Make song contours the active sync authority
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Meta Vens
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9 changed files with 108 additions and 88 deletions
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@ -184,13 +184,13 @@ half-second PCM segments ahead of the audio cursor. Each motif is a short phrase
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of formant-rich syllables with log-frequency contour and rhythm offsets, so the
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code is carried by both spectral shape and timing.
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The intended decoder is a compact constrained motif transform, not a generic
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time-frequency explorer and not an outlier filter around bad guesses. Mimir owns
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the emitter, so the receiver projects each mic stream against the known motif
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dictionary, produces transform frames with multiple word candidates, and maps
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the best coherent word identities directly to canonical events. A word becomes a
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canonical timeline anchor when its motif likelihood and neighboring anchors
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agree on one local sample clock. A decoded anchor
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The intended decoder is a compact constrained song-contour transform, not a
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generic time-frequency explorer and not an outlier filter around bad guesses.
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Mimir owns the emitter, so the receiver keeps its ear open for known song words
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and maps each successful call directly to canonical time. A word is not a
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single scalar event: syllable onsets, bends, formants, rhythm offsets, payload
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ornaments, speaker tint, and log-mel contour all expose local time/frequency
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constraints. One call can pin a cluster of anchors at once. A decoded anchor
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means observed sample offset `S` corresponds to emitted event time `T`. A stream
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of anchors fits the source clock directly:
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@ -201,14 +201,15 @@ observed_sample = source_offset + canonical_seconds * effective_sample_rate
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Delay and sampling-rate offset are derived by comparing the loopback clock fit
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to each mic clock fit over common canonical time. The state tracker is not
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allowed to launder invalid words into plausible timing. If a stream cannot
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produce at least one matched canonical anchor, it has not decoded timing for
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produce at least one matched canonical song word, it has not decoded timing for
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that window. Reports carry rounded integer delay, fractional delay, and the
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count/confidence of timeline-symbol anchors used to derive the report.
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count/confidence of contour anchors used to derive the report.
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The same timeline starts the frequency-response path. Each active bioacoustic
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decode carries per-band response evidence for the source set, whether or not
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each source earns a timing report. The older chirp-bin calibration model remains
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the controlled ASIO reference surface for response/confusion/delay captures:
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The same song starts the frequency-response path. Each active bioacoustic decode
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carries per-band and per-contour response evidence for the source set, whether
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or not each source earns a timing report. The older chirp-bin calibration model
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remains the controlled ASIO reference surface for response/confusion/delay
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captures:
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use `Mimir.BufferSmoke --calibrate-chirp-bin-asio-f32` to render that reference
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timeline, optionally capture it through the ASIO worker with `--capture-asio`,
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compute the response/confusion/delay model, and persist it for decoder tuning.
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@ -225,10 +226,10 @@ bioacoustic timeline queued, polls sources, and updates sync analysis on a fixed
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`MIMIR_SYNC_TELEMETRY_SECONDS` enables console telemetry for live tests. Current
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runtime testing proves Fensalir output wakes the Scarlett loopback and the mic
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buffers stay live. The next failure is physical capture proof: the same
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canonical motif anchors need to stay stable through loopback, room mics, device
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canonical song-contour anchors need to stay stable through loopback, room mics, device
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clocks, and codec/network paths.
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## Chirplet Calibration Model
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## Retained Reference Calibration
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```mermaid
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flowchart TD
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@ -237,7 +238,7 @@ flowchart TD
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B --> D["room + speakers + mics"]
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C --> E["loopback rolling buffer"]
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D --> F["mic rolling buffers"]
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E --> G["matched chirplet traces"]
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E --> G["matched reference traces"]
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F --> G
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G --> H["symbol likelihood events"]
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H --> L["timeline anchors"]
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@ -248,7 +249,7 @@ flowchart TD
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I --> K["frequency response normalization"]
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```
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The chirplet timeline owns three facts:
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The retained chirplet/chirp-bin timelines own three reference facts:
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- **Emission**: the PCM that Fensalir sends to the speakers.
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- **Timing witness**: the matched-filter atom bank used to find the stream in
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@ -256,7 +257,7 @@ The chirplet timeline owns three facts:
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- **Response witness**: the per-band atoms used to measure how strongly each
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mic hears each emitted band.
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Continuous chirplet evidence gives both the current delay and the drift/SRO by
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Continuous active song evidence should give both the current delay and the drift/SRO by
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watching delay change over time. Per-band energy over the same stream gives the
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normalization curve. The important constraint is that all three measurements
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must be tied to the same emitted timeline, not three separately invented probes.
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@ -267,21 +268,12 @@ band set but still fails pairwise timing because no canonical events overlap
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the loopback path. That is not a blank failure anymore; it is calibration data
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for the next codebook/weighting cut.
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The symbol layer is intentionally redundant. It does not rely on one fixed
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frequency shelf: timing gaps, chirp duration, start band, and glide shape all
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contribute so poor mic frequency response does not erase the whole code.
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`MimirChirpletSymbolCodebook` owns the symbol definitions so timeline ordering
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does not smuggle acoustic shape decisions into bit arithmetic. Every symbol has
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a unique chirp shape; rhythm remains additional evidence, not a substitute for
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symbol separability. The transform uses sine/cosine chirplet kernels for each
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symbol, so timing does not depend on the receiver preserving the emitter's
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absolute phase. Run `dotnet run --project .\src\Mimir.BufferSmoke\Mimir.BufferSmoke.csproj -- --chirplet-self-test`
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to render two seconds of canonical timeline audio and decode it back to
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timeline anchors. Current synthetic proof detects all 15 emitted chirps, keeps
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13 possible triplet anchors for events 0 through 12, fits the clock at
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47999.999990 Hz, and holds mean absolute anchor error to 0.000014 samples. Real
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device runs still depend on loopback capture staying live; the local Scarlett
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loopback has intermittently stopped advancing during short headless sniffs.
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The active symbol layer is now the song contour. It does not rely on one fixed
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frequency shelf or a coded sequence: syllable timing, contour bends, formants,
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payload ornaments, speaker tint, and local spectral flux all contribute so poor
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mic response does not erase the whole code. The old chirplet self-test remains
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available as historical proof of sub-frame math, but it must not retake
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authority over the active runtime path.
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The older `MimirChirpletTimeline` matcher is a diagnostic/reference artifact,
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not the active runtime path. `BuildChirpletEnergyTrace` still behaves like a
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@ -12,9 +12,10 @@ ask only "which bin fired?" It should ask:
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```text
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which motif contour did I hear?
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which self-identifying word did that contour encode?
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which self-identifying song word did that contour encode?
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which speaker vocabulary emitted it?
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what delay and clock fit make the heard words coherent?
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which time and frequency anchors did that one call expose?
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what delay and clock fit make the heard anchors coherent?
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what did this room/mic path do to the spectrum?
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```
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@ -27,10 +28,15 @@ what did this room/mic path do to the spectrum?
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- Each word contains four short syllables.
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- Each syllable carries a log-frequency glide plus formant-like partials.
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- Motif rhythm, contour, syllable duration, root, and speaker tint vary by word.
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- No de Bruijn grammar is used in the active bioacoustic path. A word identifies
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its canonical event directly inside the current operating horizon.
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- The decoder emits motif candidates, direct word anchors, a source clock fit,
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and per-band response evidence.
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- No de Bruijn grammar is used in the active bioacoustic path. One heard song
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word identifies its canonical event directly inside the current operating
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horizon.
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- The decoder emits motif candidates, direct song-word anchors, a source clock
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fit, and per-band response evidence.
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- A song word is not one scalar chirp. It is a contour packet: multiple
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syllable onsets, bends, formants, rhythm offsets, payload ornaments, and
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speaker-colored spectral features all become anchors in log-mel space. One
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successful call can pin a cluster of time/frequency constraints at once.
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- Runtime emission sends the left vocabulary to the left speaker and the right
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vocabulary to the right speaker, so microphones can learn each side of the
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room separately.
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@ -45,11 +51,11 @@ watermark target.
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`MimirBioacousticTimeline` owns:
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- motif codebook shape;
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- song-word codebook shape;
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- deterministic phrase schedule;
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- PCM rendering for active emission;
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- streaming motif scoring;
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- direct word anchor decoding;
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- direct contour-anchor decoding;
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- source clock fitting;
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- response-band evidence.
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@ -72,7 +78,7 @@ Birdsong survives ugly channels because the information is redundant:
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- formant envelope survives when one band dies;
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- speaker-specific variants expose room asymmetry;
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- repeated local structure gives the receiver more than one way to recover time
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and response.
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response, and local payload identity.
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That is the physical path Mimir needs. A phone mic, camera mic, Scarlett input,
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or network receiver should be able to recognize canonical time from a damaged
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@ -112,34 +118,34 @@ dotnet run --project .\src\Mimir.BufferSmoke\Mimir.BufferSmoke.csproj -- --rende
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## Next Cut
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The current runtime decoder still uses a motif matched-filter proof. The smoke
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harness now carries the next receiver shape: indexed MFCC/log-mel word
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fingerprints with path-degradation augmentation. The next coherent cut is to
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promote that shape into a true streaming log-mel receiver:
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The current physical receipt path uses the canary packet song as the first
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serious contour-anchor witness. The next coherent cut is to promote that shape
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into the live streaming log-mel receiver:
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```text
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audio window
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-> log-mel / constant-Q evidence surface
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-> motif/formant/contour candidates
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-> projection-hash / ANN candidate retrieval
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-> direct word identity decode over a tiny candidate set
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-> global delay and clock hypothesis
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-> contour packet proposals
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-> direct song-word identity over a tiny candidate set
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-> intra-call time/frequency anchor extraction
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-> global delay, clock, and path hypothesis
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-> path response model
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```
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Do not add a pile of threshold rules to make one room capture look good. The
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right extension is learned path weighting over motif parts: which contours,
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partials, and time gaps survive each output/mic path.
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right extension is learned path weighting over contour parts: which syllable
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onsets, bends, formants, payload ornaments, partials, and time gaps survive each
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output/mic path.
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The latest training receipt says identity can survive the current
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mel-cepstral degradation panel, but timing collapses under warped domains. That
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points the next cut at a global delay/clock/path hypothesis over detected words,
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not a larger brute-force dictionary.
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That cut has started in the harness. `--bioacoustic-train` now persists a
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global clock hypothesis per result and scores timing through its confidence
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rather than raw absolute word offset. The latest corrected receipt is
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`artifacts/bioacoustic-training/bioacoustic-20260524-150729/`; it shows compact
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indexing still wins clean throughput, baseline indexing remains steadier under
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degradation, highband indexing has real warped-path value, and anchor density
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must become its own benchmark metric.
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That cut has started in the harness. `--bioacoustic-train` persists a global
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clock hypothesis per result, and `--calibrate-contestant-asio-f32` now persists
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the first physical packet-song response model. The current Scarlett canary
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receipt clears 10x realtime and proves that a single song word can own local
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identity; the remaining work is to make each syllable/formant contour emit
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enough stable anchors that physical mic residuals collapse from tens of
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microseconds toward the one-microsecond target.
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@ -837,7 +837,10 @@ Blocks:
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Invariant:
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- A receiver with only the codebook, schedule, and its local audio buffer can
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recover canonical time once it hears a valid motif word.
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recover canonical time once it hears a valid song word.
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- The active path is not sequence-coded. A song word's log-mel contour,
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syllable timing, formants, payload ornaments, speaker tint, and spectral flux
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are the local anchor field.
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## Stage 9: Chirp-Bin Reference Timeline
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@ -846,6 +849,8 @@ Invariant:
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Owns:
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- The controlled chirp-bin calibration/reference codebook and receiver.
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- Historical sequence-coded reference machinery only. This is not the active
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packet-song receiver.
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Core state:
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@ -70,7 +70,10 @@ a named invariant that the native runtime cannot protect yet.
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a low-gain birdsong-like word language: 128 self-identifying word positions,
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left-speaker and right-speaker variants, four formant-rich syllables per word,
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rhythm variation, and direct word identity so a correctly decoded word
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identifies canonical timeline position. Runtime active sync now reports
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identifies canonical timeline position. The active receiver is no longer a
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sequence decoder: each song contour should expose multiple time/frequency
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anchors through syllable timing, bends, formants, payload ornaments, rhythm,
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speaker tint, and log-mel shape. Runtime active sync now reports
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`evidence=bioacoustic`.
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- `MimirChirpletTimeline` owns the older structured chirplet calibration stream,
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PCM segment rendering, matched timing trace, and per-band response kernels.
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@ -215,13 +218,12 @@ a named invariant that the native runtime cannot protect yet.
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other cameras.
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2. Feed those drivers into `MimirVideoCaptureDriverSource` and prove sustained
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frame cadence in the rolling buffers.
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3. Use bioacoustic motif response profiles from real microphones to tune
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contour, formant, band, gain, rhythm weighting, and left/right speaker
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separation without weakening the standalone word-identity receiver invariant.
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Keep chirp-bin calibration artifacts as reference data, not the runtime
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target. Promote the `--bioacoustic-train` receipt shape into a real
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calibration loop: detected words should feed a global delay/clock/path
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hypothesis and learned per-output/mic response, not per-case threshold rules.
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3. Promote the packet-song physical calibration receipt into the runtime
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receiver. The live decoder should keep its ear open for self-identifying
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song contours, extract intra-call time/frequency anchors from log-mel parts,
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apply learned per-output/mic path weighting, and feed a global
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delay/clock/path hypothesis. Keep chirp-bin calibration artifacts as
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reference data, not the runtime target.
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4. Add the synchronization actuator: drive a variable-rate resampler and
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fractional delay line per non-reference stream from the smoothed
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`MimirAudioSynchronizationState`. First, prove the bioacoustic motif decoder
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@ -116,9 +116,13 @@ and uses program-audio phase correlation, and `hybrid` uses passive evidence by
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default while emitting active pilot chunks only when passive confidence is weak.
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Active decoding does not inherit the passive two-second analysis floor: passive
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still needs a longer program-audio window, while the bioacoustic witness can
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decode once at least one self-identifying word is present. The bioacoustic
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detector now uses bounded motif proposals, matched motif scoring, direct word
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anchors, source clock fitting, and fractional waveform refinement.
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decode once at least one self-identifying song word is present. The active
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decoder is a song-contour anchor machine, not a de Bruijn sequence receiver:
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one call carries enough contour, syllable timing, formant, payload, rhythm, and
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speaker-tint evidence to identify canonical time inside the operating horizon
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and pin multiple time/frequency anchors at once. The bioacoustic detector now
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uses bounded motif proposals, matched motif scoring, direct word anchors,
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source clock fitting, and fractional waveform refinement.
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Pairwise sync compares matched anchors first, then only accepts independent
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clock-fit offsets inside the live latency horizon so period aliases do not
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become absurd reports. The old chirp-bin detector remains as a
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@ -89,7 +89,11 @@ Get-Content .\state\evidence.jsonl -Tail 8
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program-audio phase correlation, and `hybrid` emits active pilot chunks only
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when passive confidence is weak. The active bioacoustic path has its own
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short-window analyzer floor instead of inheriting the passive two-second gate.
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It uses energy/onset proposals, dense fallback probes, bounded motif matching,
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The active receiver is now a song-contour anchor machine, not a de Bruijn
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sequence receiver: one heard call should carry enough syllable timing,
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formant, payload, rhythm, speaker tint, and log-mel contour evidence to
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identify canonical time and pin multiple time/frequency anchors at once. It
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uses energy/onset proposals, dense fallback probes, bounded motif matching,
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direct word anchoring, clock fit, and constrained local waveform
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correlation for final fractional delay. It also supports standalone source
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offset recovery from schedule/codebook state, which is the Raven/phone shape.
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@ -141,10 +145,12 @@ Get-Content .\state\evidence.jsonl -Tail 8
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The corrected two-hour study pass ran from
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`2026-05-23T23:54:42.9041588+01:00` to at least
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`2026-05-24T01:54:56.9747630+01:00`. Use its map first, then implement:
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streaming calibration-weighted chirp-bin decoder state, calibration-session
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command/replay proof, fractional-delay/SRO actuator, then native camera payload
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handles and Fensalir contract lowering. Keep loopback as timing authority and
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keep Scarlett capture on the in-process ASIO source. Do not call synchronization
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analysis from UI/telemetry readouts. Do not restore deleted script
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infrastructure because a stale doc once missed it.
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`2026-05-24T01:54:56.9747630+01:00`. Use its map first, then implement the
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active song-contour receiver: promote packet-song physical calibration from the
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BufferSmoke receipt into runtime state, extract intra-call time/frequency
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anchors from log-mel contour parts, apply learned path weighting, drive the
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fractional-delay/SRO actuator, then continue native camera payload handles and
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Fensalir contract lowering. Keep loopback as timing authority and keep Scarlett
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capture on the in-process ASIO source. Do not call synchronization analysis
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from UI/telemetry readouts. Do not restore deleted script infrastructure
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because a stale doc once missed it.
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@ -34,7 +34,6 @@ public sealed class MimirBioacousticTimeline
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public const int WordCount = 128;
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public const int SpeakerCount = 2;
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public const int SymbolCount = WordCount * SpeakerCount;
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public const int TimelineOrder = 1;
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private const double FirstEventSeconds = 0.08;
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private const double EventSpacingSeconds = 0.16;
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{"ts": "2026-05-24T23:04:57+01:00", "type": "experiment", "status": "partial", "note": "First real-world packet razor ASIO test: rendered canary-packet-trill at 192 kHz, played through Focusrite ASIO, captured four inputs. Corrected probe needed --set-sample-rate 192000; first run stayed at 44.1 kHz. Loopback channels 2/3 correlated at +1623 samples and decoded 37/37 events with payload=1.000, timing=1.000, delay=8453.125 us. Acoustic channel 1 decoded only 1/37 and channel 0 none, so room/mic path still needs acquisition/level/channel work."}
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{"ts": "2026-05-24T23:10:02+01:00", "type": "experiment", "status": "partial", "note": "Second physical 192 kHz packet run with cardioid and co-streamer shotgun: loopback channels 2/3 still decode 37/37 payload=1.000 at offset 1623 samples. Shotgun channel 1 locks with per-channel offset 2122 samples: 37/37 payload=1.000, timing=0.828, delay=11166.397 us. Cardioid channel 0 partially decodes at offset 2519: 26/37 payload=0.595. Added polarity-invariant scoring for the streaming packet-local path because mic correlations were inverted."}
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{"ts": "2026-05-24T23:22:46+01:00", "type": "experiment", "status": "partial", "note": "Promoted canary-packet physical ASIO calibration into a persisted bioacoustic response model at calibration/bioacoustic/scarlett-canary-packet-192k-rerun.json. The command clears the hot-loop budget at 10.7x realtime across four 192 kHz channels after template caching and two-sample coarse search with sub-sample refinement. Loopback channels remain 37/37 with 2.524 us MAE. Co-streamer shotgun reaches 37/37 payload=1.000 with 58.785 us MAE and 2.940 ms acoustic delay relative to loopback. Cardioid reaches 26/37 payload=0.703 with 90.558 us MAE and 4.636 ms acoustic delay. This is exact enough to build response normalization and propagation-delay profiles, but not yet true microsecond sync for physical mics."}
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{"ts": "2026-05-24T23:35:51+01:00", "type": "decision", "status": "ok", "note": "Active bioacoustic sync is no longer sequence-coded. The live receiver should keep its ear open for self-identifying song contours; one heard call carries enough log-mel contour, syllable timing, formant, rhythm, payload, and speaker-tint evidence to pin multiple time/frequency anchors at once. De Bruijn/triplet machinery is demoted to retained chirplet/chirp-bin reference artifacts only, not runtime authority."}
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@ -15,9 +15,10 @@ objective:
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microphones, two speakers, Leap timing, Fensalir GPU rendering, Faust DSP,
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and OBS output.
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current: >
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Implement direct camera/audio capture into Mimir.Runtime buffers, starting
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with Leap stereo IR as the timing-camera candidate, then expose runtime
|
||||
health/settings/output controls through Fensalir UI.
|
||||
Promote the active bioacoustic packet-song receiver into runtime state:
|
||||
self-identifying song contours should pin multiple time/frequency anchors
|
||||
per heard call, learn per-path response, and drive the audio actuator while
|
||||
direct camera/audio capture continues feeding Mimir.Runtime buffers.
|
||||
|
||||
constraints:
|
||||
- Sender is Windows.
|
||||
|
|
@ -72,8 +73,11 @@ accepted_design:
|
|||
low-gain birdsong-like word language with 128 self-identifying word
|
||||
positions, left-speaker and right-speaker variants, four formant-rich
|
||||
syllables per word, rhythm variation, and direct word identity instead of a
|
||||
de Bruijn grammar. `MimirRuntime` emits separate panned vocabularies per
|
||||
speaker. `MimirAudioSynchronizationAnalyzer` reports active timing as
|
||||
de Bruijn grammar. The active receiver is a song-contour anchor machine:
|
||||
one heard call should expose syllable timing, contour bends, formants,
|
||||
payload ornaments, speaker tint, and log-mel evidence as a cluster of
|
||||
time/frequency anchors. `MimirRuntime` emits separate panned vocabularies
|
||||
per speaker. `MimirAudioSynchronizationAnalyzer` reports active timing as
|
||||
`evidence=bioacoustic`; the old chirp-bin path remains a
|
||||
calibration/reference artifact with ASIO tooling.
|
||||
- The diagnostic audio path can optionally carry base64 float sample payloads
|
||||
|
|
@ -320,9 +324,10 @@ current_status:
|
|||
loopback, live mic buffers stay populated, runtime sync analysis now runs as
|
||||
a bounded rotating service without UI/telemetry re-entry, and the bioacoustic
|
||||
motif timeline produces deterministic synthetic active sync. The next
|
||||
invariant is self-identifying motif words producing stable canonical anchors
|
||||
and clock fits through real loopback and microphones, so the actuator can use
|
||||
decoded time instead of filtered lag guesses. Replace the remaining
|
||||
invariant is self-identifying song contours producing stable intra-call
|
||||
time/frequency anchors and clock fits through real loopback and microphones,
|
||||
so the actuator can use decoded time instead of filtered lag guesses.
|
||||
Replace the remaining
|
||||
diagnostic JSON-line process bridges with direct native capture drivers that
|
||||
push buffer handles into Mimir.Runtime. Mimir.BufferSmoke still proves live buffers and sync reports
|
||||
for Scarlett loopback, Focusrite mic, Kiyo mic, and Kiyo Pro mic when
|
||||
|
|
|
|||
Loading…
Reference in a new issue