Aspects of the invention include acoustic signature generation via user sentiment embedding. An example method includes an audio signal of user speech, obtaining a user context and a user state space for at least one user, generating a sentiment vector from the user context and the user state space, generating a set of sentiment signals for based on the sentiment vector, and embedding the audio signal with the set of sentiment signals to generate an embedded sentiment signal.