Comparison
dc_tts vs Speech
Verdict
Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick Speech if nVIDIA-NeMo/Speech - A scalable toolkit for speech AI tasks such as ASR, TTS, and speaker recognition built on PyTorch with CUDA support.
Markdown twin · dc_tts alternatives · Speech alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | dc_tts | Speech |
|---|---|---|
| Maintenance | Dormant (1203d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- dc_tts
- A TensorFlow Implementation of DC-TTS
- Speech
- A scalable generative AI framework for Speech AI
Stars
- dc_tts
- 1.2k
- Speech
- 18k
Forks
- dc_tts
- 360
- Speech
- 3.5k
Open issues
- dc_tts
- 68
- Speech
- 238
Language
- dc_tts
- Python
- Speech
- Python
Adopt for
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
- Speech
- NVIDIA-NeMo/Speech - A scalable toolkit for speech AI tasks such as ASR, TTS, and speaker recognition built on PyTorch with CUDA support.
Persona
- dc_tts
- -
- Speech
- -
Runtime
- dc_tts
- -
- Speech
- -
License
- dc_tts
- Apache-2.0
- Speech
- Apache-2.0
Last pushed
- dc_tts
- Apr 14, 2023
- Speech
- Aug 7, 2026
Categories
- dc_tts
- Speech & Audio
- Speech
- Developer Tools, Model Training, Speech & Audio
Trust and health
Maintenance
- dc_tts
- Dormant (18%)
- Speech
- Very active (96%)
Days since push
- dc_tts
- 1203d
- Speech
- 0d
Open issues (now)
- dc_tts
- 68
- Speech
- 238
Owner type
- dc_tts
- User
- Speech
- Organization
Full report
- dc_tts
- Trust report
- Speech
- Trust report
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, 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 1224 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
Choose Speech if…
- Tags unique to Speech: asr, deeplearning, generative-ai, machine-translation.
- Also covers Developer Tools, Model Training.
- When working on projects that require extensive GPU utilization for training large models due to its support for efficient CUDA usage.
When NOT to use Speech
- For environments where GPU access is limited or unavailable since the toolkit highly recommends a GPU setup for both training and recommended for inference.
- If your Python/PyTorch/CUDA versions fall below the specified requirements (Python 3.12+, PyTorch 2.7+), as lower versions will not be compatible with NeMo Speech.
- In scenarios where you're working with models that do not require or benefit significantly from GPU acceleration, given its architecture optimized for GPU use.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Kyubyong/dc_tts) · observed Jul 30, 2026
- GitHub forks (Kyubyong/dc_tts) · observed Jul 30, 2026
- Last push (Kyubyong/dc_tts) · observed Apr 14, 2023
- License file (Apache-2.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NVIDIA-NeMo/Speech) · observed Aug 7, 2026
- GitHub forks (NVIDIA-NeMo/Speech) · observed Aug 7, 2026
- Last push (NVIDIA-NeMo/Speech) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dc_tts 1.2k · Speech 18k (synced Jul 30, 2026).
Common questions
- What is the difference between dc_tts and Speech?
- dc_tts: A TensorFlow Implementation of DC-TTS. Speech: A scalable generative AI framework for Speech AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose dc_tts over Speech?
- Choose dc_tts over Speech 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, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. - When should I choose Speech over dc_tts?
- Choose Speech over dc_tts when Tags unique to Speech: asr, deeplearning, generative-ai, machine-translation; Also covers Developer Tools, Model Training; When working on projects that require extensive GPU utilization for training large models due to its support for efficient CUDA usage.
- When should I avoid dc_tts?
- Last GitHub push was 1224 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
- When should I avoid Speech?
- For environments where GPU access is limited or unavailable since the toolkit highly recommends a GPU setup for both training and recommended for inference. If your Python/PyTorch/CUDA versions fall below the specified requirements (Python 3.12+, PyTorch 2.7+), as lower versions will not be compatible with NeMo Speech. In scenarios where you're working with models that do not require or benefit significantly from GPU acceleration, given its architecture optimized for GPU use.
- Is dc_tts or Speech more popular on GitHub?
- Speech has more GitHub stars (17,940 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
- Are dc_tts and Speech open source?
- Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, Speech: Apache-2.0).
- Where can I find alternatives to dc_tts or Speech?
- GraphCanon lists graph-backed alternatives at dc_tts alternatives and Speech alternatives (dc_tts markdown twin, Speech 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 Speech?
- dc_tts: Dormant. Speech: Very active. 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 Speech?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; Speech trust report.