Skip to main content

Telugu ASR speech data collection

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 utilizing a lot more channels to encourage users to contribute their voice data. Keep checking.

This data will be made publicly available for free by the government to everyone once it is transcribed.

The following is a blurb from the IIIT-H website which explains the goal much better:

"

We are a land of many spoken languages. Our People have huge aspirations. We are a growing nation.
"Should language come in the way of our people's aspirations?"

As one of the national missions of Government of India. We are developing technologies specifically for Indian Languages to enable Speech
to Speech translation.

For that data quality and quantity are critical. We need high-quality language data for developing system that can understand and respond to human
speech in variety of environments and contexts.

We at IIIT-Hyderabad, have embarked on a nation wide project to collect conversational speech from open population across multiple languages
(100,000 hrs/language).

We are seeking participation from as many people across the country.

"
 

Popular posts from this blog

Integrating Arborjs with Angular to create a live calls dashboard

Arborjs  is a cool graph visualization library. Angular  is one of the best JavaScript frameworks and we have been using Angular in a lot of our front end development. When you handle millions of calls, proper visualization becomes very important. Without proper visualization, you can get lost in the mountains of data. So we spend a lot of time to come up with good visualizations to represent the data. Since we loved the cool way in which Arbor represented graph data, we could not wait to hook it up with Angular. Because of Angular's two way data binding, when you hook up Angularjs with Arbor.js you can get a dynamically updated visualization of graph data with cool animations. To give back to the community, we have put up the code online at Github . Basically we have created an Angularjs directive for Arborjs. Please feel free to fork the code and add extensions and use it for your own visualizations. The code is self explanatory with comments inline. Best way to ...

First Post

In this blog, I will be talking about my experiences in trying to build a cloud telephony platform , KooKoo . Along the way I will also be talking about different design choices I made, good programming practices and the IVR domain in general. For technoratti: NNFJW8EW86C3

Cloud Telephony-History and state of the art

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...