{"course":{"productid":36656,"modality":1,"active":true,"language":"de","title":"AI+ Audio\u2122","productcode":"AAUDIO","vendorcode":"AH","vendorname":"AI Certs","fullproductcode":"AH-AAUDIO","courseware":{"has_ekit":false,"has_printkit":true,"language":""},"url":"https:\/\/portal.flane.ch\/course\/aicerts-aaudio","objective":"<ul>\n<li>Revolutionizes Sound Creation Learn how AI automates composition, mixing, and mastering, making audio production faster and more innovative.<\/li><li>Enhances Audio Quality Use AI tools to clean, balance, and optimize sound for professional-grade results across platforms.<\/li><li>Personalizes Listening Experiences Discover how AI tailors music and soundscapes to individual preferences in real time.<\/li><li>Bridges Creativity and Technology Combine artistic vision with AI-driven tools to create immersive, next-generation audio experiences.<\/li><li>Expands Career Opportunities Gain industry-ready skills for roles in music tech, sound design, gaming, and multimedia production.<\/li><\/ul>","essentials":"<p>Requires basic programming knowledge in Python, familiarity with audio signal processing and machine learning concepts, comfort with linear algebra and probability, and hands-on experience using DAWs or audio software. A creative and experimental mindset is essential.<\/p>","audience":"<ul>\n<li>Aspiring Audio Engineers &ndash; Ideal for those looking to integrate AI into sound design, mixing, and mastering.<\/li><li>Music Producers and Composers &ndash; Perfect for creators who want to use AI tools for music generation and adaptive composition.<\/li><li>Machine Learning Enthusiasts &ndash; Great for learners eager to apply ML models to audio analysis and synthesis.<\/li><li>Game and Media Developers &ndash; Suitable for professionals aiming to create intelligent, immersive, and responsive sound environments.<\/li><li>Tech Innovators and Researchers &ndash; Designed for individuals exploring cutting-edge AI applications in audio technology and digital sound innovation.<\/li><\/ul>","contents":"<h5>Module 1: Introduction to AI and Sound<\/h5><ul>\n<li>1.1 What is AI?<\/li><li>1.2 AI in Daily Life: Audio Examples<\/li><li>1.3 Basics of Sound Waves, Amplitude, Frequency<\/li><li>1.4 Digital Audio Fundamentals<\/li><\/ul><h5>Module 2: Harnessing AI Across Audio Domains<\/h5><ul>\n<li>2.1 AI for Audio Enhancement and Restoration<\/li><li>2.2 AI for Audio Accessibility and Personalization<\/li><li>2.3 AI in Speech and Voice Technologies<\/li><li>2.4 Popular Audio Libraries: Librosa, PyAudio<\/li><li>2.5 Use Case:AI-Driven Real-Time Captioning and Translation for Live Events<\/li><li>2.6 Case Study:Personalized Hearing Aid Adaptation Using AI and Smart Earbuds<\/li><li>2.7 Hands-on: Voice Emotion Detection using Deepgram&rsquo;s Voice AI Platform<\/li><\/ul><h5>Module 3: Machine Learning &amp; AI for Audio<\/h5><ul>\n<li>3.1 Machine Learning Models for Audio Applications<\/li><li>3.2 Deep Learning &amp; Advanced AI Techniques for Audio<\/li><li>3.3 Audio-Specific Architectures: CNNs, RNNs, Transformers<\/li><li>3.4 Transfer Learning in Audio AI<\/li><li>3.5 Use Case: Speech-to-Text Transcription for Medical Records<\/li><li>3.6 Case Study: AI-powered Music Generation with Deep Learning<\/li><li>3.7 Hands-on: Build a Speech-to-Text Model Using TensorFlow<\/li><\/ul><h5>Module 4: Speech Recognition &amp; Text-to-Speech<\/h5><ul>\n<li>4.1 Fundamentals of Speech Recognition &amp; Phonetics<\/li><li>4.2 API-based ASR Solutions<\/li><li>4.3 Building Custom ASR Models with Transformers<\/li><li>4.4 Introduction to TTS &amp; Voice Cloning<\/li><li>4.5 Use Case: Automating Meeting Transcriptions with Google Speech-to-Text API<\/li><li>4.6 Case Study: Custom Transformer-based ASR Model for Multilingual Customer Support<\/li><li>4.7 Hands-on: Transcribe audio with an ASR API; generate speech from text<\/li><\/ul><h5>Module 5: Audio Enhancement &amp; Noise Reduction<\/h5><ul>\n<li>5.1 Common Audio Issues<\/li><li>5.2 AI-based Noise Filtering &amp; Enhancement<\/li><li>5.3 Use Cases: Enhancing Audio Quality for Remote Work Calls Using AI Noise Reduction<\/li><li>5.4 Case Study: Krisp&rsquo;s AI-powered Noise Cancellation in Podcast Production<\/li><li>5.5 Hands-on: Use Krisp or Adobe Enhance Speech to clean noisy audio<\/li><\/ul><h5>Module 6: Emotion &amp; Sentiment Detection from Audio<\/h5><ul>\n<li>6.1 Introduction to Emotion Detection<\/li><li>6.2 AI Models for Emotion Detection: RNNs, LSTMs, CNNs<\/li><li>6.3 Challenges: Bias, Multilingual Contexts, Reliability<\/li><li>6.4 Use Case: Enhancing Customer Service with Emotion Detection from Speech<\/li><li>6.5 Case Study: IBM Watson Tone Analyzer for Real-Time Emotion Recognition<\/li><li>6.6 Hands-on: Use IBM Watson Tone Analyzer or similar APIs to analyze speech samples<\/li><\/ul><h5>Module 7: Ethical and Privacy Considerations<\/h5><ul>\n<li>7.1 Deepfakes and Voice Cloning Risks<\/li><li>7.2 Privacy and Data Security<\/li><li>7.3 Bias and Fairness in Audio AI<\/li><li>7.4 Use Case: Implementing Ethical Voice Data Collection and Consent Management<\/li><li>7.5 Case Study: Addressing Bias and Privacy in Audio AI under GDPR Compliance<\/li><li>7.6 Hands-on: Detect fake audio clips; create an ethical AI checklist<\/li><\/ul><h5>Module 8: Advanced Applications &amp; Future Trends<\/h5><ul>\n<li>8.1 Sound Event Detection &amp; Classification<\/li><li>8.2 Audio Search and Indexing<\/li><li>8.3 Innovations: Multimodal AI, Edge Computing, 3D Audio<\/li><li>8.4 Emerging Careers in Audio AI<\/li><\/ul>","summary":"<p>Experience the power of AI in Audio&trade; to reinvent music production, elevate sound design, and craft immersive auditory experiences.<\/p>\n<ul>\n<li>Empower Audio Innovation with AI: Creative, Practical, Transformative<\/li><li>Beginner-Friendly Learning: Perfect for newcomers eager to explore AI-powered audio, covering essential concepts with ease<\/li><li>Comprehensive Skill Building: Includes speech processing, sound enhancement, voice synthesis, and real-world audio AI applications<\/li><li>Industry-Ready Expertise: Understand how AI is reshaping music, media, entertainment, and communication sectors<\/li><li>Hands-On Direction: Provides practical frameworks and guided exercises to help you create, analyse, and optimise audio using AI<\/li><\/ul>","objective_plain":"- Revolutionizes Sound Creation Learn how AI automates composition, mixing, and mastering, making audio production faster and more innovative.\n- Enhances Audio Quality Use AI tools to clean, balance, and optimize sound for professional-grade results across platforms.\n- Personalizes Listening Experiences Discover how AI tailors music and soundscapes to individual preferences in real time.\n- Bridges Creativity and Technology Combine artistic vision with AI-driven tools to create immersive, next-generation audio experiences.\n- Expands Career Opportunities Gain industry-ready skills for roles in music tech, sound design, gaming, and multimedia production.","essentials_plain":"Requires basic programming knowledge in Python, familiarity with audio signal processing and machine learning concepts, comfort with linear algebra and probability, and hands-on experience using DAWs or audio software. A creative and experimental mindset is essential.","audience_plain":"- Aspiring Audio Engineers \u2013 Ideal for those looking to integrate AI into sound design, mixing, and mastering.\n- Music Producers and Composers \u2013 Perfect for creators who want to use AI tools for music generation and adaptive composition.\n- Machine Learning Enthusiasts \u2013 Great for learners eager to apply ML models to audio analysis and synthesis.\n- Game and Media Developers \u2013 Suitable for professionals aiming to create intelligent, immersive, and responsive sound environments.\n- Tech Innovators and Researchers \u2013 Designed for individuals exploring cutting-edge AI applications in audio technology and digital sound innovation.","contents_plain":"Module 1: Introduction to AI and Sound\n\n\n- 1.1 What is AI?\n- 1.2 AI in Daily Life: Audio Examples\n- 1.3 Basics of Sound Waves, Amplitude, Frequency\n- 1.4 Digital Audio Fundamentals\nModule 2: Harnessing AI Across Audio Domains\n\n\n- 2.1 AI for Audio Enhancement and Restoration\n- 2.2 AI for Audio Accessibility and Personalization\n- 2.3 AI in Speech and Voice Technologies\n- 2.4 Popular Audio Libraries: Librosa, PyAudio\n- 2.5 Use Case:AI-Driven Real-Time Captioning and Translation for Live Events\n- 2.6 Case Study:Personalized Hearing Aid Adaptation Using AI and Smart Earbuds\n- 2.7 Hands-on: Voice Emotion Detection using Deepgram\u2019s Voice AI Platform\nModule 3: Machine Learning & AI for Audio\n\n\n- 3.1 Machine Learning Models for Audio Applications\n- 3.2 Deep Learning & Advanced AI Techniques for Audio\n- 3.3 Audio-Specific Architectures: CNNs, RNNs, Transformers\n- 3.4 Transfer Learning in Audio AI\n- 3.5 Use Case: Speech-to-Text Transcription for Medical Records\n- 3.6 Case Study: AI-powered Music Generation with Deep Learning\n- 3.7 Hands-on: Build a Speech-to-Text Model Using TensorFlow\nModule 4: Speech Recognition & Text-to-Speech\n\n\n- 4.1 Fundamentals of Speech Recognition & Phonetics\n- 4.2 API-based ASR Solutions\n- 4.3 Building Custom ASR Models with Transformers\n- 4.4 Introduction to TTS & Voice Cloning\n- 4.5 Use Case: Automating Meeting Transcriptions with Google Speech-to-Text API\n- 4.6 Case Study: Custom Transformer-based ASR Model for Multilingual Customer Support\n- 4.7 Hands-on: Transcribe audio with an ASR API; generate speech from text\nModule 5: Audio Enhancement & Noise Reduction\n\n\n- 5.1 Common Audio Issues\n- 5.2 AI-based Noise Filtering & Enhancement\n- 5.3 Use Cases: Enhancing Audio Quality for Remote Work Calls Using AI Noise Reduction\n- 5.4 Case Study: Krisp\u2019s AI-powered Noise Cancellation in Podcast Production\n- 5.5 Hands-on: Use Krisp or Adobe Enhance Speech to clean noisy audio\nModule 6: Emotion & Sentiment Detection from Audio\n\n\n- 6.1 Introduction to Emotion Detection\n- 6.2 AI Models for Emotion Detection: RNNs, LSTMs, CNNs\n- 6.3 Challenges: Bias, Multilingual Contexts, Reliability\n- 6.4 Use Case: Enhancing Customer Service with Emotion Detection from Speech\n- 6.5 Case Study: IBM Watson Tone Analyzer for Real-Time Emotion Recognition\n- 6.6 Hands-on: Use IBM Watson Tone Analyzer or similar APIs to analyze speech samples\nModule 7: Ethical and Privacy Considerations\n\n\n- 7.1 Deepfakes and Voice Cloning Risks\n- 7.2 Privacy and Data Security\n- 7.3 Bias and Fairness in Audio AI\n- 7.4 Use Case: Implementing Ethical Voice Data Collection and Consent Management\n- 7.5 Case Study: Addressing Bias and Privacy in Audio AI under GDPR Compliance\n- 7.6 Hands-on: Detect fake audio clips; create an ethical AI checklist\nModule 8: Advanced Applications & Future Trends\n\n\n- 8.1 Sound Event Detection & Classification\n- 8.2 Audio Search and Indexing\n- 8.3 Innovations: Multimodal AI, Edge Computing, 3D Audio\n- 8.4 Emerging Careers in Audio AI","summary_plain":"Experience the power of AI in Audio\u2122 to reinvent music production, elevate sound design, and craft immersive auditory experiences.\n\n\n- Empower Audio Innovation with AI: Creative, Practical, Transformative\n- Beginner-Friendly Learning: Perfect for newcomers eager to explore AI-powered audio, covering essential concepts with ease\n- Comprehensive Skill Building: Includes speech processing, sound enhancement, voice synthesis, and real-world audio AI applications\n- Industry-Ready Expertise: Understand how AI is reshaping music, media, entertainment, and communication sectors\n- Hands-On Direction: Provides practical frameworks and guided exercises to help you create, analyse, and optimise audio using AI","version":"1.0","duration":{"unit":"d","value":1,"formatted":"1 Tag"},"pricelist":{"List Price":{"DE":{"country":"DE","currency":"EUR","taxrate":19,"price":995},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":995},"SE":{"country":"SE","currency":"EUR","taxrate":25,"price":995},"SI":{"country":"SI","currency":"EUR","taxrate":20,"price":995},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":995}}},"lastchanged":"2026-04-01T15:53:11+02:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/json-course-schedule\/36656","source_lang":"de","source":"https:\/\/portal.flane.ch\/swisscom\/json-course\/aicerts-aaudio"}}