Automatic Speech Recognition with Voice Personalization and Generalization

A voice morphing model can transform diverse voices to one or a small number of target voices. An acoustic model can be trained for high accuracy on the target voices. Speech recognition on diverse voices can be performed by morphing it to a target voice and then performing recognition on audio with the target voice. The morphing model and an acoustic model for speech recognition can be trained separately or jointly.A source of requests for speech recognition can pass audio and a voiceprint with requests. Speech recognition can run with improved accuracy by biasing an acoustic model for the voice in the audio using the voiceprint. The audio can be used to calculate a new voiceprint, which can be used to update the voiceprint included with the audio. The updated voiceprint can be sent back to the source and then used with future speech recognition requests.