Covering everything from voice cloning and noise suppression to emotion detection and speech synthesis, Audio AI is fundamentally transforming how machines perceive sound and how humans are understood.
These instructor-led courses explore the technologies driving intelligent audio, including audio signal processing, deep learning architectures, and real-time voice interaction systems.
Participants can access online live training through an interactive remote desktop, or choose onsite sessions in Gaia, where each hands-on lab addresses practical challenges such as echo removal, voice detection, and audio synthesis.
Serving in-house R&D labs and product innovation teams, organizations in Gaia can host onsite training at their own premises or engage in face-to-face collaboration at a NobleProg training center designed for sonic experimentation.
Also recognized as Voice AI, Intelligent Audio, or Speech AI, this training is perfectly suited for developers, product teams, and researchers seeking to advance the limits of machine listening.
NobleProg – Your Local Training Provider
Holiday Inn Porto - Gaia
220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal
From Porto by Metro
If you're coming from Porto city centre:
Take the Metro Line D (yellow line) toward Vila d’Este.
Get off at João de Deus.
From João de Deus, walk about 13 minutes to: Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.
From Vila Nova de Gaia train station
If by “local train station” you mean Vila Nova de Gaia-Devesas:
The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
You can therefore walk directly rather than taking the metro.
In this beginner-level training in Gaia, delve into the ethical, legal, and privacy challenges of audio AI. Participants will learn to pinpoint privacy risks, assess GDPR compliance, and examine ethical concerns regarding surveillance and bias, thereby supporting responsible procurement and policy execution.
Instructor-led training in Gaia focusing on ML-driven audio classification and event detection. Participants will learn to preprocess audio, construct CNNs, and deploy models for real-time processing, facilitating practical implementations in public safety, smart cities, and industrial monitoring for data professionals.
This instructor-led, live training in Gaia covers the essential principles and practical skills of AI-powered audio enhancement and noise reduction, enabling participants to develop competencies directly applicable to real-world conferencing, broadcast, and surveillance workflows.
This hands-on training in Gaia empowers developers to design, build, and deploy intelligent voice assistants using Dialogflow, Alexa, and Rasa. Participants will gain mastery in conversational UX, learn to integrate back-end APIs, and optimise interactions for real-world applications.
Spanning 14 hours, this instructor-led course in Gaia explores voice cloning and TTS systems leveraging AI. Tailored for intermediate professionals, it emphasises practical competencies in neural synthesis, the integration of commercial and open-source platforms, and the ethical management of data for real-world applications.
This live workshop on Gaia empowers intermediate professionals to deploy and optimise AI speech recognition. Learners gain the skills to evaluate APIs, manage multilingual nuances, and construct transcription workflows. The curriculum encompasses model architecture, preprocessing, and practical, real-world laboratory exercises.
This beginner-friendly Gaia training introduces the fundamentals of Audio AI, including speech recognition, transcription, and audio classification. Learners will investigate real-world use cases, evaluate leading platforms, and gain practical experience with AI tools designed for business and communication applications.
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