What fidelity level and primary technique characterized voice cloning technology Post-2015?
Answer
High fidelity (Near-human, expressive) achieved via Neural TTS / Deep Learning
The technological timeline shows a clear progression in quality corresponding with the underlying methods used. For the period categorized as Post-2015, the primary technique shifted entirely to Neural TTS, which relies on Deep Learning architectures. This integration led directly to a fidelity level described as High, meaning the resulting audio is capable of being near-human and expressive. This marks the era where the output quality became nearly indistinguishable from reality, a massive leap from the low, robotic quality of the pre-2000s concatenative methods.

Related Questions
What characterized the primary technique in Pre-2000s voice synthesis aiming for synthetic speech?What characteristic did Parametric Speech Synthesis use to generate speech output?What specific deep learning architectures are mentioned as integral to the AI Leap in modern voice cloning?What is identified as the most crucial practical invention in voice cloning for accessibility?What fidelity level and primary technique characterized voice cloning technology Post-2015?What specific development transitioned voice cloning from an academic pursuit to a public utility?What ethical dilemma is highlighted by the hidden technical complexity behind accessible voice cloning tools?In the context of malicious misuse, what risk increases exponentially due to the simplicity of modern voice cloning tools?What historical development is implied by tracing the roots of voice cloning through several distinct technological eras?Where is accountability dispersed concerning the societal challenges created by voice cloning democratization?