Quantify Issues

Recent GitHub Issues Activity

_{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.}

Quantify commits

Quantified Commit Activity Over 30 Days

Developer	Avatar	Branches	PRs	Commits	Files	Changes
RVC-Boss		1	0/0/0	71	40	47884
蓝梦实		1	6/6/1	6	22	3096
ChasonJiang		2	4/4/0	4	12	2985
XXXXRT666		1	9/9/2	9	44	2492
KamioRinn		1	10/11/1	11	21	1623
Lion-Wu		1	1/1/0	1	5	465
红血球AE3803		1	1/1/0	1	1	44
AkitoLiu		1	1/1/0	1	2	25
licycle		1	1/1/0	1	1	4
Strive-for-excellence		1	1/1/0	1	1	4
undefined (LonelyTaker)		1	2/2/0	2	2	3
Yuan-Man		1	1/1/1	1	1	2
xiaofeicn		1	0/1/0	1	1	2
刘悦 (v3ucn)		0	1/0/0	0	0	0
LC (lc6464)		0	0/0/1	0	0	0
None (CyberWon)		0	1/0/0	0	0	0
Ikko Eltociear Ashimine (eltociear)		0	0/0/1	0	0	0
None (shadow01a)		0	0/0/1	0	0	0
HaTiWinter (HaTiWinter)		0	0/0/1	0	0	0
Maic Gerace (AssassinQuin)		0	1/0/0	0	0	0
Ziyao Wang (wangziyao318)		0	1/0/1	0	0	0
Ming (Ming-Zhou0201)		0	4/0/1	0	0	0
None (james-bond-007)		0	0/0/1	0	0	0

_{PRs: created by that dev and opened/merged/closed-unmerged during the period}

Report On: Fetch issues

Recent Activity Analysis

The GitHub repository for GPT-SoVITS has seen significant activity, with a total of 525 open issues and 584 closed issues. Recent issues indicate ongoing challenges with model performance, particularly in the areas of inference accuracy and handling various languages. Notably, there are multiple reports of audio generation errors, including issues with "swallowing words" and unexpected outputs when using certain reference audio files.

A recurring theme among the issues is the difficulty users face when trying to achieve consistent results across different languages and audio inputs. Many users have reported problems with specific phrases or words being mispronounced or omitted entirely during synthesis, which raises concerns about the robustness of the underlying models.

Issue Details

Here are some of the most recently created and updated issues:

1. Issue #1518: 推理日语文本的时候出现错误

   • Priority: High
   • Status: Open
   • Created: 0 days ago
   • Updated: Not updated
   • Details: User reports an error during Japanese text inference, indicating potential bugs in handling specific language inputs.

2. Issue #1517: Fast_infercence_ 分支的推理速度

   • Priority: Medium
   • Status: Open
   • Created: 0 days ago
   • Updated: Not updated
   • Details: Inquiry about improving inference speed for the Fast_inference branch, suggesting a need for optimization in real-time processing.

3. Issue #1516: infer_panel_batch_infer爆显存问题

   • Priority: High
   • Status: Open
   • Created: 0 days ago
   • Updated: Not updated
   • Details: User encounters a CUDA out-of-memory error during batch inference, highlighting potential memory management issues.

4. Issue #1515: 请问继续预训练或者微调的数据可以不带说话人信息吗

   • Priority: Low
   • Status: Open
   • Created: 0 days ago
   • Updated: Not updated
   • Details: User seeks clarification on whether speaker information is necessary for continued training or fine-tuning.

5. Issue #1514: 日语推理提取文本bert特征时卡住

   • Priority: Medium
   • Status: Open
   • Created: 1 day ago
   • Updated: Edited recently
   • Details: The issue involves freezing during BERT feature extraction for Japanese text, suggesting possible inefficiencies in the processing pipeline.

6. Issue #1513: opencc包要求高版本的GLIBC_2.29

   • Priority: Medium
   • Status: Closed
   • Created: 1 day ago
   • Updated: Edited recently
   • Details: User encountered installation issues due to library version requirements, indicating challenges with dependency management.

7. Issue #1512: 瑟读音错误，(se4)会读成(sai4)

   • Priority: Medium
   • Status: Open
   • Created: 1 day ago
   • Updated: Edited recently
   • Details: A report of incorrect pronunciation in generated audio, emphasizing the need for improved phonetic handling.

8. Issue #1508: 🎉很多人要的【SSML 标签】 已初步支持！

   • Priority: Low
   • Status: Open
   • Created: 1 day ago
   • Updated: Edited recently
   • Details: Announcement of preliminary support for SSML tags, showcasing ongoing feature development.

Important Observations

• There is a notable trend of users facing difficulties with language-specific features and audio quality.
• Issues related to memory management (e.g., CUDA out-of-memory) are prevalent, indicating that users may be working with large models or datasets that exceed available resources.
• The community is actively engaging in discussions around optimizing performance and resolving bugs, which suggests a collaborative effort towards improving the software.
• The introduction of new features (like SSML support) indicates ongoing development and responsiveness to user requests.

Overall, while there are many active discussions about improvements and bug fixes, the project appears to be evolving rapidly with community involvement driving enhancements.

Report On: Fetch pull requests

Report on Pull Requests

Overview

The repository RVC-Boss/GPT-SoVITS has a total of 46 open pull requests, with a variety of enhancements, bug fixes, and feature additions aimed at improving the text-to-speech (TTS) synthesis capabilities of the software. The recent activity indicates a focus on optimizing performance, enhancing multi-language support, and refining user interface elements.

Summary of Pull Requests

Open Pull Requests

• PR #1479: 解决并发请求接口时,音色互相串的问题
  Created 6 days ago. This PR addresses an issue with concurrent requests causing voice blending problems. It introduces asynchronous handling in the TTS API functions.

• PR #1429: fast_inference: support v2 model
  Created 13 days ago. This PR adds support for version 2 models in the inference process, ensuring compatibility with updated model architectures.

• PR #1121: 添加一键部署到阿里云函数计算的链接
  Created 91 days ago. This PR provides a template for deploying the application to Alibaba Cloud Function Compute, streamlining deployment and usage.

• PR #1420: fix: gitgnore
  Created 14 days ago. A minor fix to the .gitignore file to include additional patterns for ignored files.

• PR #1380: fix webui.py python环境.pth问题修复
  Created 20 days ago. This PR updates the webui.py file to avoid writing paths directly into site-packages, thus preventing potential conflicts in shared environments.

• PR #1379: fix api.py 中英混合模式下，修复1.fly被读为one.fly的情况，调整后为 一.fly
  Created 20 days ago. Fixes an issue where mixed-language input was mispronounced, ensuring that numeric representations are handled correctly.

• PR #1350: fix TTS.py
  Created 26 days ago. Adjusts maximum length calculations in TTS processing to ensure accurate handling of input lengths.

• PR #1334: Update install.sh
  Created 31 days ago. Modifies the installation script to include make command dependencies for smoother installation processes.

• PR #1306: 更好的API，更新情感插件
  Created 39 days ago. Updates the emotional management plugin and improves API functionality for better integration with GPT-SoVITS.

Closed Pull Requests

• PR #1509: [i18n 优化] add SORT_KEYS
  Closed recently. Introduces a sorting option for internationalization (i18n) keys to facilitate batch processing of missing values.

• PR #1504: Merge_yi修复
  Closed recently. Fixes issues related to merging specific phonetic representations in Chinese text processing.

• PR #1454: Fix hyphen
  Closed recently. Addresses issues with out-of-vocabulary (OOV) words that contain hyphens in English text processing.

Analysis of Pull Requests

The current landscape of pull requests within the RVC-Boss/GPT-SoVITS repository reveals several key themes and trends:

Focus on Performance and Usability

Recent pull requests emphasize optimizing performance, particularly regarding asynchronous processing and batch inference capabilities. For instance, PR #1479 introduces asynchronous handling in API calls to prevent voice blending during concurrent requests—a common issue in TTS systems that can degrade user experience significantly. Similarly, PR #1429's addition of support for version 2 models indicates an ongoing effort to enhance synthesis quality and model compatibility.

Multi-Language Support

Another prominent theme is the enhancement of multi-language capabilities within the system. The repository's commitment to supporting various languages is evident from multiple pull requests aimed at fixing pronunciation issues (e.g., PR #1379) and improving emotional expression through updated APIs (e.g., PR #1306). This aligns with the project's goal of providing robust TTS solutions across different linguistic contexts, catering especially to users who require nuanced language processing.

User Interface Improvements

Several pull requests focus on refining the user interface and user experience aspects of the software. For example, PR #1121 simplifies deployment processes via Alibaba Cloud, making it easier for users to access and utilize the tool without extensive technical knowledge. Additionally, enhancements in web UI layout and functionality are noted in various PRs aimed at improving accessibility and usability for end-users.

Community Engagement

The volume of open pull requests suggests active community engagement and contribution towards continuous improvement of the project. The discussions in comments reflect a collaborative environment where contributors are encouraged to share insights and address issues collectively—this is crucial for maintaining momentum in open-source projects.

Anomalies and Concerns

Despite the positive trends, there are concerns regarding some older pull requests that remain unresolved or have not been merged despite their potential value (e.g., PRs related to i18n improvements). This could indicate bottlenecks in review processes or prioritization challenges within the development team. Additionally, some pull requests address minor fixes or documentation updates that may not be as critical but still contribute significantly to overall project health.

In conclusion, while there is substantial progress reflected in recent pull requests focusing on performance optimization and multi-language support, attention should also be given to resolving older contributions that could enhance functionality further. The active involvement from contributors showcases a vibrant community ready to tackle challenges as they arise while pushing for innovative advancements in TTS technology through GPT-SoVITS.

Report On: Fetch commits

Repo Commits Analysis

Development Team and Recent Activity

Team Members and Recent Activity:

1. RVC-Boss

   • Recent Commits: 71 commits, significant updates including:
   • Added SORT_KEYS functionality.
   • Updated multiple files related to Gradio and inference web UI.
   • Major updates to README.md and changelogs.
   • Addressed various bugs and added features like timebre mixing.
   • Collaboration: Worked with multiple contributors on various features.

2. SapphireLab

   • Recent Commits: 6 commits focused on bug fixes and updates.
   • Notable Changes: Fixes in ASR-related tools and improvements in internationalization (i18n).

3. ChasonJiang

   • Recent Commits: 4 commits, primarily focused on optimizing batch inference strategies and ensuring compatibility with PyTorch environments.
   • Collaboration: Engaged in merging branches and optimizing model performance.

4. KamioRinn

   • Recent Commits: 11 commits, addressing API optimizations, bug fixes, and enhancements in language processing.
   • Collaboration: Worked closely on merging pull requests and resolving issues related to model control.

5. Strive-for-excellence

   • Recent Commits: 1 commit focused on code cleanup.

6. Yuan-ManX

   • Recent Commits: 1 commit updating the README file.

7. XXXXRT666

   • Recent Commits: 9 commits, including significant contributions to i18n updates and bug fixes across various components.

8. Lion-Wu

   • Recent Commits: 1 commit updating documentation.

9. Akito-UzukiP

   • Recent Commits: 1 commit adding a Japanese dictionary feature.

10. xiaofeicn

    • Recent Commits: 1 commit related to normalization logic.

11. licycle

    • Recent Commits: 1 commit addressing a Python bug.

12. Erythrocyte3803

    • Recent Commits: 1 commit enhancing API functionality.

13. LonelyTaker

    • Recent Commits: 2 commits focusing on text processing improvements.

Patterns, Themes, and Conclusions:

• The development team is actively engaged in both feature development and bug fixing, with a notable focus on improving the inference capabilities of the TTS system.
• There is a strong emphasis on internationalization, as evidenced by multiple updates to localization files across different languages.
• Collaboration among team members is evident through merged pull requests and shared contributions to common features like the inference web UI.
• The recent activity indicates a robust response to user feedback, particularly in enhancing the usability of the tool for diverse languages and improving overall performance.
• The project is experiencing rapid development cycles with frequent updates, reflecting a vibrant community engagement around the GPT-SoVITS tool.