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All Projects → espnet → Interspeech2019 Tutorial

espnet / Interspeech2019 Tutorial

INTERSPEECH 2019 Tutorial Materials

Labels

jupyter-notebooktutorialspeech-recognitiontext-to-speech

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Advanced methods for neural end-to-end speech processing – unification, integration, and implementation, INTERSPEECH2019 Tutorial (T6)

This repository provides the materials for INTERSPEECH 2019 Tutorial Advanced methods for neural end-to-end speech processing – unification, integration, and implementation.

Hands-on materials

  1. TTS demostraion
  2. ASR demostraion

Questionnaire

https://forms.gle/RhUaU5437sx5dsmAA

Slides

  1. Lecture
  2. TTS demonstration
  3. ASR demonstration

Organizers

  • Takaaki Hori (Mitsubishi Electric Research Laboratories)
  • Shinji Watanabe (Johns Hopkins University)
  • Shigeki Karita (NTT Communication Science Laboratories)
  • Tomoki Hayashi (Nagoya University / Human Dataware Lab. Co., Ltd.)
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].