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DTW diagnostic: strict UTF-8 failure

Status: internal CPU diagnosis, 2026-10-13. No accepted speech/retrieval score, production ASR integration or new media rating follows from this evidence. Google EmbeddingGemma 2 remains the production semantic model.

The original fifteen-window DTW experiment stopped on strict UTF-8 parsing. Its temporary raw output was cleaned, so that first run's exact bytes could not be inspected. Its partial report remains unchanged. A separate coordinator- authorized diagnostic reproduced exactly the second music01 window: source offset 30000 ms, duration 30000 ms, primary audio stream, 480000 decoded samples. No labels selected text/timestamps, and the whole experiment was not rerun.

Revalidated execution

The whisper.cpp checkout was clean at pinned commit d1be6fde11ac6e0407606b4e42fe72d34add8037. Before execution, the fixture and source hashes, base model size/hash, worker hash and both decoder hashes were checked against frozen evidence. The owned runner retained raw output, WAV, probe, stderr and report directly under ignored .searchi/speech/dtw-window-diagnostic-v1; no temporary cleanup removed them.

Artifact SHA-256
Frozen fixture b4e465a0eb9582b826eebd2a20797e1680e4907e336d02d0ef2194e2ba0af393
Source music01 29fcd20414ee19c2a5aa4339eaf6375079dc87959051ab0aea32c76df52f34dc
CPU worker 12c681b4bcd9c7679b647b9a041e121a2f9e72cb2a9c6f189f529ec8b79c36f8
Multilingual base model 60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe
FFmpeg b778ca5786ee4b0b4f37f34478617093d2fdb9a532d281fb76cda69d1d579d46
FFprobe 4e1b0afd27bf02d79739f27b2d650137470925afb19d54b5e89a708b7a389236
Raw JSON, 29148 bytes f1de2c295b0c9a223619abe6dbf34823be6a6aa3dbcad69fea1d6121fa0c200e
Native log 28d174198a3ef980aa5c8c1237618f450a19b0a80c8a270209dce113a8de3a7a
Diagnostic report b4b0dedfac6365c59793806801b1fc5d9f8f203891b623fb86ad508352ad0114

Windows VM execution forced CPU: SEARCHI_FORCE_CPU=1, native flags --no-gpu --threads 1 --processors 1 --language auto --output-json-full --dtw base --no-flash-attn, verified base model and the decoded owned WAV. The existing bounded decoder used absolute 30-second seeking and sample trimming; its output contained exactly 480000 samples. Native ASR exited zero after 42493.25 ms; decoding took 271.42 ms. The owned diagnostic runner exited zero after recording strict_parse: rejected. This is not a successful ASR result or a warmed throughput measurement. No other model inference ran concurrently under this coordinator's CPU slot; unrelated VM load was not instrumented.

Exact failure and pinned native source

Strict UTF-8 decoding rejects bytes 1137–1138 (zero-based half-open range 1137–1139). The segment text ends with bytes E2 80 immediately before the closing JSON quote: a three-byte UTF-8 sequence has no final continuation byte. The last ordinary token, id 913, also ends with exactly E2 80 at byte 28900. Earlier token text contains complete E2 80 8D codepoints. Raw bytes were inspected directly, without replacement decoding or writing repaired JSON.

The pinned native core constructs segment text by concatenating token strings. The CLI full-JSON serializer merges adjacent token byte pieces while a codepoint needs continuation and another token exists. At the last token there is no continuation to merge; it writes the remaining incomplete bytes. Its segment text serializer likewise writes the already incomplete segment bytes. The escaping function only escapes quotes/backslashes; it cannot restore a missing codepoint byte. Thus this is incomplete recognized byte output, reproduced in both segment and token text, rather than a Python ANSI conversion or DTW time unit error. The exact internal reason the decoder terminated this token sequence has not been instrumented and remains unproven.

Relevant pinned source: CLI serializer and token merging, UTF-8 continuation helper, and segment construction.

Minimal next change and limits

Before changing a native worker, add a strict UTF-8 validator at its JSON boundary for original segment strings and merged token strings. If original recognized bytes remain invalid after adjacent-token merging, return an explicit typed recognition-output error with bounded raw evidence; never replace characters, truncate text, synthesize missing bytes or fabricate timestamps. Test a valid split codepoint and an incomplete final codepoint. This makes the failure machine-readable; it does not repair recognition or establish improved retrieval. An alternative timestamp/recognition policy must be declared and evaluated separately before any default changes.

The Python harness already fails closed, retains bounded raw bytes with SHA and parse positions, and atomically records an incomplete, ineligible checkpoint. The original partial DTW report contains three NASA windows with 21 valid point-based sentence spans and one separately retained ordinary-interval error. It lacks remaining piano windows and three other competitors. Neither that partial report nor this one-window diagnosis can receive an accepted quality score. Packaging, independent bilingual speech, silence/music hallucination, resource peaks and actual production hybrid integration remain open.