https://github.com/jasminsternkopf/corpus_design_with_greedy_algorithm
Building a corpus whose unit distribution is approximately the same as a given target distribution by using a greedy algorithm with the Kullback-Leibler divergence. Can be used for Text-To-Speech synthesis application.
https://github.com/jasminsternkopf/corpus_design_with_greedy_algorithm
corpus-design greedy-algorithm kullback-leibler-divergence text-to-speech
Last synced: 8 months ago
JSON representation
Building a corpus whose unit distribution is approximately the same as a given target distribution by using a greedy algorithm with the Kullback-Leibler divergence. Can be used for Text-To-Speech synthesis application.
- Host: GitHub
- URL: https://github.com/jasminsternkopf/corpus_design_with_greedy_algorithm
- Owner: jasminsternkopf
- Created: 2021-01-30T23:07:26.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2021-04-09T19:09:59.000Z (over 4 years ago)
- Last Synced: 2025-01-31T11:47:26.791Z (10 months ago)
- Topics: corpus-design, greedy-algorithm, kullback-leibler-divergence, text-to-speech
- Language: Python
- Homepage:
- Size: 6.84 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# corpus_design_with_greedy_algorithm
This repository is based on the paper [Corpus design based on the Kullback-Leibler divergence for Text-To-Speech
synthesis application](https://www.researchgate.net/publication/221486254_Corpus_design_based_on_the_kullback-leibler_divergence_for_text-to-speech_synthesis_application) and can be used to build a corpus whose unit distribution is approximately the same as a given target distribution. This is achived by using a greedy algorithm with the Kullback-Leibler divergence.