Update README.md

README.md

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 DRAL is a bilingual speech corpus of parallel utterances, using recorded conversations and fragments re-enacted in a different language. It is intended as a resource for research, especially for training and evaluating speech-to-speech translation models and systems. We dedicate this corpus to the public domain; there is no copyright (CC 0).
 
+DRAL is described in a new technical report: [Dialogs Re-enacted Across Languages, Version 2](https://arxiv.org/abs/2211.11584), Nigel G. Ward, Jonathan E. Avila, Emilia Rivas, Divette Marco.
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+Some initial analyses of this data are described in our [Interspeech 2023 paper](https://arxiv.org/abs/2307.04123).
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+The releases include 2893 short matched Spanish-English pairs (> 2 hours) taken from 104 conversations with 70 unique participants. There are also some illustrative, lower-quality, pairs in Bengali-English, Japanese-English, and French-English. All are packaged together with the full original conversations and full re-enactment recording sessions.
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+## Links
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 - [DRAL home page](https://www.cs.utep.edu/nigel/dral/)
 - [DRAL GitHub repo](https://github.com/joneavila/DRAL)
-- [DRAL technical report](https://arxiv.org/abs/2211.11584)
+- [DRAL technical report](https://arxiv.org/abs/2211.11584)
+- [Interspeech 2023 paper](https://arxiv.org/abs/2307.04123)