--- title: "GPA vs dc_tts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/autoark-gpa-vs-kyubyong-dc-tts" tools: ["autoark-gpa", "kyubyong-dc-tts"] --- # GPA vs dc_tts *GraphCanon updated Jul 30, 2026* ## 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. [GPA](https://autoark.github.io/GPA/) reports 1.8k GitHub stars, 123 forks, and 4 open issues, last pushed May 25, 2026. [dc_tts](https://github.com/Kyubyong/dc_tts) has 1.2k stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. Figures are from public GitHub metadata via [GPA's repository](https://github.com/AutoArk/GPA) and [dc_tts's repository](https://github.com/Kyubyong/dc_tts). | | [GPA](/tools/autoark-gpa.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Tagline | General Purpose Audio for ASR, TTS, and Voice Conversion | A TensorFlow Implementation of DC-TTS | | Stars | 1,780 | 1,156 | | Forks | 123 | 360 | | Open issues | 4 | 68 | | Language | Python | Python | | Adopt for | General Purpose Audio for ASR, TTS, and Voice Conversion | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [GPA](/tools/autoark-gpa.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 65d | 1203d | | Open issues (now) | 4 | 68 | | Owner type | Organization | User | | Full report | [trust report](/tools/autoark-gpa/trust.md) | [trust report](/tools/kyubyong-dc-tts/trust.md) | ## Decision facts: GPA - **Adopt for:** General Purpose Audio for ASR, TTS, and Voice Conversion ## Decision facts: dc_tts - **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. - **Adopt for:** dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ## Choose when ### 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. ### 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 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 NOT to use dc_tts - Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ## 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 1229 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](/tools/autoark-gpa/alternatives) and [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) ([GPA markdown twin](/tools/autoark-gpa/alternatives.md), [dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md)), 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](/compare/autoark-gpa-vs-kyubyong-dc-tts.md) 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](/tools/autoark-gpa/trust); [dc_tts trust report](/tools/kyubyong-dc-tts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=autoark-gpa`](/api/graphcanon/graph?tool=autoark-gpa) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_