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AI for Audio and Music · LearnSpace
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AI for Audio and Music

Курс от AI CERTs
Начальный≈ 34.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

AI is changing how music is created, edited, mixed, and produced. The AI for Audio and Music Certification is a practical, beginner-friendly course designed for musicians, producers, audio engineers, sound designers, and creators who want to use AI tools with confidence. The course covers real-world creative workflows, including vocal cleanup, stem separation, mastering support, sound design, sample creation, and AI-assisted composition. You’ll learn how to use AI to speed up production, improve sound quality, and experiment with new creative ideas while staying in control of your artistic direction. Through guided exercises, you’ll explore how AI can support composition, editing, audio enhancement, vocal processing, mixing preparation, and creative experimentation. The course helps you build faster, more efficient workflows for real audio and music projects. By the end, you’ll be ready to use AI across music creation, audio editing, and sound design to produce cleaner, sharper, and more production-ready work. Enroll today and start building practical AI skills for modern audio production.

Навыки, которые вы освоите

Post-ProductionMedia ProductionAI powered creativity

Программа курса

8 модулей · 89 учебных материалов

01Module 01: Introduction to AI and Sound12 материалов
Navigation VideoВидеоCourse IntroductionВидеоModule 01: Introduction to AI and SoundPLUGINAudiobook: Module 01: Introduction to AI and SoundВидео

Учитесь у экспертов

AI CERTs Team

Преподаватель курса

AI for Audio and Music
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Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 34.4 ч

8 модулей

Язык: Английский

Часть программы вашего университета
Podcast: Module 01: Introduction to AI and SoundВидео
1.1 What is AI?Видео
1.2 AI in Daily Life: Audio ExamplesВидео
1.3 Basics of Sound Waves, Amplitude, FrequencyВидео
1.4 Digital Audio FundamentalsВидео
1.5 Case Study: AI Tool for AudioВидео
ACTIVITY: FlipCardPLUGIN
Quiz 1Задание
02Module 02: Harnessing AI Across Audio Domains14 материалов
Module 02: Harnessing AI Across Audio DomainsPLUGINAudiobook: Module 02: Harnessing AI Across Audio DomainsВидеоPodcast: Module 02: Harnessing AI Across Audio DomainsВидео2.1 AI For Audio Enhancement and RestorationВидео2.2 Audio Super-Resolution And UpscalingВидео2.3 Real-World Applications: Podcasts, Broadcasts, And Audio ArchivesВидео2.4 AI For Audio Accessibility And PersonalizationВидео2.5 AI in Speech and Voice TechnologiesВидео2.6 Synthetic Voice Generation And Voice CloningВидео2.7 Emotion and Intent Detection in SpeechВидео2.8 Popular Audio Libraries: Librosa and PyaudioВидео2.9 Use Case and Case StudyВидеоACTIVITY: TabPLUGINQuiz 2Задание
03Module 03: Machine Learning and AI for Audio12 материалов
Module 03: Machine Learning and AI for AudioPLUGINAudiobook: Module 03: Machine Learning and AI for AudioВидеоPodcast: Module 03: Machine Learning and AI for AudioВидео3.1 Machine Learning Models for Audio ApplicationsВидео3.2 Audio Classification and Music GenerationВидео3.3 Deep Learning and Advanced AI Techniques for AudioВидео3.4 Audio-Specific Architectures: CNNs, RNNs, TransformersВидео3.5 Transfer Learning in Audio AIВидео3.6 Use Case: Speech-to-Text Transcription for Medical RecordsВидео3.7 Case Study: AI-powered Music Generation with Deep LearningВидеоACTIVITY: Problem StatementPLUGINQuiz 3Задание
04Module 04: Speech Recognition and Text-to-Speech11 материалов
Module 04: Speech Recognition and Text-to-SpeechPLUGINAudiobook: Module 04: Speech Recognition and Text-to-SpeechВидеоPodcast: Module 04: Speech Recognition and Text-to-SpeechВидео4.1 Fundamentals of Speech Recognition and PhoneticsВидео4.2 API-based ASR SolutionsВидео4.3 Building Custom ASR Models with TransformersВидео4.4 Introduction to Text-to-Speech (TTS) and Voice Cloning Видео4.5 Use Case: Automating Meeting Transcriptions with Google Speech-to-Text APIВидео4.6 Case Study: Custom Transformer-based ASR Model for Multilingual Customer SupportВидеоACTIVITY: True FalsePLUGINQuiz 4Задание
05Module 05: Audio Enhancement and Noise Reduction10 материалов
Module 05: Audio Enhancement and Noise ReductionPLUGINAudiobook: Module 05: Audio Enhancement and Noise ReductionВидеоPodcast: Module 05: Audio Enhancement and Noise ReductionВидео5.1 Common Audio IssuesВидео5.2 Noise Reduction Algorithms and Real-time Audio Enhancement TechniquesВидео5.3 AI Tools for Audio CleaningВидео5.4 Use Case: Enhancing Audio Quality for Remote Work Calls Using AI Noise ReductionВидео5.5 Case Study: Krisp’s AI-powered Noise Cancellation in Podcast ProductionВидеоACTIVITY: Scenario ActivityPLUGINQuiz 5Задание
06Module 06: Emotion and Sentiment Detection from Audio10 материалов
Module 06: Emotion and Sentiment Detection from AudioPLUGINAudiobook: Module 06: Emotion and Sentiment Detection from AudioВидеоPodcast: Module 06: Emotion and Sentiment Detection from AudioВидео6.1 Introduction to Emotion DetectionВидео6.2 AI Models for Emotion Detection: RNNs, LSTMs, and CNNsВидео6.3 Challenges: Bias, Multilingual Contexts, ReliabilityВидео6.4 Use Case: Enhancing Customer Service with Emotion Detection from SpeechВидео6.5 Case Study: IBM Watson Tone Analyzer for Real-Time Emotion RecognitionВидеоACTIVITY: Short AnswerPLUGINQuiz 6Задание
07Module 07: Ethical and Privacy Considerations10 материалов
Module 07: Ethical and Privacy ConsiderationsPLUGINAudiobook: Module 07: Ethical and Privacy ConsiderationsВидеоPodcast: Module 07: Ethical and Privacy ConsiderationsВидео7.1 Deepfake and Voice Cloning RisksВидео7.2 Privacy and Data SecurityВидео7.3 Bias and Fairness in Audio AIВидео7.4 Use Case: Implementing Ethical Voice Data Collection and Consent ManagementВидео7.5 Case Study: Addressing Bias and Privacy in Audio AI under GDPR ComplianceВидеоACTIVITY: AccordionPLUGINQuiz 7Задание
08Module 08: Advanced Applications and Future Trends10 материалов
Module 08: Advanced Applications and Future TrendsPLUGINAudiobook: Module 08: Advanced Applications and Future TrendsВидеоPodcast: Module 08: Advanced Applications and Future TrendsВидео8.1 Sound Event Detection and ClassificationВидео8.2 Audio Search and IndexingВидео8.3 Innovations: Multimodal AI, Edge Computing, and 3D AudioВидео8.4 Emerging Careers in Audio AIВидеоCourse SummaryВидеоACTIVITY: Multiple ResponsePLUGINQuiz 8Задание