--- title: "dc_tts vs whisper-diarization" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-mahmoudashraf97-whisper-diarization" tools: ["kyubyong-dc-tts", "mahmoudashraf97-whisper-diarization"] --- # dc_tts vs whisper-diarization *GraphCanon updated Jul 30, 2026* ## Verdict Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick whisper-diarization if automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) has 5.6k stars, 503 forks, and 41 open issues, last pushed Feb 23, 2026. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [whisper-diarization's repository](https://github.com/MahmoudAshraf97/whisper-diarization). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper | | Stars | 1,156 | 5,615 | | Forks | 360 | 503 | | Open issues | 68 | 41 | | Language | Python | Jupyter Notebook | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | BSD-2-Clause | | Categories | Speech & Audio | Developer Tools, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1203d | 156d | | Open issues (now) | 68 | 41 | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/mahmoudashraf97-whisper-diarization/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: whisper-diarization - **Adopt for:** Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects - **License detail:** BSD-2-Clause ## Choose when ### Choose dc_tts if… - dc_tts is primarily Python; whisper-diarization is Jupyter Notebook. - License: dc_tts is Apache-2.0, whisper-diarization is BSD-2-Clause. - 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 whisper-diarization if… - whisper-diarization is primarily Jupyter Notebook; dc_tts is Python. - License: whisper-diarization is BSD-2-Clause, dc_tts is Apache-2.0. - Tags unique to whisper-diarization: asr, speaker-diarization, speech-recognition, whisper. - Also covers Developer Tools. - You need advanced speech recognition capabilities paired with speaker diarization in your Python project. ## 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. ## When NOT to use whisper-diarization - If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license. - Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights. ## Common questions ### What is the difference between dc_tts and whisper-diarization? dc_tts: A TensorFlow Implementation of DC-TTS. whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over whisper-diarization? Choose dc_tts over whisper-diarization when dc_tts is primarily Python; whisper-diarization is Jupyter Notebook; License: dc_tts is Apache-2.0, whisper-diarization is BSD-2-Clause; 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 whisper-diarization over dc_tts? Choose whisper-diarization over dc_tts when whisper-diarization is primarily Jupyter Notebook; dc_tts is Python; License: whisper-diarization is BSD-2-Clause, dc_tts is Apache-2.0; Tags unique to whisper-diarization: asr, speaker-diarization, speech-recognition, whisper; Also covers Developer Tools; You need advanced speech recognition capabilities paired with speaker diarization in your Python project. ### 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. ### When should I avoid whisper-diarization? If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license. Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights. ### Is dc_tts or whisper-diarization more popular on GitHub? whisper-diarization has more GitHub stars (5,615 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and whisper-diarization open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, whisper-diarization: BSD-2-Clause). ### Where can I find alternatives to dc_tts or whisper-diarization? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [whisper-diarization alternatives](/tools/mahmoudashraf97-whisper-diarization/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [whisper-diarization markdown twin](/tools/mahmoudashraf97-whisper-diarization/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-mahmoudashraf97-whisper-diarization.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or whisper-diarization? dc_tts: Dormant. whisper-diarization: Slowing. 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 whisper-diarization? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [whisper-diarization trust report](/tools/mahmoudashraf97-whisper-diarization/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/_