http://translate.google.com/translate_tts?q=Hello+reader

Just replace “Hello+reader” with any text that you want spoken in your address bar.  Remember to replace spaces with pluses (+).

Some browsers however seem to have problems with the returned audio.  Chrome worked for me, though Internet Explorer is reportedly working as well.

As this is not an official RESTful Google API don’t be surprised if it stops working. Beware that commercial reuse of the output audio is likely also governed by license restrictions.

Update:
Friend Schamai pointed out how this could be employed in a web form. Here’s an example:

Or the corresponding HTML:

<form action="http://translate.google.com/translate_tts">
<input name="q" size="55" value="just saying" />
</form>


While not the only vendor to provide voice search (i.e. Yahoo oneSearch powered by Vlingo) Google certainly seems ahead in the game in what appears to be a gradual unfolding of a broad voice strategy, such as Voice Search and recently rebranding a feature-enhanced GrandCentral as Google Voice. Future work on the voice front we can expect includes promotion of its own speech recognition capacities through Android, Google Gears bringing speech capacities to all browers, tighter integration of Gaudi (audio indexing) with other services and perhaps one day opening up voice services over APIs.

As I’ve previously pointed out, to Google voice is just another form of data, but what’s slowly beginning to emerge is a central role for speech and voice technologies to play in coming developments for the web and how we search and interface with it.

Other speech and language related iPhone apps:,

• Google Mobile – voice search app
• Vlingo – speech-enables your phone
• Pocket – language learning app
• Voice Dial – speech-enabled dialer
• VoiceThis – speech-enabled dialer
• iSpeak – multi-language translator with synthesized output
• A stuttering aid (not yet available)

Has anyone used these extensively? What is your experience with speech on the iPhone?

Aside from GOOG411, during the US presidential Google released Gaudi, a voice indexing technology for video. That makes the iPhone app the third official service the company releases, making use of speech recognition, leaving one guessing when Google’s speech technology becomes available as API, like the Google AJAX Language API for translation and transliteration, rather than bundled as software services. Also, an Android version is probably in the works, one would guess.

All applications are available in US English for now.

Google GAudi allows searching for keywords/phrases in the audio-stream of selected YouTube videos. Matches are represented as yellow slots on the playback slider. Top results appear as snippets of text from the audio surrounding the search term as well as information how many minutes into the video the term occurred.

The video material chosen to showcase GAudi is material concerning this year’s US presendential elections as “part of a broader effort around politics”, but also because of the high performance with such material and the relevance to testers and users.

Indexing does not appear to be complete, as using randomly chosen text fragments from showcased videos did not always result in a match. Google does say Gaudi is using its own speech recognition engine, perhaps the same employed by GOOG411, though most FAQs about technical details and how one could use GAudi for video are directed to email inquiries.

While GAudi is showcasing campaign material, it seems only a matter of time before audio indexing will be available for serving ad content on video.

In light of the browser war raging, a little add-on for Microsoft’s Live Messenger may not stir many waters, even if it promises real-time chat translation between English and 14 other languages. However it is still refreshing to read about technology, which is geared at opening channels of communication, rather than capturing market shares.

What are Google’s plans with Chrome and Android viz. Microsoft IE on Windows Mobile? Will Microsoft leverage its non-browser language services such as translation and speech recognition like Google has been?

“Innovation usually needs time to steep. Time to turn the idea into something tangible, time to get it to market, time for people to decide they accept it. Speech recognition technology has steeped for a long time”

And concludes:

“Even a digital expert [...] cautions that some people may never be satisfied with the quality of speech recognition technology — thanks to a steady diet of fictional books, movies and television shows featuring machines that understand everything a person says, no matter how sharp the diction or how loud the ambient noise.”

But isn’t this a bit hackneyed? Perhaps by today’s standards a twenty-year steeping period seems long, but this is hardly the case anywhere else in history. And after re-watching 1982′s Blade Runner recently, I actually felt rather optimistic that we are today close to what the movie’s expectations for speech recognition and speaker verification were for 2019. Elsewhere , a similar picture emerges.
The Star Trek ship computer’s speech recognition engine (the year is 2151), while accurate, stills require the push of a button to kick in, rather than listening for the hot word “computer”, a capacity available , if not quite ripe for deployment, today.
Of course, there are the HALs (2001), Marvins (no date), C3P0s (Long long time ago…), whose capacities far exceed that, which we dare dream our mobile phones can one day understand. But here it seems the problem is less about the quality of speech technology – the quality of HAL’s speech synthesis is available today, and Marvin’s characteristic monotone baritone should be easy to do – rather than about the old hard-soft divide in Artificial Intelligence. As long as we use a hard-AI problem, which speech arguably is, to solve soft-AI problems (“find closest pizza service”) we cannot fail to be disappointed.

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!

Most interesting: Google announced Mike Cohen (of formerly Nuance) will appear as keynote speaker at SpeechTek in August to reveal Google’s speech technology strategy. Google has already moved into the speech application market with GOOG411, an automatic directory assistance application leveraging business search and Google Maps.
UBC researchers announce speech learning system that doesn’t use traditional data-driven model to learn the sounds of a language. Instead it is said to represent more experience driven learning, much like infants. So far, the system has acquired English and Japanese vowels.
Some product reviews/announcements: a quick history of desktop dictation, uses of TextAloud for the iPhone, and Nuance’s new South African voice “Tessa”.
Also on the web: NIST evaluates DARPA automatic translation software in military contexts, and What Semantic Search is Not.

I may post less frequently in coming weeks. Stay tuned.