personal memory agent
tests/transcribe: assert wespeaker fbank front-end applies per-utt CMN
Adds the unit-test deliverable from req_repkefoe (CPO->VPE) covering the
fbank fix that shipped under req_2jjouhch / commit 810d274d. Feeds
non-zero-mean random audio through `_compute_wespeaker_features` and
asserts the returned feature matrix has zero mean per column (atol=1e-4
to absorb float32 residuals).
Vox1-O EER gate (<1.5%) was the existing functional verification of
this behavior; this test makes the CMN invariant explicit at the
unit level so any future regression of the front-end fails fast.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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tests/test_transcribe_embedder.py
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tests/test_transcribe_embedder.py
···
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from observe.transcribe.main import (
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EMBEDDER_NAME,
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_compute_wespeaker_features,
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_embed_statements,
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_get_embedder_session,
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_select_onnx_providers,
···
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assert result["embeddings"].dtype == np.float32
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assert result["statement_ids"].tolist() == [1]
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assert result["encoder"].item() == EMBEDDER_NAME
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def test_compute_wespeaker_features_applies_cmn() -> None:
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rng = np.random.default_rng(7)
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audio = (rng.normal(0.0, 0.01, 3 * 16000) + 0.05).astype(np.float32)
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feats = _compute_wespeaker_features(audio, 16000)
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assert feats.shape[0] > 0
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assert feats.shape[1] == 80
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np.testing.assert_allclose(
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feats.mean(axis=0),
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np.zeros(feats.shape[1], dtype=np.float32),
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atol=1e-4,
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)
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def test_embed_determinism() -> None: