Speech Recognition on Mobile Phones
Here’s one more company claiming to fix the yet unsolved problem of speech recognition on mobile phones. I’d like to see their speech-to-text solution in action or hear from someone who has tried it out. Read the complete article about Vlingo’s voice-recognition interface at Tech Review site. The key differentiators are a) that it uses Hierarchical Language Models and Adaptation techniques and b) you can train this software easily by fixing the text it gives you. And by the way, this article is available in audio as well (registration required). Here are some excerpts:
Vlingo, a startup in Cambridge, MA, is coming to market with a Âsimple user interface that provides speech recognition across mobile-phone applications. “We are not developing the core speech-recognition engine,” says cofounder Michael ÂPhillips, a former MIT research scientist and founder of SpeechWorks, which developed call-center speech interfaces. “We don’t need to do that again.” Instead, Vlingo takes speech, turns it into text, and provides a simple way to correct errors using the phone’s navigation keys, helping the system “learn.” The user’s spoken words travel over a mobile Internet connection for analysis on Vlingo’s server, sparing the phone the heavy computational work; the transcription appears less than two seconds later.
“Small platforms need speech, and search is a powerful way to find information,” says James Glass, head of the spoken-language systems group at MIT’s Computer Science and Artificial Intelligence Laboratory. “The combination of the two is very powerful,” he says, adding that Vlingo is working at that frontier.
Mazin Gilbert, executive director of naturalÂ-language processing at AT&T Labs in Florham Park, NJ, says others, including AT&T, are also developing speech interfaces for mobile phones; he thinks one problem will be “providing the right user experience in a cost-Âeffective, scalable way.”
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