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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training: Mastering Cloud Speech-to-Text - Professional Automated Voice Transcription 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 Speech-to-Text - Professional Automated Voice Transcription 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 Speech-to-Text - Professional Automated Voice Transcription 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 existing solutions; Architecture of Cloud Speech-to-Text; Main features; Setting up a Google Cloud project; Getting started with the API (creating an account, managing quotas, authentication). Introduction to audio datasets and linguistic diversity. Concrete case studies in various sectors (healthcare, telecoms, digital assistance).
Using Python to interact with the API; Transcription of audio files in batch and real-time streaming; Managing audio formats (WAV, FLAC, MP3…); Advanced settings (language selection, context adaptation, business vocabulary adaptation); Noise detection and management; Precision optimization strategies. Practical examples with different accents and dialects.
Integrating automatic transcription into a web or mobile application; Large-scale transcription automation and processing pipeline (Google Cloud Functions, Pub/Sub, Dataflow); Security, privacy, and access rights management; GDPR best practices for voice data; Usage monitoring, alerts management, and costs. Optional: combined use with other APIs (translation, sentiment analysis, video indexing).
Target audience
Developers, data scientists, system engineers, and digital project managers wishing to integrate automatic speech recognition into their applications or workflows.
Prerequisites
Good understanding of computer science principles. Knowledge of programming (Python, Node.js, or equivalent) is recommended.
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