Posts Tagged ‘Telisma’

OnMobile buys Telisma

Monday, May 19th, 2008
OnMobile Global Ltd today acquired France-based Telisma, a producer of speech recognition software for network/telephony environments.
The acquisition comes at a time after OnMobile recently partnered with Nuance, a Telisma competitor for speech recognition markets, to deploy voice search applications for its home market, India. India’s multilingual market has made it a tough one to crack for speech technology companies, though a lucrative one as India has recently surpassed the U.S. as the second largest mobile market in the world, according to Om Malik at GigaOm.
I suspect issues specific to speech technology and India’s multilingualism have something to do with this deal. As I recently pointed out, internationalization of speech and language technologies comes at a steep entry cost, due to the high demands on expertise and data required for building language-specific models. In addition, speech recognition companies like Nuance have long kept their language models under wraps. In other words, if your language isn’t catered to, reaching that language’s customer base becomes a very pricey affair.
While open-source aspirations to build freely availably language models for speech recognition exist, Telisma has opted on middle-ground in this matter by allowing partners/customers to build their own models, but selling the tools to do so at a price. In a market like India, the ability to cater to a multi-lingual customer base without purchase of expensive proprietary software (or paying someone else to develop proprietary software for you to purchase) may have made a big difference in this deal.

On a different note, this acquisition is the latest in a series of acquisitions consolidating the speech technology market. While five years ago telephony speech technology was a highly redundant market of small companies building similar products, today they have largely been acquired by or merged with bigger players. In the meantime, companies like Microsoft, IBM, Siemens and Google are making their own moves to enter the market.

Update:
Telismas acoustic modelling toolkit is indeed not for sale, but for free, as one reader has pointed out. Thanks!

GOOG: We need more data

Thursday, January 3rd, 2008

The old maxim “I need more data” should be familiar to anyone who has ever tried to wrestle with language technology issues, attempted speech application tuning or delved into any statistical approach to an AI-related problem. Google moved into the speech world last year with GOOG-411, a speech recognition driven directory assistance application (you say what you are looking for and where, it returns suitable businesses and connects you to the one you want or sends you details in an SMS).
Like all (well, most) other Google services, GOOG-411 is free for the end-user. As such, the basic business model (collect data, turn data into cash) applies. This was recently confirmed in interview by Marissa Mayer, Google’s VP of Search Products and User Experience:


Whether or not free-411 is a profitable business unto itself is yet to be seen. I myself am somewhat skeptical. The reason we really did it is because we need to build a great speech-to-text model … that we can use for all kinds of different things, including video search.

Google thus couples statistical AI and its general data-driven approach to everything in a novel way. In doing so, Google may find itself in a catch-up race with the ilk of Nuance, Loquendo IBM, or Telisma, whose stronghold on speech recognition technology comes, in part, from having aggregated speech and language databases through data collection during professional services projects.
What’s new in Google’s approach, however, is the convergence of the dual role that data plays in AI and in the overall service-driven business model. Google will presumably not be content to bootstrap a pattern matching engine to sell licenses like the technology companies above. More interestingly to follow will be the range of services Google can spin using this technology (context sensitive video advertising, audio indexing, IVR hosting) which are more befitting of their overall company strategy.
Unsurprisingly, Mayer goes on to claim that Google isn’t working on ways out of the world of brute-force data-driven algorithms:

People should be able to ask questions, and we should understand their meaning, or they should be able to talk about things at a conceptual level. … A lot of people will turn to things like the semantic Web as a possible answer to that. But what we’re seeing actually is that with a lot of data, you ultimately see things that seem intelligent even though they’re done through brute force.

User privacy advocates may also have a thought or two on this new dimension of data collection, as Google is beginning to loose the “conventionally trustworthy” image it held amongst many over the past years. Fortunately the ways in which speech data is commonly used to train pattern matching models involves very little in the ways of privacy infringement.
Happy data collecting!