Skip to main content

KooKoo labs

By C Chaitanya
At Ozonetel, we are constantly working on fun stuff which sometimes makes it to the final KooKoo build. In this post, I will share some example applications which we have been working on which have not yet made it to the final build.

Lately, we have been working a lot on speech and we have built the following applications.

1. Google Places over Voice

Process:Dial 040-30512839 and say things like 'hotels' in 'koramangala'  after beep and it will send SMS with hotels list. It could be anything. What I have given is an example. Of course, Google places should support data you are requesting.
Google places search code without speech can be found here.

2. Voicebuzz: We have added speech transcription to the voice buzz application.


Process: Sync up Facebook with KooKoo by visiting Voicebuzz app in Facebook at http://apps.facebook.com/voicebuzz/?ref=ts. After Sync up, dial 040-30512834 and speak your status. KooKoo will transcribe your voice input to the best of its capabilities and post the text to your wall.


3. Twittervoice: We have added speech transcription to the Twitter voice application.

Process: Sync up Twitter with KooKoo by visiting http://www.kookoo.in/twittervoice/. After Sync up, dial 040-30512845 and speak your status. KooKoo will transcribe your voice input to the best of its capabilities and post the text of the tweet.
You can find the code for twitter voice without speech here.


All the above apps are in a very pre alpha stage and may have some issues. So please bear with us.

Update: We have delayed in releasing the API, as speech is a difficult problem to solve and generally recognition rates are pretty bad, especially on a phone. So we are trying to delay till we have acceptable rates before we release the API, rather than release early and disappoint users.Even now you will find that the recognition rates are not too high but sort of acceptable.Please give us your feedback. 
Labels:

Popular posts from this blog

Cloud Telephony-History and state of the art

By C Chaitanya
Well, its been 11 years since Twilio launched their voice API in November 2008. I would say that was a major turning point in the cloud telephony industry. Before that, for people to build telephony applications, you either had to depend on proprietary platforms like Avaya dialog designer or build on arcane technologies like VXML which again was supported at varying degrees by the incumbents. Enter Twilio with their voice API and the industry changed for the better. Since it's been almost 11 years now I thought now might be a good time to do a comprehensive review of the cloud telephony industry as a whole in general and in India in particular. The Beginning Twilio was undoubtedly the startup which ushered in the era of cloud telephony. They started in November 2008. At that time in India, we at Ozonetel had launched a hosted VXML platform. There were no takers. After all who coded in VXML :) So when Twilio launched and we saw them take off, we immediately realized tha...
Read more

Google business messages and chat agents-A match made in heaven

By C Chaitanya
Google has launched Google business messages without much fanfare. It's just a small button that pops up when someone searches for your business on Google. But from the conversation industry perspective this is HUGE .   Do you know that the small call button drives millions of calls i n a year for pizza joints and other retailers in the US. Businesses spend more than a trillion dollars supporting billions of customer service calls each year. Now imagine how many chat conversations the "Message" button can drive.  Think of how customers interact with business. 1. Search on Google. 2. Click on web site link. 3. Web site shows chat pop up and tries to force the user to chat.(Annoying. I know :)) 4. User clicks on chat and starts conversing with a bot or an agent. This flow can now be completely changed. The new flow can be: 1. Search on Google. 2. User clicks on Message and starts conversing with a bot or an agent. What if you could design a customer experience that helps...
Read more

Telugu ASR speech data collection

By C Chaitanya
Image Source: IIIT-H Developing an indigenous ASR for Indian languages has been a goal for us since a long time. In that regard we have been experimenting a lot, trying out various neural network architectures.  While doing these experiments we found that there was no good dataset for Indian languages. While discussing with IIIT professors we got to know that the government of India was also exploring options to generate a good dataset. We immediately offered our help and our platform for this endeavor. So, as a starting step we have come up with a few campaigns to encourage users to donate speech data. We wanted to make it fun, so our first few campaigns are along the lines of JAMs(Just a Minute speech topics) etc. A topic will be provided and you need to speak for a minute on that topic. We have started this campaign for college students to start with. Of course anyone can participate and contribute their data. The more the merrier :) We will adding a lot more innovative ways ut...
Read more