The Race to Build a Voice Clone Army

The Voice of AI: ​Harnessing Voice #Meta Data​ for GenAI Solutions​
Rick RADIA, Head of Product, MyVoice AI
Tom BARKER, Senior Machine Learning Engineer, MyVoice AI

The human voice continues to be at the forefront of communications and leading the way now with #GenAI and conversational AI inputs, especially for the training of Large Language #Models, and increasingly Small Language Models. The human voice carries a rich complement of biometric, unclonable identity, emotive states, age and other human attributes. Foundational and GenAI models are leveraging this aspect of humanity, and increasingly being used in #GenAI cases.

During this session, we delve into the process of extracting metadata from one’s voice and leveraging it to enhance user experiences, all on-device through the advancement of tinyML technology. We will discuss various techniques for compressing large models to accommodate resource-constrained devices, enabling efficient inference at the edge. By employing methodologies such as structured pruning and quantization, we will showcase substantial neural network size reduction – scaling down from trillions (as exploited by the new #Blackwell processor) to hundreds of thousands of parameters – all while maintaining optimal model performance.

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