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Arabic WebSocket TTS benchmark

A WebSocket load test for streaming TTS servers, and its results for voxcpm2-arabic-dialects-turbo.

file
text.txt 3,592 Arabic sentences (mostly Egyptian), one per line; each request gets its own
bench_voxcpm2_texts (1).py the benchmark: TTFB, total time, RTF, gap max, stalls per level of requests at once
bench_voxcpm2_texts_underruns.py the same, plus underruns: a player starting at the first chunk runs dry > 50 ms
results/ runs of the scripts above, with a check against the server's own timestamps
python bench_voxcpm2_texts_underruns.py --levels 1,10,40,80,100,150 --dialect egyptian --texts-file text.txt

Results: voxcpm2-arabic-dialects-turbo, one A10 (2026-10-20)

python -m nanovllm_voxcpm.entrypoints.ws_server with its defaults; both scripts unchanged, three runs, the range over the runs (results/2026-10-20-a10):

requests at once TTFA p99 TTFB p95 TTFB max stalls underruns
1 24-29 ms 178-185 ms 178-185 ms 0 0
10 29-36 ms 187-195 ms 187-196 ms 0 0
40 58-70 ms 219-239 ms 219-245 ms 0 0
80 69-73 ms 241-256 ms 241-256 ms 0 0
100 76-81 ms 257-270 ms 257-270 ms 0 0
150 94-148 ms 275-330 ms 288-330 ms 0 0
  • TTFB: the scripts' first chunk (4096 bytes, 128 ms of audio) at the client. The server holds the first chunk 150 ms (--pace-start-ms 150, its default): the time the engine needs for no stalls.
  • TTFA: the engine's first audio after the text reached the server, from the server's timestamps.
  • Check (verify.py, verify.md): the stalls recomputed from the server's send times equal the scripts' (0 / 0 at every level), and the client's TTFB percentiles are the server's plus 0-22 ms (the WebSocket hops).
  • 150 at once is the limit of one A10: at 200 at once, 24-84 stalls per run (no underruns).
  • No audio here: the generated speech clones a real speaker's voice.
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