Toptal

Automatic speech recognition (ASR) has been intertwined with machine learning (ML) since the early 1950s, but modern artificial intelligence (AI) techniques—such as deep learning and transformer-based architectures—have revolutionized the field. As a result, automatic speech recognition has evolved from an expensive niche technology into an accessible, near-ubiquitous service. Medical, legal, and customer service providers have relied on ASR to capture accurate records for many years. Now millions of executives, content creators, and consumers also use it to take meeting notes, generate transcripts, or control smart-home devices. In 2023, the global market for speech and automatic speech recognition technology was valued at $12.6 billion—with growth expected to reach nearly $85 billion by 2032.

In this roundtable discussion, two Toptal experts explore the impact that the rapid improvement in AI technology has had on automatic speech recognition. Alessandro Pedori is an AI developer, engineer, and consultant with full-stack experience in machine learning, natural

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