Home/Compare/dc_tts vs Tacotron-2

Comparison

dc_tts vs Tacotron-2

Verdict

Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick Tacotron-2 if tacotron-2 is TensorFlow-based text-to-speech from DeepMind with Py implementations.

Markdown twin · dc_tts alternatives · Tacotron-2 alternatives

GraphCanon updated 3w

dc_tts logo

dc_tts

Kyubyong/dc_tts

1.2kpushed Apr 14, 2023
vs
Tacotron-2 logo

Tacotron-2

Rayhane-mamah/Tacotron-2

2.3kpushed Jul 6, 2023

Trust & integrity

Signaldc_ttsTacotron-2
Maintenance
Dormant (1203d since push)
As of 3w · github_public_v1
Dormant (1118d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Personal account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

dc_tts
A TensorFlow Implementation of DC-TTS
Tacotron-2
DeepMind's Tacotron-2 Tensorflow implementation focused on text-to-speech synthesis.

Stars

dc_tts
1.2k
Tacotron-2
2.3k

Forks

dc_tts
360
Tacotron-2
899

Open issues

dc_tts
68
Tacotron-2
265

Language

dc_tts
Python
Tacotron-2
Python

Adopt for

dc_tts
dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
Tacotron-2
Tacotron-2 is TensorFlow-based text-to-speech from DeepMind with Py implementations.

Persona

dc_tts
-
Tacotron-2
-

Runtime

dc_tts
-
Tacotron-2
-

License

dc_tts
Apache-2.0
Tacotron-2
MIT license, free for use and modification without restrictions on commercial projects.

Last pushed

dc_tts
Apr 14, 2023
Tacotron-2
Jul 6, 2023

Categories

dc_tts
Speech & Audio
Tacotron-2
Speech & Audio

Trust and health

Days since push

dc_tts
1203d
Tacotron-2
1118d

Open issues (now)

dc_tts
68
Tacotron-2
265

OSV dependency advisories

dc_tts
No lockfile (source not queried)
Tacotron-2
Published findings

Full report

Tacotron-2
Trust report

Choose dc_tts if…

  • License: dc_tts is Apache-2.0, Tacotron-2 is MIT.
  • 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..
  • Tags unique to dc_tts: speech, speech-to-text, tts.
  • dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.

When NOT to use dc_tts

  • Last GitHub push was 1227 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.

Choose Tacotron-2 if…

  • License: Tacotron-2 is MIT, dc_tts is Apache-2.0.
  • Tags unique to Tacotron-2: paper, python, speech-synthesis, tacotron.
  • High speech quality demanded, supports Ljspeech and M-AILABS dataset formats

When NOT to use Tacotron-2

  • For non-Ljspeech or M-AILABS datasets, custom preprocessing needed; less flexibility
  • If requiring rapid deployment without extensive model tweaking and training

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dc_tts 1.2k · Tacotron-2 2.3k (synced Jul 30, 2026).

Common questions

What is the difference between dc_tts and Tacotron-2?
dc_tts: A TensorFlow Implementation of DC-TTS. Tacotron-2: DeepMind's Tacotron-2 Tensorflow implementation focused on text-to-speech synthesis.. See the comparison table for live GitHub stats and shared categories.
When should I choose dc_tts over Tacotron-2?
Choose dc_tts over Tacotron-2 when License: dc_tts is Apache-2.0, Tacotron-2 is MIT; 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.; Tags unique to dc_tts: speech, speech-to-text, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
When should I choose Tacotron-2 over dc_tts?
Choose Tacotron-2 over dc_tts when License: Tacotron-2 is MIT, dc_tts is Apache-2.0; Tags unique to Tacotron-2: paper, python, speech-synthesis, tacotron; High speech quality demanded, supports Ljspeech and M-AILABS dataset formats.
When should I avoid dc_tts?
Last GitHub push was 1227 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
When should I avoid Tacotron-2?
For non-Ljspeech or M-AILABS datasets, custom preprocessing needed; less flexibility If requiring rapid deployment without extensive model tweaking and training
Is dc_tts or Tacotron-2 more popular on GitHub?
Tacotron-2 has more GitHub stars (2,324 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
Are dc_tts and Tacotron-2 open source?
Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, Tacotron-2: MIT).
Where can I find alternatives to dc_tts or Tacotron-2?
GraphCanon lists graph-backed alternatives at dc_tts alternatives and Tacotron-2 alternatives (dc_tts markdown twin, Tacotron-2 markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, dc_tts or Tacotron-2?
dc_tts: Dormant. Tacotron-2: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for dc_tts and Tacotron-2?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; Tacotron-2 trust report.

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