funtalk
语音相关的小工具库，封装了 TTS（文字转语音）和 ASR（语音转文字）两部分，主要配合 funvideo 项目使用，用来给自动生成的视频配音、生成对齐的字幕文件。
安装
pip install funtalk
注意：仓库的 pyproject.toml 目前没有声明任何运行依赖（dependencies = []），实际使用时需要自行安装 edge-tts、openai-whisper、funutil、moviepy，如果要用 Azure TTS 还需要 azure-cognitiveservices-speech。TTS 模块还直接 import 了 funvideo.app.utils / funvideo.app.config（属于对 funvideo 内部模块的紧耦合），脱离 funvideo 项目单独使用会因为缺依赖而报错。
TTS：文字转语音
from funtalk.tts import tts_generate # 包一级导出的默认是 edge-tts 实现
tts_generate(
text="你好，世界",
voice_name="zh-CN-XiaoxiaoNeural",
voice_rate=1.0,
voice_file="out.mp3",
subtitle_file="out.srt",
)
BaseTTS（funtalk/tts/base.py）定义了统一接口：create_tts() 生成音频，并能根据引擎返回的时间戳，把文本按标点切分对齐后生成 SRT 字幕（create_subtitle）。目前有两个实现：
funtalk.tts._edge.EdgeTTS：基于 edge-tts，包一级导出的tts_generate/edge_tts_generate就是它。funtalk.tts._azure.AzureTTS：基于 Azure 认知服务语音合成，需要从funtalk.tts._azure单独导入，依赖azure-cognitiveservices-speech以及 funvideo 配置里的speech_key/speech_region。
ASR：语音转文字
from funtalk.asr import WhisperASR
asr = WhisperASR(name="turbo") # 基于 openai-whisper
result = asr.transcribe("audio.mp3", language="ZH")
BaseASR（funtalk/asr/base.py）定义了 load() / transcribe() 接口，目前只有 WhisperASR 一个实现。
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Release files for funtalk 1.0.29
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