ -1847,6 +1864,9 @@ static IEnumerable<string> TransferRulesFrom(IReadOnlyList<IpaTrialResult> selec
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}
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yield return "Use `texture` for background/recording noise and reserve raw `wave=noise` for short gated transients with narrow filters.";
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yield return "When the scene wants a singing or creature voice, start with a syrinx/acoustic voice role and modulate pressure/opening/radiation before falling back to ordinary formant oscillators.";
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yield return "When the scene wants a bed or pad, start with additive/PAD banks (`layer`, `harmonics`, `spectrum`) instead of stacked simple waves.";
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yield return "When the scene wants percussion, use subtractive drum ownership: pitched body, filtered noise skin, envelope, and pattern gate.";
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yield return "Treat repeated pressure verdicts as reusable direction, not acceptance; keep the patch family but mutate timing/register/noise shaping.";
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}
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@ -1867,10 +1887,25 @@ static IEnumerable<string> FailurePatternsFrom(IReadOnlyList<IpaTrialResult> all
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{
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yield return "Scene/noise helper voices are allowed, but only shaped role owners should transfer.";
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}
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if (allResults.Any(result => MetricValue(result, "chip_distress_risk") >= .6f))
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{
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yield return "Chip-distress-risk candidates may be useful contrast, but they should not train the music generator unless the target explicitly calls for chip/SFX vocabulary.";
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}
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if (selected.Any(result => MetricValue(result, "musical_instrument_score") < .34f))
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{
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yield return "Low instrument-role coverage is a scoring smell: require at least one owned role such as syrinx voice, subtractive drums, additive/PAD bed, or shaped texture.";
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}
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}
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static float ScoreSort(IpaTrialResult result) =>
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result.Metrics.FirstOrDefault(metric => metric.Name == "log_mel_cosine")?.Value ?? float.NegativeInfinity;
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static float ScoreSort(IpaTrialResult result)
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{
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var cosine = MetricValue(result, "log_mel_cosine");
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var instrument = MetricValue(result, "musical_instrument_score");
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var chipRisk = MetricValue(result, "chip_distress_risk");
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return cosine + instrument * .10f - chipRisk * .15f;
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}
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static string Metric(IpaTrialResult result, string name) =>
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(result.Metrics.FirstOrDefault(metric => metric.Name == name)?.Value ?? 0)
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@ -2626,8 +2661,88 @@ static IReadOnlyList<SpeechScoreMetric> SongComparisonMetrics(AudioComparison co
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new("speech_band_ratio", comparison.Articulation.SpeechBandRatio, .05f)
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];
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static string SongVerdict(AudioComparison comparison)
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static IReadOnlyList<SpeechScoreMetric> SongInstrumentMetrics(SongInstrumentProfile profile) =>
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[
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new("instrument_voice_syrinx", profile.HasSyrinxVoice ? 1 : 0, .05f),
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new("instrument_drum_subtractive", profile.HasSubtractiveDrums ? 1 : 0, .05f),
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new("instrument_pad_additive", profile.HasAdditivePad ? 1 : 0, .05f),
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new("musical_instrument_score", profile.MusicalInstrumentScore, .10f),
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new("chip_distress_risk", profile.ChipDistressRisk, .10f)
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];
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static SongInstrumentProfile AnalyzeSongInstrumentProfile(string script)
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{
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var lower = script.ToLowerInvariant();
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var voiceCount = CountOccurrences(lower, "voice");
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var hasTexture = lower.Contains("texture ", StringComparison.Ordinal) ||
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lower.Contains("noise_texture", StringComparison.Ordinal);
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var hasSyrinxVoice = lower.Contains("kind=syrinx", StringComparison.Ordinal) ||
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lower.Contains("kind = syrinx", StringComparison.Ordinal) ||
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lower.Contains("syrinx", StringComparison.Ordinal) && lower.Contains("acoustic_voice", StringComparison.Ordinal);
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var hasAdditivePad = lower.Contains("spectrum ", StringComparison.Ordinal) ||
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lower.Contains("harmonics ", StringComparison.Ordinal) ||
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lower.Contains("engine=pad", StringComparison.Ordinal) ||
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lower.Contains("engine = pad", StringComparison.Ordinal) ||
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lower.Contains("engine=add", StringComparison.Ordinal) ||
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lower.Contains("engine = add", StringComparison.Ordinal);
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var hasSubtractiveDrums = lower.Contains("role=dust", StringComparison.Ordinal) ||
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lower.Contains("dust_hat", StringComparison.Ordinal) ||
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lower.Contains("kick", StringComparison.Ordinal) ||
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lower.Contains("snare", StringComparison.Ordinal) ||
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lower.Contains("hat", StringComparison.Ordinal) ||
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(lower.Contains("pitch_ramp", StringComparison.Ordinal) &&
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(lower.Contains("wave=sine", StringComparison.Ordinal) || lower.Contains("wave=triangle", StringComparison.Ordinal)) &&
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(lower.Contains("wave=noise", StringComparison.Ordinal) || lower.Contains("noise=", StringComparison.Ordinal)) &&
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(lower.Contains("hpf=", StringComparison.Ordinal) || lower.Contains("bpf=", StringComparison.Ordinal)));
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var hasSimpleChipTone = lower.Contains("wave=square", StringComparison.Ordinal) ||
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lower.Contains("wave=sine", StringComparison.Ordinal) ||
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lower.Contains("wave=saw", StringComparison.Ordinal);
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var lacksOwnedRoles = !hasSyrinxVoice && !hasAdditivePad && !hasSubtractiveDrums && !hasTexture;
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var chipRisk = lacksOwnedRoles && hasSimpleChipTone
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? Math.Clamp(.45f + Math.Max(0, 4 - voiceCount) * .12f, 0, 1)
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: 0f;
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if (lower.Contains("laser", StringComparison.Ordinal) ||
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lower.Contains("blip", StringComparison.Ordinal) ||
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lower.Contains("sfxr", StringComparison.Ordinal))
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{
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chipRisk = Math.Max(chipRisk, .65f);
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}
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var score = 0f;
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if (hasSyrinxVoice) score += .34f;
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if (hasSubtractiveDrums) score += .33f;
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if (hasAdditivePad) score += .33f;
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if (hasTexture) score = Math.Min(1, score + .10f);
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var summary =
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$"syrinx_voice={(hasSyrinxVoice ? "yes" : "no")}; " +
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$"subtractive_drums={(hasSubtractiveDrums ? "yes" : "no")}; " +
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$"additive_pad={(hasAdditivePad ? "yes" : "no")}; " +
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$"texture={(hasTexture ? "yes" : "no")}; " +
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$"chip_distress_risk={chipRisk:0.###}";
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return new SongInstrumentProfile(hasSyrinxVoice, hasSubtractiveDrums, hasAdditivePad, hasTexture, score, chipRisk, summary);
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}
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static int CountOccurrences(string haystack, string needle)
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{
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var count = 0;
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var index = 0;
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while ((index = haystack.IndexOf(needle, index, StringComparison.Ordinal)) >= 0)
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{
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count++;
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index += needle.Length;
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}
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return count;
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}
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static string SongVerdict(AudioComparison comparison, SongInstrumentProfile profile)
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{
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if (profile.ChipDistressRisk >= .75f && comparison.LogMelCosineSimilarity < .60f)
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{
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return "weak";
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}
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if (comparison.LogMelCosineSimilarity >= .70f && comparison.Score >= .45f)
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{
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return "promising";
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@ -2648,8 +2763,8 @@ static float SongConfidence(IReadOnlyList<SpeechScoreMetric> metrics)
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return Math.Clamp((cosine + score) * .5f, 0, 1);
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}
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static string SongEvaluationSentence(SongChallenge challenge, AudioComparison comparison, string verdict) =>
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$"Song snippet `{challenge.ChallengeId}` is `{verdict}`: logMelCosine={comparison.LogMelCosineSimilarity:0.0000}, logMelDistance={comparison.LogMelDistance:0.0000}, score={comparison.Score:0.0000}, rmsRatio={comparison.RmsRatio:0.0000}, centroidRatio={comparison.CentroidRatio:0.0000}.";
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static string SongEvaluationSentence(SongChallenge challenge, AudioComparison comparison, string verdict, SongInstrumentProfile profile) =>
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$"Song snippet `{challenge.ChallengeId}` is `{verdict}`: logMelCosine={comparison.LogMelCosineSimilarity:0.0000}, logMelDistance={comparison.LogMelDistance:0.0000}, score={comparison.Score:0.0000}, rmsRatio={comparison.RmsRatio:0.0000}, centroidRatio={comparison.CentroidRatio:0.0000}. Instrument profile: {profile.Summary}.";
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static string SongAnalysisReport(SongChallenge challenge, AudioAnalysis analysis)
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{
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@ -2724,7 +2839,7 @@ static string SongChallengeReport(SongChallenge challenge) =>
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rms_envelope_autocorr_csv: `{challenge.Artifacts?.RmsEnvelopeAutocorrCsv ?? ""}`
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""";
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static string SongComparisonReport(SongChallenge challenge, IpaTrialScriptCandidate candidate, AudioComparison comparison, string verdict) =>
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static string SongComparisonReport(SongChallenge challenge, IpaTrialScriptCandidate candidate, AudioComparison comparison, string verdict, SongInstrumentProfile profile) =>
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$"""
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candidate={candidate.CandidateId}
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challenge={challenge.ChallengeId}
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@ -2738,12 +2853,18 @@ static string SongComparisonReport(SongChallenge challenge, IpaTrialScriptCandid
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zeroCrossingRatio={comparison.ZeroCrossingRatio:0.######}
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articulation={comparison.Articulation.ArticulationScore:0.######}
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speechBandRatio={comparison.Articulation.SpeechBandRatio:0.######}
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instrumentVoiceSyrinx={(profile.HasSyrinxVoice ? 1 : 0)}
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instrumentDrumSubtractive={(profile.HasSubtractiveDrums ? 1 : 0)}
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instrumentPadAdditive={(profile.HasAdditivePad ? 1 : 0)}
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musicalInstrumentScore={profile.MusicalInstrumentScore:0.######}
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chipDistressRisk={profile.ChipDistressRisk:0.######}
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instrumentSummary={profile.Summary}
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""";
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static string SongSummaryCsv(IReadOnlyList<IpaTrialResult> results)
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{
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var builder = new StringBuilder();
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builder.AppendLine("trial_id,candidate_id,reference_id,verdict,log_mel_cosine,log_mel_distance,audio_score,envelope_distance,rms_ratio,centroid_ratio,zero_crossing_ratio,articulation_score");
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builder.AppendLine("trial_id,candidate_id,reference_id,verdict,log_mel_cosine,log_mel_distance,audio_score,envelope_distance,rms_ratio,centroid_ratio,zero_crossing_ratio,articulation_score,musical_instrument_score,chip_distress_risk,instrument_voice_syrinx,instrument_drum_subtractive,instrument_pad_additive");
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foreach (var result in results)
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{
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builder.Append(Escape(result.TrialId)).Append(',');
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@ -2757,7 +2878,12 @@ static string SongSummaryCsv(IReadOnlyList<IpaTrialResult> results)
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builder.Append(Metric(result, "rms_ratio")).Append(',');
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builder.Append(Metric(result, "centroid_ratio")).Append(',');
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builder.Append(Metric(result, "zero_crossing_ratio")).Append(',');
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builder.AppendLine(Metric(result, "articulation_score"));
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builder.Append(Metric(result, "articulation_score")).Append(',');
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builder.Append(Metric(result, "musical_instrument_score")).Append(',');
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builder.Append(Metric(result, "chip_distress_risk")).Append(',');
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builder.Append(Metric(result, "instrument_voice_syrinx")).Append(',');
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builder.Append(Metric(result, "instrument_drum_subtractive")).Append(',');
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builder.AppendLine(Metric(result, "instrument_pad_additive"));
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}
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return builder.ToString();
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@ -2770,11 +2896,11 @@ static string SongEvaluatorReport(SongChallenge challenge, IReadOnlyList<IpaTria
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builder.AppendLine();
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builder.AppendLine(SongChallengeReport(challenge));
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builder.AppendLine();
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builder.AppendLine("| candidate | verdict | logMelCosine | score | envelopeDistance | rmsRatio | centroidRatio |");
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builder.AppendLine("| --- | --- | ---: | ---: | ---: | ---: | ---: |");
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builder.AppendLine("| candidate | verdict | logMelCosine | score | instrument | chipRisk | envelopeDistance | rmsRatio | centroidRatio |");
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builder.AppendLine("| --- | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: |");
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foreach (var result in results.OrderByDescending(result => MetricValue(result, "log_mel_cosine")))
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{
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builder.AppendLine(CultureInfo.InvariantCulture, $"| {result.CandidateId} | {result.Verdict} | {MetricValue(result, "log_mel_cosine"):0.######} | {MetricValue(result, "audio_score"):0.######} | {MetricValue(result, "envelope_distance"):0.######} | {MetricValue(result, "rms_ratio"):0.######} | {MetricValue(result, "centroid_ratio"):0.######} |");
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builder.AppendLine(CultureInfo.InvariantCulture, $"| {result.CandidateId} | {result.Verdict} | {MetricValue(result, "log_mel_cosine"):0.######} | {MetricValue(result, "audio_score"):0.######} | {MetricValue(result, "musical_instrument_score"):0.######} | {MetricValue(result, "chip_distress_risk"):0.######} | {MetricValue(result, "envelope_distance"):0.######} | {MetricValue(result, "rms_ratio"):0.######} | {MetricValue(result, "centroid_ratio"):0.######} |");
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}
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return builder.ToString();
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@ -2954,6 +3080,15 @@ sealed record SongChallengeFeatures(
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string SuggestedScale,
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string ScaleFrequenciesHz);
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sealed record SongInstrumentProfile(
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bool HasSyrinxVoice,
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bool HasSubtractiveDrums,
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bool HasAdditivePad,
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bool HasTexture,
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float MusicalInstrumentScore,
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float ChipDistressRisk,
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string Summary);
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sealed record SongRegister(
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float DominantHz,
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float LowHz,
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@ -372,7 +372,7 @@ $agentSeedList
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- required duration: $DurationSeconds seconds
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Goal:
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Write exactly one parseable AquaSynth `.aqua` patch for each frozen $DurationSeconds second reference clip assigned to you. This is scene-audio parity, not IPA articulation. You may use ordinary voices, FM, AM/tremolo, filters, formants, noise layers, acoustic vocal/syrinx primitives, curves, and helper voices.
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Write exactly one parseable AquaSynth `.aqua` patch for each frozen $DurationSeconds second reference clip assigned to you. This is scene-audio parity, not IPA articulation. You may use ordinary voices, FM, AM/tremolo, filters, formants, noise layers, acoustic vocal/syrinx primitives, additive/PAD layers, curves, and helper voices.
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Generalization:
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- You own two target patches, but your report must compare both targets and state what reusable scene/instrument knowledge transfers between them.
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@ -384,6 +384,13 @@ Noise and texture:
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- Use the shaped texture owner for noise roles: `texture name=dust_hat role=dust pattern=x..x step=<beat_seconds/4> gain=.08 sustain=$DurationSeconds`, `texture name=air_wash role=air gain=.035 sustain=$DurationSeconds`, `texture name=codec_bed role=codec gain=.04 sustain=$DurationSeconds`.
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- `texture` lowers to a gated noise voice with role-specific bandpass/highpass/lowpass/tremolo defaults and a control curve or pattern gate. Raw `voice wave=noise` is only acceptable for short transients with explicit gates and narrow filters.
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Instrument ownership:
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- This harness is feeding the music-generator curriculum, so do not solve the target with three naked oscillators and a prayer. The scorer now records instrument-role metrics and chip-distress risk in CultCache.
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- If the patch has a singing, creature, or alien lead role, use the syrinx/acoustic owner: `source_port kind=syrinx`, pressure/opening curves, `acoustic_network`, and `acoustic_voice`, then shape it with filters/modulation.
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- If the patch has drums or rhythmic transients, use subtractive ownership: pitched sine/triangle body, filtered noise skin, short envelope, and pattern gate.
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- If the patch has a pad, bed, drone, or harmonic wash, use additive/PAD ownership: `layer engine=add` or `engine=pad`, `harmonics`, `spectrum`, and slow modulation.
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- Ordinary simple voices are still legal as helpers, but a candidate built mostly from square/sine/saw blips with no syrinx, subtractive drum, additive/PAD, or shaped texture role will be treated as chip-distress-risk evidence.
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Rhythm and tempo:
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- The challenge report includes `tempo_bpm`, `beat_seconds`, and `tempo_confidence`, estimated from spectral/RMS onset autocorrelation.
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- The challenge report also points to `analysis_report`, `log_mel_spectrogram_csv`, `log_mel_band_stats_csv`, `rms_envelope_csv`, and `rms_envelope_autocorr_csv`; read them before writing the patch.
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@ -421,7 +428,7 @@ Evidence contract:
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- Read every assigned challenge report and $preEvidence.
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- Write $agentDir/hypotheses.md with: per-target reference features, shared cross-target invariants, cited analysis artifacts, tempo/rhythm plan, register/scale plan, scene voices, synthesis owners, invented instrument roles, expected metric movement on both targets, known risks.
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- Write exactly one `.aqua` file under each target patch output directory named `<agent-id>__<family>__<hypothesis>.aqua`.
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- Include at least three scene voices or layers in the patch, such as primary alien-voice/body, rhythmic transient/noise, and background/recording color.
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- Include at least three scene voices or layers in the patch: a primary voice/body, a rhythmic drum/transient/noise role, and a pad/bed/recording-color role. Prefer syrinx for the primary voice when it is voice-like, subtractive for the drum/transient, and additive/PAD or shaped texture for the bed.
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- Background/recording-color layers must use `texture` or an equivalently gated and band-shaped explicit voice; a static full-duration white-noise bed is failed evidence.
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- Make each patch duration/gates cover its matching $DurationSeconds second target.
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Reference in a new issue