Understanding the transformer model in Whisper
In this section, we’ll explore how the transformer model empowered a breakthrough in NLP and understand its mechanics, enabling Whisper to accurately transform spoken utterances into written phrases. We’ll walk through the specifics of its encoder-decoder structure, along with its optimizations, making it unmatched for speech processing tasks. By the end, we’ll have insight into the inner workings of this advanced model architecture, comprehending how it drives Whisper’s prowess and unlocking applications across languages.
Introducing the transformer model
As an expert in OpenAI’s Whisper, I am often asked, “What makes this ASR system so advanced?” The answer lies in its backbone: the pioneering transformer model architecture. It all started with the paper Attention Is All You Need, by Vaswani et al., published in 2017. Introducing the transformer model marked a significant paradigm...
