For decades, computer scientists have dreamed of computers that respond to human voice. But until recently speech-recognition systems could be a nightmare. New users had to recite long scripts to train the software to the peculiarities of their voices, and the software's translations could still be as mistake-prone as a first-year foreign-language student. But lately the technology has improved dramatically. Last summer Nuance Corp., the industry's big player, released a new version of Dragon that's winning raves. This year Microsoft included a voice-recognition feature in its new Vista operating system and dropped a reported $800 million to acquire a speech-software start-up called Tellme. Nuance and other companies—including Google—are working on systems that allow voice to replace the frenzied pecking on BlackBerrys and other mobile devices. "The technology has kind of snuck up on everyone," says Bill Meisel, publisher of Speech Strategy News.
PC-based voice recognition is different from the "call center" systems you encounter when calling banks or airlines. Telephone systems recognize only simple vocabularies and are designed to work with any voice. In contrast, PC-based systems adapt to a single user's speech, gaining accuracy over time. Nuance cites several reasons the software has improved lately. As more Dragon users began to have broadband connections, the company started remotely collecting data on the particular words and phrases that Dragon screwed up, allowing researchers to tweak their black-box algorithms to better target trouble spots. [click heading for more]
www.getdesign.in - My periodic blog exploring the world of business, experience design and interaction, with a smattering of gadgetry and social media. A world where business, people and technology meet.
Let's Fix Things: For over two decades I've been consulting in Communications Design: Everything from business strategy and processes, through to technology, interaction and customer experience. The thoughts here are my own, not necessarily that of my employer.
I have a penchant for spotting patterns and fixing broken user and customer experiences. Even my Bumblebee project hasn't escaped - I've been using Six Sigma techniques to study and predict their behaviour patterns. ☺