Tech Blog
How we size voice agents for enterprise traffic
The load testing tool we built, what the measurements showed, a scheduling bug that took us too long to find, and the Erlang model we now use for sizing.
Latest
- Paper
Quieter on silence, better on speech: reducing Whisper hallucination
Our technical report fine-tunes whisper-large-v3 on the phrases it invents, spoken for real. On real audio with no speech in it, the share of clips where it writes words falls from 99.9% to 47.8%, while recovery of genuinely spoken phrases rises from 69.8% to 82.7%.
Press releases
Scicom Joins Maxis Business Industry Panel on Redefining Customer Experience with AI
Scicom's Senior Vice President of AI Enterprise Solutions joined a panel of industry leaders on how artificial intelligence and data are reshaping enterprise customer experience across Malaysia.
- Enterprise
2 min read
Papers
arXiv 2609.32560
Quieter on silence, better on speech: reducing Whisper hallucination
Our technical report fine-tunes whisper-large-v3 on the phrases it invents, spoken for real. On real audio with no speech in it, the share of clips where it writes words falls from 99.9% to 47.8%, while recovery of genuinely spoken phrases rises from 69.8% to 82.7%.
Husein Zolkepli
- hallucination phrases in 100 languages
- 40,891
- fine-tunes, in 33 matched pairs
- 66
47.8%
Real voice-free clips where the best fine-tune emits words, down from 99.9% for whisper-large-v3
Wild test split, 4,421 clips with no speech by Silero VADMeasured Source(opens in a new tab)
82.7%
Genuinely spoken hallucination phrases the best fine-tune recovers, up from 69.8% for whisper-large-v3
lexicon_synth test split, 6,267 clips in 83 languagesMeasured Source(opens in a new tab)
arXiv 2601.20185
Half the tokens, clearer audio: improving X-Codec-2.0
Our paper on arXiv changes two settings in the open X-Codec-2.0 speech codec. It now uses 25 tokens a second instead of 50, outputs 24 kHz audio instead of 16 kHz, and scores higher on predicted naturalness across 116 languages.
Husein Zolkepli
- tokens per second
- 25
- output sampling rate
- 24 kHz
+0.29
Predicted naturalness gain over X-Codec-2.0, at half the token rate
Common Voice 17 test set, 116 languagesMeasured Source(opens in a new tab)
Research
Semantic VAD cuts wrongly cut-off turns to 20.0%
False cutoff rate across ten end-of-turn systems at two latency budgets, measured over 300 real call turns on Malaysian telephony. The lowest of any system we tested, at both.
1 min read
CallEnhancer, and the enterprise speech stack we are building on it
Our open source speech enhancement model cuts character error rate on a private call centre set from 71.48% to 19.01%. Here is what we are building on top of it.
1 min read
WideCodec matches NVIDIA NeMo-44k on naturalness at a tenth of the bitrate
A single codebook at 50 tokens per second, scored against four other 44 kHz-class codecs on a 9,291-clip multilingual wideband set.
1 min read
Platform
SlurmUI: a web control centre for your SLURM cluster
Cluster configuration, node bootstrapping, a browser terminal, job insights and proxy exposure, without the terminal windows and SSH configs.
1 min read
Tech Blog
How we size voice agents for enterprise traffic
The load testing tool we built, what the measurements showed, a scheduling bug that took us too long to find, and the Erlang model we now use for sizing.
15 min read