test: lock speechbrain lengths and identity camera filter

Filter --cameras 1,5 by cam-NN identity instead of discovery index.

tests/test_audio_cleanup.py

@@ -0,0 +1,30 @@
+import inspect
+
+import numpy as np
+import pytest
+
+from audio_cleanup import AudioCleaner
+
+
+def test_enhance_batch_without_lengths_typeerror():
+    c = AudioCleaner(mode="force")
+    assert c.backend == "model"
+    import torch
+
+    w = torch.zeros(1, 8000)
+    with pytest.raises(TypeError):
+        c._enhancer.enhance_batch(w)
+
+
+def test_process_uses_relative_lengths_one():
+    src = inspect.getsource(AudioCleaner.process)
+    assert "tensor([1.0])" in src
+
+
+def test_process_preserves_length_and_int16():
+    c = AudioCleaner(mode="force")
+    n = 16000
+    pcm = (np.sin(2 * np.pi * 440 * np.arange(n) / 16000) * 8000).astype(np.int16)
+    out = c.process(pcm)
+    assert out.dtype == np.int16
+    assert out.shape == pcm.shape