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dc_tts

Kyubyong/dc_tts

A TensorFlow Implementation of DC-TTS

GitHub

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

183views this month

1.2k stars360 forksLast push Apr 14, 2023 Python Apache-2.0

Decision brief

dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.

Requirements:: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.

Observed Jul 17, 2026 · Source: enrich:decision_facts

dc_tts alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Dormant (1254d since push); As of Sep 20, 2026
Provenance: Not a fork · Personal account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install dc_tts

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides an implementation of text-to-speech using TensorFlow

Capability facts

Languages: python
Source: github.language · Sep 20, 2026

README

Requirements NumPy = 1.11.1 TensorFlow = 1.3 (Note that the API of has changed since 1.3) librosa tqdm matplotlib scipy

For agents

This page has a .md twin and JSON over the API.

/tools/kyubyong-dc-tts.md GET /api/graphcanon/tools/kyubyong-dc-tts GET /api/graphcanon/graph?tool=kyubyong-dc-tts