Fish Speech, a multilingual text-to-speech project, has experienced a significant increase in bug reports and feature requests, highlighting challenges in maintaining audio quality and model performance.
The project aims to provide high-quality speech synthesis with advanced voice cloning capabilities. It is actively developed by a diverse team of contributors focusing on internationalization and continuous integration practices.
Recent issues and pull requests (PRs) indicate a focus on resolving critical bugs and enhancing user experience. Notable issues include audio quality inconsistencies (#514) and noisy output during streaming requests (#509). These issues suggest ongoing challenges in achieving reliable performance across different environments.
Team members have been actively contributing to various aspects of the project:
| Timespan | Opened | Closed | Comments | Labeled | Milestones |
|---|---|---|---|---|---|
| 7 Days | 8 | 13 | 9 | 1 | 1 |
| 30 Days | 42 | 49 | 112 | 5 | 1 |
| 90 Days | 172 | 161 | 482 | 11 | 1 |
| All Time | 337 | 303 | - | - | - |
Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.
| Developer | Avatar | Branches | PRs | Commits | Files | Changes |
|---|---|---|---|---|---|---|
| github-actions[bot] |  |
1 | 0/0/0 | 1 | 71 | 21950 |
| spicysama |  |
1 | 6/6/0 | 6 | 33 | 3025 |
| Leng Yue |  |
1 | 1/1/0 | 16 | 42 | 1601 |
| Stardust·减 |  |
1 | 3/3/0 | 3 | 7 | 145 |
| Ikko Eltociear Ashimine |  |
1 | 1/1/0 | 1 | 4 | 91 |
| Ftps |  |
1 | 0/1/0 | 1 | 7 | 38 |
| Jalen Zhong |  |
1 | 1/1/0 | 1 | 1 | 28 |
| Sergey Aleynikov |  |
1 | 1/1/0 | 1 | 1 | 9 |
| PoTaTo |  |
1 | 1/1/0 | 1 | 3 | 8 |
| HZ.Liu |  |
1 | 1/1/0 | 1 | 1 | 2 |
| ppmzhang2 |  |
1 | 1/1/0 | 1 | 1 | 2 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
The Fish Speech project has recently seen a surge in activity, with 34 open issues currently logged. Notably, there are several critical bugs and feature requests that indicate ongoing challenges in the project's development and user experience. A recurring theme among these issues is the difficulty users face with audio generation quality and model performance, particularly regarding fine-tuning and inference processes.
Several issues highlight specific problems, such as inconsistent audio output, difficulties with model training parameters, and errors related to the API functionality. The presence of multiple language support requests also suggests a demand for broader capabilities within the TTS system.
Issue #531: License terms: what about using this in a commercial product?
Issue #515: Before you contribute, please read our 'Language Policy'.
Issue #514: [BUG] The results of running the same model on different computers vary greatly.
Issue #509: [BUG] The audio generated by the streaming request is noisy. How can I solve this problem?
Issue #497: [Feature] How can I specify that characters are silent and that pinyin or English words are read automatically?
License Inquiry (#531): This issue reflects potential commercial interest in the software but raises concerns about licensing restrictions that may limit its use in business applications.
Inconsistencies Across Systems (#514): Users report significant variations in audio output quality when running identical models on different hardware setups, suggesting potential issues with model portability or dependencies on specific hardware configurations.
Noisy Audio Generation (#509): This issue indicates a significant problem with the quality of audio produced via streaming requests, which could deter users from relying on the API for production-level applications.
Feature Requests for Enhanced Control (#497): Users are seeking more granular control over speech synthesis features, such as specifying silent characters and automatic reading of certain words, indicating a desire for more sophisticated customization options.
The Fish Speech project is actively engaging with its user community through GitHub issues, reflecting both enthusiasm and challenges in its development journey. The focus on improving audio quality, expanding language support, and clarifying licensing terms will be crucial for enhancing user satisfaction and broadening the project's applicability in various contexts.
The analysis of the pull requests (PRs) for the Fish Speech project reveals a total of 167 closed PRs, with the most recent activity indicating a focus on bug fixes, documentation updates, and feature enhancements. The project has demonstrated a consistent pace of development, with multiple contributors actively engaging in improving the codebase.
PR #530: Fix infer warmup
Closed 0 days ago. This PR addressed a bug related to inference warmup parameters and was merged quickly, indicating its importance for immediate functionality.
PR #529: docs: add Japanese README
Closed 0 days ago. This PR added a Japanese translation of the README, showcasing the project's commitment to multilingual support.
PR #524: Update docs etc.
Closed 0 days ago. This PR included various documentation updates and fixed bugs related to PyTorch compatibility, reflecting ongoing maintenance efforts.
PR #523: Upload V1.4 Demo Url
Closed 1 day ago. This PR added a link to a demo video for version 1.4, enhancing user engagement through visual content.
PR #520: Update to 1.4
Closed 2 days ago. This substantial update included new features and bug fixes related to version 1.4, indicating a significant milestone in development.
PR #518: fully support ormsgpack
Closed 4 days ago. This PR introduced full support for ormsgpack, adding new functionality to the project.
PR #516: Update issue template
Closed 4 days ago. This PR improved the issue templates, which is crucial for maintaining effective communication within the community.
PR #513: keep up with official close-source api
Closed 4 days ago. This PR ensured compatibility with an external API, highlighting the project's adaptability to changes in dependencies.
PR #507: Fix reference to load_filelist
Closed 8 days ago. This bug fix corrected an invalid reference that caused runtime errors, demonstrating attention to detail in code maintenance.
PR #499: Avoid cuda-dependent code for CPU-only inference
Closed 18 days ago. This PR addressed a critical issue for users running inference on CPU-only systems, enhancing accessibility.
PR #498: Update README.md, add trending
Closed 15 days ago. This update improved documentation and added trending information, which can help attract new users.
PR #487: Fix Import Path in tools/vqgan/inference.py
Closed 20 days ago. This PR corrected an import path issue that could lead to errors during execution.
PR #486: Fix(deps): remove audio-seperator
Closed 20 days ago. This PR removed unnecessary dependencies, streamlining the project’s requirements.
PR #482: From whisper to sensevoice
Closed 24 days ago. A major feature addition that expanded audio processing capabilities significantly.
PR #478: Fix win deps
Closed 28 days ago. This PR addressed dependency issues specific to Windows installations, improving cross-platform usability.
The pull request activity within the Fish Speech repository reflects a dynamic and responsive development environment focused on continuous improvement and user engagement. The recent flurry of activity—evidenced by multiple PRs being merged within the same day—suggests that contributors are actively addressing both urgent bugs and long-term enhancements simultaneously.
A notable theme among recent PRs is the emphasis on multilingual support and documentation improvements (e.g., PRs #529 and #524). The addition of translations not only broadens accessibility but also indicates an understanding of diverse user needs within the TTS community. Furthermore, several PRs focus on fixing bugs related to PyTorch compatibility (#524) and CUDA dependencies (#499), which are critical for ensuring that users can run the software effectively across different environments.
Feature additions such as those seen in PRs like #482 (which introduced advanced audio processing capabilities) demonstrate a commitment to expanding functionality in response to user feedback or technological advancements in TTS methods.
While the repository shows robust activity with frequent merges, it is worth noting that some older PRs have not been merged or addressed promptly (e.g., PRs from over a month ago). This could indicate potential bottlenecks in review processes or resource allocation among maintainers, which might affect future contributions if not managed effectively.
Additionally, there is a consistent pattern of using automated tools like pre-commit hooks (as seen in several PRs) to maintain code quality and consistency across contributions—a positive practice that enhances collaboration efficiency.
Despite the overall high volume of recent activity, there are periods where merge activity slows down significantly (e.g., during holidays or major releases). It would be beneficial for maintainers to communicate expected timelines for reviews or merges during these times to manage contributor expectations better.
In summary, Fish Speech's pull request landscape illustrates an active project with strong community involvement and responsiveness to user needs while also highlighting areas for improvement in review processes and communication strategies among contributors and maintainers alike.
AnyaCoder (spicysama)
Summary
Quantified Reports
Detailed Reportsapi.py, smart_pad.py, and webui.py.Ikko Eltociear Ashimine (eltociear)
Leng Yue (leng-yue)
smart_pad.py and generate.py.PoTaTo (PoTaTo-Mika)
Stardust·减 (Stardust-minus)
ppmzhang2
dur-randir (Sergey Aleynikov)
octree (HZ.Liu)
Jalen Zhong (Jalen-Zhong)
Tps-F (Ftps)
The Fish Speech project exhibits a vibrant development environment with active participation from multiple contributors. The focus on multilingual support and continuous integration practices indicates a well-organized effort towards delivering a robust text-to-speech solution.