metadata
language:
- ar
pretty_name: Arabic WebSocket TTS benchmark
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.