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: 6 months ago
JSON representation
INTERSPEECH 2019 Tutorial Materials
- Host: GitHub
- URL: https://github.com/espnet/interspeech2019-tutorial
- Owner: espnet
- Created: 2019-07-18T14:50:07.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-03-30T03:18:10.000Z (almost 5 years ago)
- Last Synced: 2025-05-28T11:08:01.815Z (8 months ago)
- Topics: interspeech2019, speech-recognition, text-to-speech, tutorial
- Language: Jupyter Notebook
- Homepage:
- Size: 9.1 MB
- Stars: 193
- Watchers: 13
- Forks: 38
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
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.)