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Here the term Resources refers to a set of speech or language data and descriptions in machine readable form, for the purpose of building, improving or evaluating natural language and speech algorithms or systems.
Dataset Description 28:10:07 Hours | 18 GB speech data | 150 Speakers | 16,380 Audio segments | 48 kHz | 16 bit wa..
Dataset Description 64:44:02 Hours | 7.1 GB | 233 Speakers| 26,223 Audio Segments | 16 kHz | 16 bit wav. Gujarati is one of ..
Dataset Description57:17:08 Hours | 37 GB | 204 Speakers| 25,712 Audio Segments | 48 kHz | 16 bit wav. Gujarati is one of the ma..
Dataset Description 17:10:26 Hours | 11 GB speech data | 61 Speakers | 12,036 Audio segments | 48 kHz | 16..
Dataset Description 54:21:12 Hours | 32.5 GB | 304 Speakers | 37,570 Audio Segments | 48 kHz | 16 bit wav.&n..
The data set comprises of Tamil read and conversational speech data along with the corresponding transcriptions. This speech data was collected by Spe..
Available Under License: Research
The data set comprises of Indian English read speech and lecture speech data along with the corresponding transcriptions. The read speech covers genre..
English-Urdu Parallel Tourism Text corpus is developed in Unicode under English to Indian Language Machine Translation (EILMT) consortium. The core vo..
Available Under License: Commercial Research
English-Urdu Parallel Health Text corpus is developed in Unicode, under English to Indian Language Machine Translation (EILMT) Consortium. This corpus..
English-Urdu Parallel Agriculture Text corpus is developed in Unicode, under English to Indian Language Machine Translation (EILMT) Consortium. This c..
English-Tamil Parallel Tourism Text corpus is developed in Unicode under English to Indian Language Machine Translation (EILMT) consortium. The core v..
English-Tamil Parallel Health Text corpus is developed in Unicode under English to Indian Language Machine Translation (EILMT) Consortium. This corpus..
English-Tamil Parallel Agriculture Text corpus is developed in Unicode, under English to Indian Language Machine Translation (EILMT) Consortium. This ..
English-Odia Parallel Tourism Text corpus is developed in Unicode, under English to Indian Language Machine Translation (EILMT) consortium. The core v..