--- title: "dc_tts vs whisperX" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-m-bain-whisperx" tools: ["kyubyong-dc-tts", "m-bain-whisperx"] --- # dc_tts vs whisperX *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 whisperX if whisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [whisperX](https://github.com/m-bain/whisperX) has 23k stars, 2.4k forks, and 207 open issues, last pushed Jul 13, 2026. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [whisperX's repository](https://github.com/m-bain/whisperX). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [whisperX](/tools/m-bain-whisperx.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | WhisperX for automatic speech recognition with word-level timestamps and diarization | | Stars | 1,156 | 23,329 | | Forks | 360 | 2,361 | | Open issues | 68 | 207 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | WhisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | BSD-2-Clause | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [whisperX](/tools/m-bain-whisperx.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 1203d | 16d | | Open issues (now) | 68 | 207 | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/m-bain-whisperx/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: whisperX - **Adopt for:** WhisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python. ## Choose when ### Choose dc_tts if… - License: dc_tts is Apache-2.0, whisperX 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: tensorflow, tts. - dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### Choose whisperX if… - License: whisperX is BSD-2-Clause, dc_tts is Apache-2.0. - Tags unique to whisperX: asr, speech-recognition, whisper. - When you need precise automatic speech recognition (ASR) with word-level timestamps for accurate transcription and synchronization needs. ## 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 whisperX - Avoid WhisperX if you require a lightweight solution as it may necessitate additional installations like CUDA and ffmpeg. - Do not use this tool if your environment is constrained to CPU-only operations without access to the required GPU acceleration libraries, as performance limitations could be significant. ## Common questions ### What is the difference between dc_tts and whisperX? dc_tts: A TensorFlow Implementation of DC-TTS. whisperX: WhisperX for automatic speech recognition with word-level timestamps and diarization. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over whisperX? Choose dc_tts over whisperX when License: dc_tts is Apache-2.0, whisperX 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: tensorflow, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### When should I choose whisperX over dc_tts? Choose whisperX over dc_tts when License: whisperX is BSD-2-Clause, dc_tts is Apache-2.0; Tags unique to whisperX: asr, speech-recognition, whisper; When you need precise automatic speech recognition (ASR) with word-level timestamps for accurate transcription and synchronization needs. ### 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 whisperX? Avoid WhisperX if you require a lightweight solution as it may necessitate additional installations like CUDA and ffmpeg. Do not use this tool if your environment is constrained to CPU-only operations without access to the required GPU acceleration libraries, as performance limitations could be significant. ### Is dc_tts or whisperX more popular on GitHub? whisperX has more GitHub stars (23,329 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and whisperX open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, whisperX: BSD-2-Clause). ### Where can I find alternatives to dc_tts or whisperX? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [whisperX alternatives](/tools/m-bain-whisperx/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [whisperX markdown twin](/tools/m-bain-whisperx/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-m-bain-whisperx.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or whisperX? dc_tts: Dormant. whisperX: 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 whisperX? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [whisperX trust report](/tools/m-bain-whisperx/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/_