Home/Compare/GPA vs dc_tts

Comparison

GPA vs dc_tts

Verdict

Pick GPA if general Purpose Audio for ASR, TTS, and Voice Conversion; pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.

Markdown twin · GPA alternatives · dc_tts alternatives

GraphCanon updated 3w

GPA logo

GPA

AutoArk/GPA

1.8kpushed May 25, 2026
vs
dc_tts logo

dc_tts

Kyubyong/dc_tts

1.2kpushed Apr 14, 2023

Trust & integrity

SignalGPAdc_tts
Maintenance
Steady (65d since push)
As of 3w · github_public_v1
Dormant (1203d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Personal account
As of 3w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
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

GPA
General Purpose Audio for ASR, TTS, and Voice Conversion
dc_tts
A TensorFlow Implementation of DC-TTS

Stars

GPA
1.8k
dc_tts
1.2k

Forks

GPA
123
dc_tts
360

Open issues

GPA
4
dc_tts
68

Language

GPA
Python
dc_tts
Python

Adopt for

GPA
General Purpose Audio for ASR, TTS, and Voice Conversion
dc_tts
dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.

Persona

GPA
-
dc_tts
-

Runtime

GPA
-
dc_tts
-

License

GPA
Apache-2.0
dc_tts
Apache-2.0

Last pushed

GPA
May 25, 2026
dc_tts
Apr 14, 2023

Categories

GPA
Speech & Audio
dc_tts
Speech & Audio

Trust and health

Maintenance

GPA
Steady (60%)
dc_tts
Dormant (18%)

Days since push

GPA
65d
dc_tts
1203d

Open issues (now)

GPA
4
dc_tts
68

Owner type

GPA
Organization
dc_tts
User

OSV dependency advisories

GPA
Published findings
dc_tts
No lockfile (source not queried)

Full report

Choose GPA if…

  • Tags unique to GPA: asr, automatic-speech-recognition, text-to-speech, transformer.
  • When you require an all-in-one performance-oriented solution covering ASR, TTS, and VC tasks in a unified model.
  • More GitHub stars (1.8k vs 1.2k) - visibility, not fit.

When NOT to use GPA

  • If your project demands ultra-specialized performance tailored for only one of the specific audio tasks.
  • When real-time requirements are paramount, and you need a lightweight standalone model like GPA-TTS for limited hardware capabilities.

Choose dc_tts if…

  • 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, tensorflow.
  • 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.

Explore

Sources

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

GitHub stars on cards: GPA 1.8k · dc_tts 1.2k (synced Jul 30, 2026).

Common questions

What is the difference between GPA and dc_tts?
GPA: General Purpose Audio for ASR, TTS, and Voice Conversion. dc_tts: A TensorFlow Implementation of DC-TTS. See the comparison table for live GitHub stats and shared categories.
When should I choose GPA over dc_tts?
Choose GPA over dc_tts when Tags unique to GPA: asr, automatic-speech-recognition, text-to-speech, transformer; When you require an all-in-one performance-oriented solution covering ASR, TTS, and VC tasks in a unified model; More GitHub stars (1.8k vs 1.2k) - visibility, not fit.
When should I choose dc_tts over GPA?
Choose dc_tts over GPA when 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, tensorflow; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
When should I avoid GPA?
If your project demands ultra-specialized performance tailored for only one of the specific audio tasks. When real-time requirements are paramount, and you need a lightweight standalone model like GPA-TTS for limited hardware capabilities.
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.
Is GPA or dc_tts more popular on GitHub?
GPA has more GitHub stars (1,780 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
Are GPA and dc_tts open source?
Yes - both are open-source projects on GitHub (GPA: Apache-2.0, dc_tts: Apache-2.0).
Where can I find alternatives to GPA or dc_tts?
GraphCanon lists graph-backed alternatives at GPA alternatives and dc_tts alternatives (GPA markdown twin, dc_tts 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, GPA or dc_tts?
GPA: Steady. dc_tts: 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 GPA and dc_tts?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: GPA trust report; dc_tts trust report.

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