Introduction to Audio AI 培训
Audio AI 指的是能够解释、分析、生成或与音频信号(包括人类语音、环境声音和音乐)互动的人工智慧技术。
这门由讲师指导的培训(线上或线下)针对初级专业人士,旨在帮助他们理解AI在音频领域中如何应用于业务、沟通、自动化和创新。
培训结束后,参与者将能够:
- 理解Audio AI是什么以及它在实际场景中的应用。
- 识别不同类型的音频AI工具(例如转录、分类、生成)。
- 探索客户服务、安全、合规和媒体中的业务案例。
- 评估适合企业音频应用的AI工具和服务。
课程形式
- 互动式讲座与讨论。
- 大量练习与实践。
- 在实时实验室环境中进行动手实作。
课程定制选项
- 如需为此课程定制培训,请联系我们安排。
课程大纲
Audio AI 简介
- 定义 Audio AI 及其关键功能
- 语音、声音与语音 AI 的区别
- 流行工具和平台的示例
Audio AI 应用类别
- 语音识别与自动转录
- 语音助手与对话代理
- 音频分类与事件检测
Use Case 在各行业的应用
- 客户服务与联络中心
- 媒体、播客与教育
- 安全、合规与执法
使用 Audio AI 工具(演示)
- 使用 Whisper 或 Azure Speech 进行实时转录
- 使用 AI 降噪进行基本音频增强
- 语音克隆与生成工具的概述
选择合适的平台
- 云 API 与开源库的对比
- 评估成本、准确性与可扩展性
- 供应商比较:Google、Microsoft、OpenAI、ElevenLabs
伦理与法律考虑
- 音频数据隐私与同意
- 生成语音与深度伪造的使用
- 安全与合规部署的指南
探索实验室:应用 Audio AI 概念
- 动手探索转录、降噪与分类工具
- 小组练习:选择业务案例并匹配 AI 工具
- 团队讨论:挑战、假设与成功标准
总结与下一步
要求
- 对通用AI或数据相关术语的理解
- 熟悉数位工作流程或企业系统
目标受众
- Business 探索AI驱动语音和音频解决方案的领导者
- 评估使用案例的产品经理和创新团队
- Go 参与数位转型的政府或企业员工
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