提升准确性的关键在于持续优化知识库和监控分析数据。建议采取以下步骤：1) 定期检查仪表板中的用户满意度数据分析；2) 根据高频未解决问题补充知识库内容；3) 通过上传最新产品文档保持信息时效性；4) 测试不同回复风格（正式/友好）的匹配度。平台支持实时更新知识库，结合GPT-3.5 Turbo的语义理解能力，经过2-3轮优化后通常可将准确率提升至70%以上。
This answer comes from the articlechatless.ai: Rapidly create AI chat assistants to support customer serviceThe
Chinese TTS Special ChallengesChinese has complex pronunciation rules such as polyphonic characters and paediatric sounds. Although the support for Chinese in the current version is still in the process of improvement, it can be enhanced by the following programs...
Business scenarios such as customer service systems and audiobook production require dynamic switching of voice output with different tones, and Kokoro-ONNX meets this need with the following mechanism...
Performance Bottleneck AnalysisThe TTS system is prone to latency on devices with limited CPU resources.Kokoro-ONNX achieves performance optimization through the following design:...
BackgroundIn multilingual scenarios, traditional TTS systems often require complex dependency libraries and large model files, leading to inefficient deployment.Kokoro-...
The installation process of Kokoro-ONNX has been carefully designed to ensure ease of use for developers. The basic installation is just a single command executed via pip...
Kokoro-ONNX not only supports basic speech synthesis functions, but also provides diverse voice selection options. Users can use voices.js...
Kokoro-ONNX was designed with the need for multi-language support in mind. The current version has full support for text-to-speech in English, which is the most basic and...
Kokoro-ONNX is an open source text-to-speech (TTS) engine based on the ONNX Runtime by developer thewh1t...
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