2 matches found
Exploiting Context-Dependent Duration Features for Voice Anonymization Attack Systems
The temporal dynamics of speech, encompassing variations in rhythm, intonation, and speaking rate, contain important and unique information about speaker identity. This paper proposes a new method for representing speaker characteristics by extracting context-dependent duration embeddings from...
AI Emotion-Detection Arms Race
Voice systems are increasingly using AI techniques to determine emotion. A new paper describes an AI-based countermeasure to mask emotion in spoken words. Their method for masking emotion involves collecting speech, analyzing it, and extracting emotional features from the raw signal. Next, an AI...