Voice clone-AI

Voice clone fraud has been on the rise in India.

AI voice cloning – It is the process of creating a synthetic replica of a person’s voice through machine learning and speech synthesis technology.It is called as voice deepfakesor audio deepfakes.

Objective – To achieve a high level of naturalness that sounds exactly like a person’s voice.

Usage of Voice Deepfakes

• Voice assistants – Creation of personalized voice assistants, chatbots, video game characters, animated film avatars, custom call centre voices, and much more.
• Language translations – Meta’s SeamlessM4T, can understand nearly 100 languages from speech or text and generate translations in real-time.
• Protecting original voices – Apple introduced a voice cloning feature to help people who may be in danger of losing their voice say to a degenerative disease.
• Creating new songs – YouTube’s Dream Track partners with creators in the U.S. to allow them to create song clips featuring AI vocals with permission from pop stars.
• AI Voice Scams – Easy access to AI voice clones also spawned disinformation.
• Rallying for votes in Election – A Pakistan based political party used an AI-generated speech from the now imprisoned leader in an attempt to rally for votes virtually.
• Generating hate speech – Harry Potter actress Emma Watson voice reading out a portion of the Mein Kampf.

How are voice clones done?

• It is a complex process that involves audio data, an algorithm to train on the data, and finally fine-tuning your cloned AI voice.
• Requirement – AI model will require audio data for the machine learning process to trigger.
• Ways to share audio data – Uploading an audio file or recording voice samples in the app.

• The recorded or uploaded audio data is then analyzed by our model to extract various acoustic features, such as pitch, tone, and rhythm.
• Speech synthesis – The analysed audio is used to train a speech synthesis model, such as a neural network.
• The model is trained on this data to pick up on the nuances and acoustic features of the user’s voice.
• Speech perfection – Once the voice is cloned, the user has the option to continue refining the AI voice with various voice augmenting variables such as prosody, phoneme, and emotions.

A report by Market US has revealed that the global market for these applications stands at $1.2 billion in 2022 and is estimated to touch almost $5 billion in 2032 with a CAGR above 15-40%.

What is the scenario of AI voice clone scams in India?

• ‘The Artificial Imposter’ Report– India topped the list with the maximum number of victims.
  • 47% of surveyed Indians have either been a victim or knew someone who had fallen prey to the scam.
  • Scam in India is almost twice the global average of 25%.
• McAfee Report – 66% of Indian participants admitted that they would respond to a voice call or a phone call that appeared to be from a friend or family member in urgent need of money.
  • The most effective excuses used by the sender were that they had been robbed (70%) and involved in a car accident (69%).
  • 86% Indians were prone to sharing their voice data online or via voice notes at least once a week.

What can be done?

• Starting voice cloning challenges – Public can be asked to send in their ideas to detect, evaluate and monitor cloned devices.
• Adopting impersonation rules – It will help deter deceptive voice cloning
• Quickening regulators response – The control measures be taken at the pace at which generative AI releases are moving.
• Digitally signed videos - To verify that content can be trusted.
• AI voice clone detectors – Advancing their development and promoting its active usage.
• Cracking down social media platforms to control the spread.
• 4 dangerous signs to watch out for
  • Unexpected calls
  • Urgent requests
  • Unnatural speech patterns
  • Requests for money or personal information