流式生成测试结果
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- Dominant language
- Python
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Description
我使用streamer.py测试了流式生成的效果。
在默认参数
CHUNK_SIZE = 30
OVERLAP_SECONDS = 10
时,每个音频chunk的长度是20s,音频质量和非流式相近。
为了缩短首chunk时长,我尝试减小这两个值为
CHUNK_SIZE = 3
OVERLAP_SECONDS = 1
此时每个音频chunk的长度是2s,但是音量、音色等出现不稳定的状况。
或许适用于播客这种对话型任务的模型,对实时性要求不那么高?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with streamer.py and reproduce the reported settings: CHUNK_SIZE=30 with OVERLAP_SECONDS=10, then 3 and 1. Compare chunk duration and audio volume or timbre stability, and inspect how streaming generation handles these parameters. Done means the cause or expected behavior is established and the issue has a clearly documented resolution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- audio-video-rtc, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100