CALLAII® model card · Callmenta
CALLAII® by CALLMENTA

CALLAII ASR v2 technical sheet

Speech recognition · A speech recognition model that separates call recordings into speaker channels and converts them into text. Analysis, coaching, and quality scoring operate on this transcription.

CALLAII ASR v2 Previous version Released June 2026

Second version adapted to call center Turkish. The error rate on real recordings dropped to half of the first version.

What improved in this version

  • Word error rate on 10 real recordings dropped from %14.25 to %6.51
  • Character error rate dropped from %8.68 to %4.57
  • Domain prompt added for call center expressions (announcements and institution names)

Limitations and responsible use

  • Could enter a repetition loop at the end of long calls; fixed in v3
  • Output was corrupted when the language label was incorrectly assigned in Arabic recordings; fixed in v3 with automatic language detection

Training and measurements

Turkish validationword error rate %7.02, character error rate %2.15
Error rate (%) on 10 real recordings
v1 v2
0% 5% 10% 15% Word error rat… Character erro… Word error rate (WER) · v1: 14.3% 14.3% Word error rate (WER) · v2: 6.5% 6.5% Character error rate (CER) · v1: 8.7% 8.7% Character error rate (CER) · v2: 4.6% 4.6%

Lower is better. The same 10 real call recordings were fed to both versions.

Show values as a table
v1v2
Word error rate (WER)14.256.51
Character error rate (CER)8.684.57

Technical sheet

Versionv2
ReleaseJune 2026
StatusReplaced by v3

Customer data is never used to train the models. This sheet was generated on 27.09.2026. See callmenta.com for the current version. Versions and improvements