https://github.com/espnet/interspeech2019-tutorial

INTERSPEECH 2019 Tutorial Materials
https://github.com/espnet/interspeech2019-tutorial

interspeech2019 speech-recognition text-to-speech tutorial

Last synced: 3 months ago
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INTERSPEECH 2019 Tutorial Materials

• Host: GitHub
• URL: https://github.com/espnet/interspeech2019-tutorial
• Owner: espnet
• Created: 2019-07-18T14:50:07.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-03-30T03:18:10.000Z (over 3 years ago)
• Last Synced: 2024-04-13T11:47:06.130Z (7 months ago)
• Topics: interspeech2019, speech-recognition, text-to-speech, tutorial
• Language: Jupyter Notebook
• Homepage:
• Size: 9.1 MB
• Stars: 192
• Watchers: 14
• Forks: 39
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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](https://www.interspeech2019.org/program/tutorials/).

## Hands-on materials

1. TTS demostraion 

2. ASR demostraion 

## Questionnaire

https://forms.gle/RhUaU5437sx5dsmAA

## Slides

1. [Lecture](https://drive.google.com/open?id=1YRwQ9S2PmRCp5WBcNufAhcqIKtmREkfn)

2. [TTS demonstration](https://nbviewer.jupyter.org/format/slides/github/espnet/interspeech2019-tutorial/blob/master/notebooks/interspeech2019_tts/interspeech2019_tts.ipynb)

3. [ASR demonstration](https://nbviewer.jupyter.org/format/slides/github/espnet/interspeech2019-tutorial/blob/master/notebooks/interspeech2019_asr/interspeech2019_asr.ipynb)

## 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.)