What are the prerequisites?

You needbasic programming knowledge (Python), an understanding ofaudio signal processing, and familiarity withmachine learning fundamentals.

What key skills will I gain?

Speech-to-Text (ASR), Text-to-Speech (TTS), audio enhancement, noise reduction, voice emotion detection,andethical voice AI practices.

What tools will I learn to use?

You'llwork withPython libraries (Librosa,PyAudio), TensorFlow,and commercial APIs likeDeepgram, IBM Watson Tone Analyzer,andKrisp/Adobe Enhance Speech.

Does the course cover deep learning for audio?

Yes, a dedicated module covers usingCNNs, RNNs, and Transformer modelsto analyze audio and build ML models for sound and speech tasks.

Will I build an application?

Yes, you will gain hands-on experience building aSpeech-to-Text modelwith TensorFlow, performingemotion detection, and cleaning noisy audio.

What is covered in the ethics module?

The module addressesvoice deepfakes, cloning risks, data privacy (GDPR compliance),and strategies to mitigatealgorithmic biasin audio systems.

What industry applications are covered?

Case studies includeAl-powered music generation, medical record transcription,andpersonalized hearing aid adaptationusing AI.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI for Audio and Music

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AI for Audio and Music

位教师：AI CERTs Team

包含在中

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8个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

8个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Enhance & Clean Audio:Use AI to reduce noise, improve clarity, and enhance audio using ML-based restoration and speech cleanup techniques.
Build Speech & Voice Systems:Apply ASR/TTS tools to convert speech to text, generate synthetic voices & power intelligent voice-driven applications.
Apply Deep Learning for Sound:Use CNNs, RNNs, and transformers to analyze audio, detect emotions, and build ML models for speech and music tasks.
Capstone Project:Create and deploy an AI audio application such as speech transcription, audio enhancement, or emotion detection.

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该课程共有8个模块

Sound is no longer just heard - it’s understood, generated, enhanced, and personalized by AI. From voice assistants and smart speakers to automated mixing, voice cloning, and adaptive audio for AR/VR, the future of sound is intelligent and interactive.

The AI for audio and music certification introduces you to the fundamentals of AI-driven audio processing and modern speech technologies, blending theory with hands-on practice. You’ll explore how machines listen, analyze, and generate sound using signal processing, machine learning, and neural networks — and how these technologies power real-world applications in media, gaming, accessibility, customer experience, and immersive systems. Through guided labs, you’ll work with Python, Librosa, Hugging Face speech models, Audacity, and no-code AI tools to build audio enhancement pipelines, speech-to-text models, voice synthesis demos, and real-time intelligent audio workflows. You’ll also learn evaluation techniques, ethics for voice AI, copyright considerations for generated audio, and best-practice guidelines for transparent and responsible AI usage. By the end of this program, you'll be able to: Build basic AI-powered audio and speech prototypes Enhance sound quality and remove noise using ML Create simple TTS/voice applications Apply audio AI in creative, business, and product workflows.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

涵盖的内容

8个视频1个作业2个插件

8个视频总计105分钟

Course Introduction5分钟
Audiobook: Module 01: Introduction to AI and Sound55分钟
Podcast: Module 01: Introduction to AI and Sound26分钟
1.1 What is AI?4分钟
1.2 AI in Daily Life: Audio Examples3分钟
1.3 Basics of Sound Waves, Amplitude, Frequency4分钟
1.4 Digital Audio Fundamentals3分钟
1.5 Case Study: AI Tool for Audio3分钟

1个作业总计30分钟

Quiz 130分钟

2个插件总计30分钟

Module 01: Introduction to AI and Sound15分钟
ACTIVITY: FlipCard15分钟

涵盖的内容

11个视频1篇阅读材料1个作业2个插件

11个视频总计336分钟

Audiobook: Module 02: Harnessing AI Across Audio Domains216分钟
Podcast: Module 02: Harnessing AI Across Audio Domains73分钟
2.1 AI For Audio Enhancement and Restoration5分钟
2.2 Audio Super-Resolution And Upscaling5分钟
2.3 Real-World Applications: Podcasts, Broadcasts, And Audio Archives5分钟
2.4 AI For Audio Accessibility And Personalization6分钟
2.5 AI in Speech and Voice Technologies3分钟
2.6 Synthetic Voice Generation And Voice Cloning4分钟
2.7 Emotion and Intent Detection in Speech5分钟
2.8 Popular Audio Libraries: Librosa and Pyaudio4分钟
2.9 Use Case and Case Study5分钟

1篇阅读材料总计10分钟

Hands - On10分钟

1个作业总计30分钟

Quiz 230分钟

2个插件总计30分钟

Module 02: Harnessing AI Across Audio Domains15分钟
ACTIVITY: Tab15分钟

涵盖的内容

9个视频1篇阅读材料1个作业2个插件

9个视频总计223分钟

Audiobook: Module 03: Machine Learning and AI for Audio131分钟
Podcast: Module 03: Machine Learning and AI for Audio57分钟
3.1 Machine Learning Models for Audio Applications5分钟
3.2 Audio Classification and Music Generation5分钟
3.3 Deep Learning and Advanced AI Techniques for Audio3分钟
3.4 Audio-Specific Architectures: CNNs, RNNs, Transformers5分钟
3.5 Transfer Learning in Audio AI4分钟
3.6 Use Case: Speech-to-Text Transcription for Medical Records3分钟
3.7 Case Study: AI-powered Music Generation with Deep Learning5分钟

1篇阅读材料总计10分钟

Hands - On10分钟

1个作业总计30分钟

Quiz 330分钟

2个插件总计30分钟

Module 03: Machine Learning and AI for Audio15分钟
ACTIVITY: Problem Statement15分钟

涵盖的内容

8个视频1个作业2个插件

8个视频总计227分钟

Audiobook: Module 04: Speech Recognition and Text-to-Speech147分钟
Podcast: Module 04: Speech Recognition and Text-to-Speech52分钟
4.1 Fundamentals of Speech Recognition and Phonetics4分钟
4.2 API-based ASR Solutions5分钟
4.3 Building Custom ASR Models with Transformers5分钟
4.4 Introduction to Text-to-Speech (TTS) and Voice Cloning 6分钟
4.5 Use Case: Automating Meeting Transcriptions with Google Speech-to-Text API2分钟
4.6 Case Study: Custom Transformer-based ASR Model for Multilingual Customer Support4分钟

1个作业总计30分钟

Quiz 430分钟

2个插件总计30分钟

Module 04: Speech Recognition and Text-to-Speech15分钟
ACTIVITY: True False15分钟

涵盖的内容

7个视频1篇阅读材料1个作业2个插件

7个视频总计137分钟

Audiobook: Module 05: Audio Enhancement and Noise Reduction73分钟
Podcast: Module 05: Audio Enhancement and Noise Reduction41分钟
5.1 Common Audio Issues4分钟
5.2 Noise Reduction Algorithms and Real-time Audio Enhancement Techniques4分钟
5.3 AI Tools for Audio Cleaning3分钟
5.4 Use Case: Enhancing Audio Quality for Remote Work Calls Using AI Noise Reduction4分钟
5.5 Case Study: Krisp’s AI-powered Noise Cancellation in Podcast Production4分钟

1篇阅读材料总计10分钟

Hands - On10分钟

1个作业总计30分钟

Quiz 530分钟

2个插件总计30分钟

Module 05: Audio Enhancement and Noise Reduction15分钟
ACTIVITY: Scenario Activity15分钟

涵盖的内容

7个视频1篇阅读材料1个作业2个插件

7个视频总计201分钟

Audiobook: Module 06: Emotion and Sentiment Detection from Audio122分钟
Podcast: Module 06: Emotion and Sentiment Detection from Audio58分钟
6.1 Introduction to Emotion Detection4分钟
6.2 AI Models for Emotion Detection: RNNs, LSTMs, and CNNs4分钟
6.3 Challenges: Bias, Multilingual Contexts, Reliability5分钟
6.4 Use Case: Enhancing Customer Service with Emotion Detection from Speech3分钟
6.5 Case Study: IBM Watson Tone Analyzer for Real-Time Emotion Recognition3分钟

1篇阅读材料总计10分钟

Hands - On10分钟

1个作业总计30分钟

Quiz 630分钟

2个插件总计30分钟

Module 06: Emotion and Sentiment Detection from Audio15分钟
ACTIVITY: Short Answer15分钟

涵盖的内容

7个视频1篇阅读材料1个作业2个插件

7个视频总计173分钟

Audiobook: Module 07: Ethical and Privacy Considerations96分钟
Podcast: Module 07: Ethical and Privacy Considerations58分钟
7.1 Deepfake and Voice Cloning Risks4分钟
7.2 Privacy and Data Security4分钟
7.3 Bias and Fairness in Audio AI3分钟
7.4 Use Case: Implementing Ethical Voice Data Collection and Consent Management2分钟
7.5 Case Study: Addressing Bias and Privacy in Audio AI under GDPR Compliance3分钟

1篇阅读材料总计10分钟

Hands - On10分钟

1个作业总计30分钟

Quiz 730分钟

2个插件总计30分钟

Module 07: Ethical and Privacy Considerations15分钟
ACTIVITY: Accordion15分钟

涵盖的内容

7个视频1个作业2个插件

7个视频总计176分钟

Audiobook: Module 08: Advanced Applications and Future Trends108分钟
Podcast: Module 08: Advanced Applications and Future Trends45分钟
8.1 Sound Event Detection and Classification5分钟
8.2 Audio Search and Indexing4分钟
8.3 Innovations: Multimodal AI, Edge Computing, and 3D Audio4分钟
8.4 Emerging Careers in Audio AI3分钟
Course Summary4分钟

1个作业总计30分钟

Quiz 830分钟

2个插件总计30分钟

Module 08: Advanced Applications and Future Trends15分钟
ACTIVITY: Multiple Response15分钟

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常见问题

The certification focuses on integrating AI withaudio technologies, covering speech recognition, processing, machine learning for sound, and AI-driven audio enhancement.

It'sa1-day intensive programwith hands-on labs, designed for quick mastery of AI audio workflows.

Audio engineers, data scientists, and tech professionalsfocused on audio-related AI solutions across media, communication, and entertainment.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.