Kyubyong/dc_tts
A TensorFlow Implementation of DC-TTS: yet another text-to-speech model observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3206
- days_rel: n/a
- days_push: 1237
- n_releases_24m: 0
Adoption not part of the score
1156 stars · 360 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A TensorFlow implementation of DC-TTS, a text-to-speech model based on deep convolutional networks with guided attention. It includes training pipelines for Text2Mel and SSRN components and was trained on English and Korean speech datasets.
Use cases
- synthesize speech from text
- train a text-to-speech model on my own voice data
- reproduce the DC-TTS paper
- build a TTS model for Korean speech
- experiment with convolutional text-to-speech architectures
When to choose
- you want to study or reproduce the DC-TTS architecture in TensorFlow
- you need a trainable TTS model for English or Korean single-speaker datasets
- you want a research-oriented TTS codebase to learn from
When to avoid
- you need production-grade, actively maintained TTS
- you prefer PyTorch or modern TTS frameworks
- you need multi-speaker or zero-shot voice cloning
Facets
library · maturity maintenance
tts deep-learning machine-learning speech-processing deep-learning python tensorflow dc-tts text-to-speech speech-synthesis guided-attention convolutional-networks natural-language-processing
1 source
- readme: https://github.com/Kyubyong/dc_tts · fetched 2026-08-28 · e4ba52bc0924
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Kyubyong/dc_tts | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem