Who is listening?
A person is listening
You need a Human ↔ Human model. Voice quality and naturalness matter.
A machine is listening
You need a Human ↔ Machine model. Relative Word Error Rate (RWERR) reduction and ASR accuracy matter.
Human ↔ Human
Human ↔ Machine
Still Not Sure?
Explore audio samples, full specifications, use cases, and code examples:Speech Enhancement · Voice Isolation (General)
VI_G_SEIsolates intended speech by removing background noise and voices. Optimized for human listeners.Speech Enhancement · Standard
SE2.1Restores and enhances voice quality for telephony audio. Low CPU footprint.Speech Enhancement · Full Fidelity
SE2.2Full-fidelity speech enhancement with bandwidth extension to ultra-fidelity 24kHz.Agentic Speech Enhancement · Voice Isolation (General)
AGENTIC_VI_G_SERemoves background noise and distant voices for complete voice isolation of the primary speaker’s audio stream.Agentic Speech Enhancement · Voice Isolation (Telephony)
AGENTIC_VI_GT_SETelephony-optimized variant of Voice Isolation for 8kHz narrowband audio.Agentic Speech Enhancement · Standard
AGENTIC_ST_SERemoves background noise while preserving all human speech for multi-speaker environments.Accent Translation
AT5.2Accent Translation modifies global accents in real-time, allowing your teams to be instantly understood while preserving what makes every voice unique.Language Translation
LTReal-time language translation that preserves your speakers’ voices, tone, and intent.