From voice cloning and noise suppression to emotion detection and speech synthesis, Audio AI is reshaping how machines hear — and how people are heard.
These instructor-led courses dive into the technologies powering intelligent sound: audio signal processing, deep learning architectures, and real-time voice interaction systems.
Participants can join online live training via interactive remote desktop, or opt for onsite sessions in Helsinki, where each hands-on lab tackles real-world challenges like echo removal, voice detection, or audio synthesis.
From in-house R&D labs to product innovation teams, organizations in Helsinki can host onsite training at their own location or collaborate face-to-face at a NobleProg training center built for sonic experimentation.
Also known as Voice AI, Intelligent Audio, or Speech AI, this training is ideal for developers, product teams, and researchers pushing the boundaries of machine listening.
Explore the ethical, legal, and privacy challenges of audio AI in this beginner-level training in Helsinki. Participants will learn to identify privacy risks, evaluate GDPR compliance, and assess ethical concerns in surveillance and bias to support responsible procurement and policy implementation.
Instructor-led training in Helsinki covering ML-based audio classification and event detection. Learn to preprocess audio, build CNNs, and deploy models for real-time processing, enabling practical applications in public safety, smart cities, and industrial monitoring for data professionals.
This instructor-led, live training in Helsinki covers the core concepts and hands-on fundamentals of AI-powered audio enhancement and noise reduction, helping participants build practical skills that apply directly to real-world conferencing, broadcast, and surveillance workflows.
This hands-on training in Helsinki equips developers to design, build, and deploy intelligent voice assistants using Dialogflow, Alexa, and Rasa. Participants will master conversational UX, integrate back-end APIs, and optimize interactions for real-world applications.
This 14-hour instructor-led course in Helsinki covers voice cloning and TTS systems using AI. Ideal for intermediate professionals, it focuses on practical skills in neural synthesis, integrating commercial and open-source platforms, and managing ethical data practices for real-world applications.
This live training in Helsinki teaches intermediate professionals to implement and optimize AI speech recognition. Participants learn to evaluate APIs, handle multilingual challenges, and build transcription workflows. The course covers models, preprocessing, and real-world labs.
This beginner-friendly training in Helsinki introduces Audio AI, covering speech recognition, transcription, and audio classification. Participants will explore real-world use cases, evaluate leading platforms, and gain hands-on experience with AI tools for business and communication applications.
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