DISCRIMINATING BETWEEN DIRECT AND MACHINE GENERATED HUMAN VOICES

DISCRIMINATING BETWEEN DIRECT AND MACHINE GENERATED HUMAN VOICES

Discriminating between direct and machine-generated human voices is disclosed. A directly-generated voice audio sample from a human utterance and a machine-generated voice audio sample outputted by a loudspeaker from a pre-recording of another human utterance are captured on a microphone. Discrimina...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Elkhatib, Mouna, Uc, Eli, Mansour, Ziad, Benyassine, Adil, Vittal, Aruna
Format: Patent
Sprache:eng
Schlagworte:
ACOUSTICS
MUSICAL INSTRUMENTS
PHYSICS
SPEECH ANALYSIS OR SYNTHESIS
SPEECH OR AUDIO CODING OR DECODING
SPEECH OR VOICE PROCESSING
SPEECH RECOGNITION
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Beschreibung
Zusammenfassung:Discriminating between direct and machine-generated human voices is disclosed. A directly-generated voice audio sample from a human utterance and a machine-generated voice audio sample outputted by a loudspeaker from a pre-recording of another human utterance are captured on a microphone. Discriminative features between the directly-generated voice audio sample and the machine-generated voice audio sample are extracted with a machine learning classifier. A response to a command in the captured directly-generated voice audio sample or the captured machine-generated voice audio sample may be selectively generated.