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Release Kahya-TTS-v1.0 with evaluated inference recipe and model card
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Evaluation metrics

These figures are a frozen, source-derived comparison of the merged step1500 checkpoint using reference r2, seed 42, cfg=2.0, and 16 timesteps. The two development cases contain 151 and 149 words.

Case Method Audio duration Measured time Ratio / RTF First chunk Peak allocated / reserved
library (151 words) whole call 59.04 s 21.778395 s RTF 0.368875 0.582673 s 5638.327 / 5978.0 MiB
library (151 words) sentence reset, 12 calls 68.16 s (sum) 24.521308 s (sum) 0.359761 aggregate 0.062772 s 5750.052 / 6114.0 MiB
platform (149 words) whole call 59.36 s 21.451940 s RTF 0.361387 0.067999 s 5749.552 / 6114.0 MiB
platform (149 words) sentence reset, 13 calls 66.72 s (sum) 24.042400 s (sum) 0.360348 aggregate 0.067221 s 5750.052 / 6114.0 MiB

For sentence reset, the aggregate ratio is sum(elapsed_s) / sum(duration_s) over calls. It excludes file I/O, model loading, inter-call gaps, and assembly, so it is not end-to-end service latency. Whole-call values use the recorded row RTF. The library whole-call row was the first model call in the process; the remaining rows were warm. First-chunk figures exclude model load and should not be read as a matched warmup-latency comparison.

ASR word-error counts were 1/151 (whole) and 0/151 (reset) for the library case; both methods were 2/149 for the platform case. A single user's two trials rated reset naturalness/similarity 5/5 and 4/5 versus whole-call 1/1 in both cases, preferring reset in both. The second reset artifact field was unanswered ([]); it is not treated as evidence of no artifact. These are one-user ratings, not a MOS or universal checkpoint claim.

The exact manually authored sentences are in ../examples/library.sentences.txt and ../examples/platform.sentences.txt. Model, source, protocol, reference, and scorer hashes are recorded in metrics.json. No reference WAV or private participant identifier is included.