The file comment named four regressions caught here. Three were not.
Nothing on this path resamples, because PCMFromWAV refuses anything that
is not already 16 kHz mono s16. Nothing exercises language selection,
because the hint comes out of the manifest already correct. And a bad
model path was the one condition that made the whole test vanish behind
a skip nobody reads. The comment now claims the two things that are
real, an explicitly set MAVEN_WHISPER_MODEL that does not exist is a
failure, and a missing fixture is a failure rather than a skip.
looseWordMatch accepted a different word. Four retained runes of "воды"
is "вод", so whisper hearing "выпил водки" satisfied the ru_fact
keyword, and "dis" let display, distance and discuss all stand in for
"disk". A case ending adds a rune, not a syllable, so the hypothesis is
capped in length as well as matched on prefix.
The spoken text lived in the generator and in the manifest with nothing
tying them together. Editing one left the other describing audio that no
longer existed, and at a flat ceiling of 0.34 over a five-word reference
a one-word drift passed silently. The script reads text out of the
manifest now, and the ceilings are set just above what each case really
measures against ggml-small, with the measurement recorded beside them.
Also: the test carried its own copy of the PCM to float32 conversion, so
a regression in the daemon's copy left the silence-gate assertion green,
and the manifest was validated for keywords but not for text, where an
empty reference makes every hypothesis score a WER of 1.
Found in review of #75.
Four committed WAV fixtures go through the real whisper.cpp binding in
cmd/mavsttd, so a wrong model, a wrong language hint, a broken resample
or a regressed silence gate fails `make test` instead of surfacing as
Maven mishearing him.
The fixtures are piper-synthesised, not recorded: scripts/gen-stt-fixtures.sh
drives the vendored piper with the ru_RU-irina voice Maven already speaks
with, so nothing of the owner's voice is committed and every fixture is
reproducible. 360K total for three Russian clips and one English.
Matching is tolerant on purpose. Golden transcripts move with the model,
so each case asserts intent-carrying keywords (prefix match, so Russian
inflection does not fail it) plus a word error rate ceiling, not an exact
string. The matcher is unit-tested on its own and needs no model.
TestGoldenAudioTranscription skips when models/stt/ggml-small.bin is
absent, so `make test` still passes on a box without models.
TestGoldenFixturesAreCanonical runs everywhere and checks the WAVs are
16k mono s16le and would clear mavsttd's own silence gate.
kami