--- title: "dc_tts vs DiffSinger" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-moonintheriver-diffsinger" tools: ["kyubyong-dc-tts", "moonintheriver-diffsinger"] --- # dc_tts vs DiffSinger *GraphCanon updated Sep 20, 2026* ## Verdict Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick DiffSinger if diffSinger leverages a shallow diffusion mechanism for high-quality singing voice synthesis and text-to-speech (TTS) tasks. It supports both ground-truth F0-based singing synthesis and explicit pitch prediction in TTS. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [DiffSinger](https://github.com/MoonInTheRiver/DiffSinger) has 4.9k stars, 826 forks, and 53 open issues, last pushed Jul 24, 2026. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [DiffSinger's repository](https://github.com/MoonInTheRiver/DiffSinger). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [DiffSinger](/tools/moonintheriver-diffsinger.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Singing Voice Synthesis via Shallow Diffusion Mechanism | | Stars | 1,159 | 4,861 | | Forks | 360 | 826 | | Open issues | 68 | 53 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | DiffSinger leverages a shallow diffusion mechanism for high-quality singing voice synthesis and text-to-speech (TTS) tasks. It supports both ground-truth F0-based singing synthesis and explicit pitch prediction in TTS. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [DiffSinger](/tools/moonintheriver-diffsinger.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 1254d | 57d | | Open issues (now) | 68 | 53 | | Stars delta | +3 (30d) | +27 (30d) | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/moonintheriver-diffsinger/trust.md) | ## 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. ## Decision facts: DiffSinger - **Adopt for:** DiffSinger leverages a shallow diffusion mechanism for high-quality singing voice synthesis and text-to-speech (TTS) tasks. It supports both ground-truth F0-based singing synthesis and explicit pitch prediction in TTS. ## Choose when ### Choose dc_tts if… - License: dc_tts is Apache-2.0, DiffSinger 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, tensorflow, tts. - dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### Choose DiffSinger if… - License: DiffSinger is MIT, dc_tts is Apache-2.0. - Tags unique to DiffSinger: aaai2022, diffusion model, singing-synthesis, speech-synthesis. - Need precise control over the fundamental frequency (F0) when synthesizing singing voices ## When NOT to use dc_tts - Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts. ## When NOT to use DiffSinger - In need of real-time synthesis performance due to the resource demands of diffusion mechanisms - Looking for an end-to-end model that does not require ground-truth F0 information for SVS tasks ## Common questions ### What is the difference between dc_tts and DiffSinger? dc_tts: A TensorFlow Implementation of DC-TTS. DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over DiffSinger? Choose dc_tts over DiffSinger when License: dc_tts is Apache-2.0, DiffSinger 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, tensorflow, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### When should I choose DiffSinger over dc_tts? Choose DiffSinger over dc_tts when License: DiffSinger is MIT, dc_tts is Apache-2.0; Tags unique to DiffSinger: aaai2022, diffusion model, singing-synthesis, speech-synthesis; Need precise control over the fundamental frequency (F0) when synthesizing singing voices. ### When should I avoid dc_tts? Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts. ### When should I avoid DiffSinger? In need of real-time synthesis performance due to the resource demands of diffusion mechanisms Looking for an end-to-end model that does not require ground-truth F0 information for SVS tasks ### Is dc_tts or DiffSinger more popular on GitHub? DiffSinger has more GitHub stars (4,861 vs 1,159). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and DiffSinger open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, DiffSinger: MIT). ### Where can I find alternatives to dc_tts or DiffSinger? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [DiffSinger alternatives](/tools/moonintheriver-diffsinger/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [DiffSinger markdown twin](/tools/moonintheriver-diffsinger/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/kyubyong-dc-tts-vs-moonintheriver-diffsinger.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or DiffSinger? dc_tts: Dormant. DiffSinger: Steady. 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 DiffSinger? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [DiffSinger trust report](/tools/moonintheriver-diffsinger/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kyubyong-dc-tts`](/api/graphcanon/graph?tool=kyubyong-dc-tts) - 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/_