Source note · Supported languages and voices for Webex AI agents
Cisco says Language Encoder works best for training data made of long utterances and Polymatch works best for short utterances.
Checked 2026-09-24
The Language Encoder model performs best for training data on long utterances, while Polymatch does the same for short utterances.
- Vendor
- Cisco
- Product
- Webex AI Agent
- Subsystem
- scripted agent NLU models
- Deployment
- multi-tenant
- Region
- not restricted
- Release range
- current as of 2026-09-24
- Checked
- 2026-09-24
Sources
- Supported languages and voices for AI agents — Cisco Systems (Webex Help Center) · tier 2 current vendor documentation · Scripted AI agent > Supported language models
Cite this note
APA
WarmTransfer. (2026, September 24). Supported languages and voices for Webex AI agents: source note webex-ai-agent-languages-voices-model-utterance-len. WarmTransfer. https://warmtransfer.net/knowledge/claims/webex-ai-agent-languages-voices-model-utterance-len
BibTeX
@misc{warmtransfer-claim-webex-ai-agent-languages-voices-model-utterance-len,
title = {Supported languages and voices for Webex AI agents: source note webex-ai-agent-languages-voices-model-utterance-len},
author = {{WarmTransfer}},
year = {2026},
url = {https://warmtransfer.net/knowledge/claims/webex-ai-agent-languages-voices-model-utterance-len},
note = {Source note webex-ai-agent-languages-voices-model-utterance-len, checked 2026-09-24}
}