Voice cloning through Artificial Intelligence
Context:
- According to a recent report “The Artificial Imposter” nearly 47% of surveyed Indians have either been a victim or knew someone who had fallen prey to an AI generated voice scam.
Voice cloning and the process:
- Voice cloning is a process which uses AI and machine learning algorithms to create a digital clone of a human voice.
- By using generative adversarial networks (GANs), these models can refine their output by constantly challenging themselves to create more authentic imitations while being critiqued by a discriminator.
- The result is such that voice that can closely mimic the cadence, intonation, and even emotional nuances of the targeted speaker.
Working mechanism:
1. Data Collection and Preprocessing:
- The working mechanism begin with the meticulous process of data collection and preprocessing.
- To clone voices effectively and efficiently an extensive dataset of voice samples is crucial.
- This stage include recording individuals speaking through various means such as web recorder or microphone.
2. Role of Neural Networks:
- The main player in the AI voice cloning is the pivotal role played by neural networks.
- These advanced artificial intelligence frameworks go deep into the realm of voice samples collected from diverse sources, recordings via web recorder audio.
- These networks scrutinize the raw audio data tries to extract intricate patterns and nuances that make up the unique timbre and inflections of a person’s voice.
3. Generative Adversarial Networks (GANs):
- At the centre of the AI voice cloning process lies the remarkable power of Generative Adversarial Networks (GANs) which is a dynamic framework that propels the technology’s capability to clone voices to new heights.