AI+ Audio™

Price
Net: 397,00 €
VAT.: 75,43 €

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

Request a consultation Add to favorites Print as PDF

A new era of digital soundscapes is emerging, characterized by AI-supported production and smart audio workflows. Modern tools transform ideas into precise sound solutions and create space for automated processes, creative work, and high-quality results.

Key topics

AI-based audio processing and voice modeling.
Automated sound generation and mixing.
Workflow optimization through intelligent tools.
Trends in synthetic voices, audio agents, and adaptive sound design.

Prerequisites
Basic understanding of digital media and interest in AI-supported audio.

Target audience
Professionals from the media, content, technology, and creative industries, as well as individuals who want to make targeted use of AI sound technologies.

A future-oriented way to design modern audio ecosystems, set new production standards, and use AI for precise, scalable sound solutions.

Print as PDF

course content

Introduction to AI and Sound

What is AI?
AI in everyday life: Audio examples
Basics of sound waves, amplitude, and frequency
Basics of digital audio technology

Use of AI in various audio fields

AI for audio enhancement and restoration
AI for audio accessibility and personalization
AI in speech and voice technologies
Popular audio libraries: Librosa, PyAudio
Use case: AI-powered real-time captioning and translation for live events
Case study: Personalized hearing aid fitting using AI and smart earbuds
Practical application: Recognizing emotions in the voice using Deepgram's speech AI platform

Machine learning and AI for audio

Machine learning models for audio applications
Deep learning and advanced AI techniques for audio
Audio-specific architectures: CNNs, RNNs, transformers
Transfer learning in audio AI
Use case: Speech-to-text transcription for medical records
Case study: AI-assisted music generation with deep learning
Practical exercise: Creating a speech-to-text model with TensorFlow

Speech recognition and text-to-speech

Fundamentals of speech recognition and phonetics
API-based ASR solutions
Creating custom ASR models with transformers
Introduction to TTS and voice cloning
Use case: Automating meeting minutes with the Google Speech-to-Text API
Case study: Custom Transformer-based ASR model for multilingual customer support
Practical exercise: Transcribing audio with an ASR API; generating speech from text

Audio enhancement and noise reduction

Common audio problems
AI-based noise filtering and enhancement
Use cases: Improving audio quality for remote work calls using AI noise reduction
Case study: Krisp's AI-powered noise reduction in podcast production
Practical application: Clean up noisy audio with Krisp or Adobe Enhance Speech.

Emotion and mood recognition from audio

Introduction to emotion recognition
AI models for emotion recognition: RNNs, LSTMs, CNNs
Challenges: Bias, multilingual contexts, reliability
Use case: Improving customer service through emotion recognition from speech
Case study: IBM Watson Tone Analyzer for real-time emotion recognition
Practical exercise: Analysis of speech samples with IBM Watson Tone Analyzer or similar APIs.

Ethical and data protection considerations

Risks posed by deepfakes and voice cloning
Data protection and data security
Bias and fairness in audio AI
Use case: Implementing ethical voice data collection and consent management
Case study: Dealing with bias and data protection in audio AI in compliance with the GDPR
Practical exercise: Detecting fake audio clips; creating a checklist for ethical AI

Advanced applications and future trends

Noise detection and classification
Audio search and indexing
Innovations: multimodal AI, edge computing, 3D audio
New professions in the field of audio AI

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What does AI+ Audio™ convey?

Practical knowledge about voice AI, speech synthesis, AI-supported audio processing, and sound production is conveyed in a compact, understandable, and future-proof manner.

Who benefits from AI+ Audio™?

Ideal for media professionals, content creators, marketing teams, or creatives who want to use AI for audio production—without a recording studio or specialized knowledge.

Why is the course also suitable for beginners?

It guides you step by step through tools, basics, and workflows. Complex terms are explained in an understandable way. No prior knowledge is necessary—just get started.

What sets AI+ Audio™ apart from other formats?

Focus on creative practice rather than technical theory. Combines expertise in AI, audio, and communication with tools that can be used immediately.

What tools are covered in AI+ Audio™?

Modern AI tools such as TensorFlow Audio, OpenAI Jukebox, Google Magenta, AIVA, Wav2Vec, SpeechBrain, and AudioLDM are used. These are supplemented by plugins and software such as Adobe Podcast AI, Audacity AI, FL Studio, Logic Pro, and Spotify Audio Analysis.

What makes AI audio particularly efficient?

Automated speech production saves time and money, reduces production costs, and enables new formats—such as multilingual content at the touch of a button.

How can what you have learned be used in your job?

AI audio optimizes presentations, campaigns, training sessions, and podcasts—anywhere where people speak, smart technology increases the impact.

Where is the field of AI audio heading?

Artificial intelligence will continue to change voice, music, and sound. Those who understand the basics will remain flexible, innovative, and technologically compatible.

Do you have any further questions? Please contact us.

Select your nearest center: *

0800 258 258 055

website@newhorizons.de

First Name *

Surname *

Telephone Number *

Postcode *

E-Mail *

I would like to receive funding for further training – I am currently: *

Company Name

Your message

I hereby confirm that I have taken note of the privacy notice. *