--- title: "sherpa-onnx vs dc_tts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/k2-fsa-sherpa-onnx-vs-kyubyong-dc-tts" tools: ["k2-fsa-sherpa-onnx", "kyubyong-dc-tts"] --- # sherpa-onnx vs dc_tts *GraphCanon updated Jul 30, 2026* ## Verdict Pick sherpa-onnx if sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages; pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. [sherpa-onnx](https://k2-fsa.github.io/sherpa/onnx/index.html) reports 14k GitHub stars, 1.6k forks, and 617 open issues, last pushed Jul 29, 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 [sherpa-onnx's repository](https://github.com/k2-fsa/sherpa-onnx) and [dc_tts's repository](https://github.com/Kyubyong/dc_tts). | | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Tagline | Speech-to-text and related audio processing tools using ONNX with cross-platform support | A TensorFlow Implementation of DC-TTS | | Stars | 13,842 | 1,156 | | Forks | 1,596 | 360 | | Open issues | 617 | 68 | | Language | C++ | Python | | Adopt for | sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. | 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._ | | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1203d | | Open issues (now) | 617 | 68 | | Owner type | Organization | User | | Full report | [trust report](/tools/k2-fsa-sherpa-onnx/trust.md) | [trust report](/tools/kyubyong-dc-tts/trust.md) | ## Decision facts: sherpa-onnx - **Adopt for:** sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. ## 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 sherpa-onnx if… - sherpa-onnx is primarily C++; dc_tts is Python. - Tags unique to sherpa-onnx: aarch64, android, arm32, asr. - When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend ### Choose dc_tts if… - dc_tts is primarily Python; sherpa-onnx is C++. - 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 sherpa-onnx - If your project strictly requires real-time web service interaction or server-based speech-to-text solutions - When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx ## 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 sherpa-onnx and dc_tts? sherpa-onnx: Speech-to-text and related audio processing tools using ONNX with cross-platform support. dc_tts: A TensorFlow Implementation of DC-TTS. See the comparison table for live GitHub stats and shared categories. ### When should I choose sherpa-onnx over dc_tts? Choose sherpa-onnx over dc_tts when sherpa-onnx is primarily C++; dc_tts is Python; Tags unique to sherpa-onnx: aarch64, android, arm32, asr; When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend. ### When should I choose dc_tts over sherpa-onnx? Choose dc_tts over sherpa-onnx when dc_tts is primarily Python; sherpa-onnx is C++; 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 avoid sherpa-onnx? If your project strictly requires real-time web service interaction or server-based speech-to-text solutions When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx ### 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 sherpa-onnx or dc_tts more popular on GitHub? sherpa-onnx has more GitHub stars (13,842 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are sherpa-onnx and dc_tts open source? Yes - both are open-source projects on GitHub (sherpa-onnx: Apache-2.0, dc_tts: Apache-2.0). ### Where can I find alternatives to sherpa-onnx or dc_tts? GraphCanon lists graph-backed alternatives at [sherpa-onnx alternatives](/tools/k2-fsa-sherpa-onnx/alternatives) and [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) ([sherpa-onnx markdown twin](/tools/k2-fsa-sherpa-onnx/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/k2-fsa-sherpa-onnx-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, sherpa-onnx or dc_tts? sherpa-onnx: Very active. 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 sherpa-onnx and dc_tts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [sherpa-onnx trust report](/tools/k2-fsa-sherpa-onnx/trust); [dc_tts trust report](/tools/kyubyong-dc-tts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=k2-fsa-sherpa-onnx`](/api/graphcanon/graph?tool=k2-fsa-sherpa-onnx) - 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/_