In what Vlingo CEO Dave Grannan calls a ‘good outcome’ on Twitter, the voice-to-text technology company has just been acquired by speech recognition king Nuance.
Notably, Nuance has repeatedly sued Vlingo over patent infringement – and tried to acquire them – in the past, and Grannan once referred to competing with Nuance as “having a venereal disease that’s in remission”. → Read More
Well, this is interesting. Nuance, a company that develops imaging and voice recognition technologies, is once again suing competitor Vlingo, which also develops a voice search technology and is backed by Yahoo, AT&T and Charles River Ventures.
According to the suit, which we’ve embedded below, Nuance claims Vlingo is infringing on number of Nuance’s patents including U.S. patent no. 6,487,534 B1, which relates to a “Distributed Client-Server Speech Recognition System.” By making, using, selling, offering to sell, and or importing its products and services related to speech recognition, Nuance says Vlingo is infringing on its patent. → Read More
Thanks to a partnership with Vlingo, owners of Android 2.0 or higher-equipped phones can now check in to Foursquare and update their status on Facebook and Twitter simply by speaking into their phones.
To try it out, download the free Vlingo app to your Android handset.
Using your voice, you can then update your location status on Foursquare by saying “check into Logan Airport”, locate your friends with commands like “where are my friends?” and “who’s nearby?” as well as send shout-outs to your buddies (e.g. “shout at Logan Airport waiting to board a plane to San Francisco”). → Read More
Voice search on mobile phones is increasingly becoming a viable alternative to pecking away on your tiny, touchscreen keyboard. Google has great voice search in both its iPhone and Android apps. Apple just bought Siri, which is a voice-powered personal search assistant. And then there is Vlingo, a Cambridge, Mass.-based voice search company backed by Charles River Ventures and Yahoo.
Today, Vlingo is launching a new Android app called SuperDialer. “Think of it as your infinite address book in the cloud,” says CEO Dave Gannon. It is essentially a voice-powered directory that returns local business search results instead of having to dial 411. If you say “pizza,” it will return the nearest pizza places based on your location. For each listing, you can call, see it on a map, get directions, or read reviews. → Read More
Mobile search and general Web search are two different beasts, especially when it comes to voice search, which is becoming increasingly popular. The list of the top ten mobile voice searches below by mobile voice app startup Vlingo confirms that people are much more action-oriented when they are on the go. The top search, curiously, is “YouTube,” which suggests more people than you might think are watching videos on their phones. But the next two, “Facebook” and “MySpace,” are social networks, suggesting that people want to stay connected to their friends on the go, which is what phones were originally intended to do. “Twitter” is No. 6 on the list.
Facebook and Twitter are also on Google’s list of top searches for 2009, but that list is dominated more by news, entertainment, and celebrity related searches such as “Michael Jackson,” “New Moon,” and “Lady Gaga.” The Vlingo list is dominated by more specific, action-oriented searches such as “Weather” (Is it safe to go out?), “Movie Times” (What can I see right now?), “Yellow Pages” and “White Pages” (I need to call someone right now and want to avoid 411 fees). → Read More
People really hate cell phone keypads for data entry. Anyone who’s called customer service knows voice guided phone applications aren’t new, but they’re a good way to navigate menus and enter text. And applications like Spinvox which incorporated speech recognition to turn verbal voicemails into written text messages, and TellMe, which uses voice recognition to power local search, are useful and popular. Cambridge-based Vlingo wants to make voice enabling applications easier, by using their own speech-to-text J2ME/Brew application API (Windows/Symbian later this year). With the API, developers will be able translate a user’s voice to text, and use it in their application as if typed directly into the program. One of their first examples was for local search and shopping. Vlingo voice-enabled a text box on the program you could fill out by holding down the talk button and saying a phrase, like “Pizza in San Francisco”. The system then fills in the form with what you said, letting you modify the text normally if it gets it wrong. In our trials the system generally worked with my Californian accent. However, an Australian accent had very little luck, highlighting the difficulties of internationalizing speech recognition. Often speech recognition companies make their jobs easier by limiting the vocabulary or training the system on a comprehensive lexicon of words and accents. But due to the breadth of their effort, Vlingo had to take a more general approach, using machine learning through statistical analysis so the system could work in a wider array of uses. There’s a demo below. http://services.brightcove.com/services/viewer/federated_f8/271548276Their system starts with a basic statistical language model to make the best guess about what you say. It then improves upon that by taking into account context, and positive and negative user feedback down to the individual. Context helps the system by narrowing the number of possible words you said. For instance, if the context is an address, the number of possible street names is limited to the ones in the city. User feedback correcting the system’s output or leaving it be helps the system learn how you speak (e.g correcting Austin to Boston). It’s a very ambitious project, but the team behind it comes with some significant experience in the speech recognition space. The two co-founders (Mike Phillips and John Nguyen) worked for SpeechWorks, which was acquired by ScanSoft, which then renamed itself Nuance. Nuance most recently paid $293 million for VoiceSignal, → Read More
