added week1_06 materials

Author: neychev

week1_06_question_answering_and_tts/README.md

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+Question Answering (and TTS):
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/girafe-ai/ml-mipt/blob/21f_advanced/week1_06_question_answering_and_tts/practice_question_answering_and_tts.ipynb)
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+__Further readings__:
+* [en] Paper on SberQUAD: https://arxiv.org/pdf/1912.09723.pdf
+* [ru] GPT-3 for Russian language: https://habr.com/ru/company/sberbank/blog/524522/
+* [ru] Voice cloning: https://habr.com/ru/post/465941/
+* [en] Tacotron 2 demo by NVIDIA: https://pytorch.org/hub/nvidia_deeplearningexamples_tacotron2/
+* [en] Voice datasets by Mozilla: https://voice.mozilla.org/ru/datasets
+* [en/ru] DeepPavlov links on ASR and TTS: https://docs.deeppavlov.ai/en/0.9.1/features/models/nemo.html
+* [en/ru] Russian Open Speech To Text (STT/ASR) Dataset: https://github.com/snakers4/open_stt
+* [en] Mozilla DeepSpeech 0.6 release note: https://hacks.mozilla.org/2019/12/deepspeech-0-6-mozillas-speech-to-text-engine/
+* [en/ru] Open Domain Question Answering Skill on Wikipedia: http://docs.deeppavlov.ai/en/master/features/skills/odqa.html
+* [en] The Illustrated BERT [blog post](http://jalammar.github.io/illustrated-bert/)