Just like how readers gauge a movie based on its book when we hear stories, our minds naturally create vivid pictures of characters and scenarios. To get more people using Siri, Apple needed a better dataset for American English. To improve Siri’s voice recognition, Apple collected a huge set of “Hey Siri” recordings from English speakers across the US.
We made a serious effort to collect an extensive variety of audio clips in US English, with a special focus on different accents and real-life situations. To get the most out of our machine learning tools, we concentrated on how people naturally say the wake word, which helped us build up a pretty solid dataset.
We adhere to stringent quality assurance protocols. Every clip we marked up passed through several checkpoints, getting scrutinized by both smart software and seasoned human pros. We double-checked each clip using both automated tools and expert reviewers to make sure our datasets were as accurate and reliable as possible.
This project exemplifies our ability to gather and annotate large-scale, diverse datasets, crucial for the development of advanced AI technologies. Our commitment to quality and precision positions us as a trusted partner for AI data needs.
To get a detailed estimation of requirements please reach us.
