What are X-vectors?
X-vectors are deep neural network embeddings that represent a speaker's voice as a compact vector. They're widely used for speaker verification, speaker recognition, and diarization.
What is an example of X-vectors?
A voice authentication system extracts an x-vector from a caller's voice during enrollment, stores it, and later compares new x-vectors from subsequent calls to verify identity.
How does ai-coustics use X-vectors?
We don't generate x-vectors ourselves, but we make the systems that do more reliable. Our Quail family removes noise and reverb that distort speaker embeddings, and Quail Voice Focus isolates the primary speaker, helping downstream speaker recognition, verification, and diarization tools produce cleaner and more consistent embeddings.
Next term:
