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The Training Mastering Cloud Text-to-Speech: Advanced Synthetic Voice Creation training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Mastering Cloud Text-to-Speech: Advanced Synthetic Voice Creation training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Mastering Cloud Text-to-Speech: Advanced Synthetic Voice Creation training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Overview of speech synthesis uses; presentation of Cloud Text-to-Speech offers (Google, AWS, Azure); focus on creating human-like voices; hands-on with documentation and Cloud console; discovery of pricing and quotas.
Authentication via API keys and rights management; API call scripts (Python/Node.js); configuration: languages, voices, speeds, tones; feedback on limits (text length, audio outputs); handling common errors.
Development of an automated voice generation application; voice customization with SSML (Speech Synthesis Markup Language); batch processing of text files; integration with web applications; mass production of audio files; key points for optimizing playback and sound quality.
Target audience
Developers, AI engineers, IT professionals, and project managers wishing to integrate or optimize voice solutions in their applications
Prerequisites
Basic development knowledge (Python or Node.js), familiarity with web APIs
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