Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
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Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training: Understand and Master ESPnet: Develop Speech Recognition Systems Using Deep Learning
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Discover the architecture and ecosystem of ESPnet
- Understand and manipulate speech recognition and speech synthesis models
- Configure, train, and evaluate an automatic speech recognition (ASR) model with ESPnet
- Perform automated speech synthesis (TTS) using ESPnet modules
- Master audio preprocessing pipelines, data augmentation, and decoding
- Deploy and customize ESPnet for different datasets and languages
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without mastery of Deep Learning speech recognition systems via ESPnet, 65 % of voice AI projects fail at the deployment stage, generating an error rate above 25 %.
This produces direct losses of 80 000 € per incident from extended R&D time and correction costs, with timelines multiplied by 2,5 on average.
Your company then loses competitiveness in markets growing 40 % per year, while your career stalls amid a shortage of 200 000 audio AI experts by 2025.
Each quarter without these skills exposes you to missed opportunities worth millions.
Program
Module 1Introduction to Speech Recognition and Getting Started with ESPnet
Overview of modern speech recognition systems; Presentation of the open-source ESPnet architecture (ASR, ST, TTS, diarization); Installation and environment configuration; Introduction to hardware and software prerequisites; Exploration of ESPnet documentation and community; First run of a demo script on a small dataset.
Module 2Data Processing and ASR Model Training with ESPnet
Preparation and cleaning of audio and text corpora; Formatting techniques, feature extraction, data augmentation; Exploration and configuration of training scripts; Launching training on a corpus (Librispeech, Common Voice, etc.); Monitoring progress and adjusting hyperparameters; Introduction to evaluation techniques (WER, CER).
Module 3Speech Synthesis, Advanced Evaluation, and ESPnet Customization
Introduction to speech synthesis (TTS) with ESPnet; Training a TTS model; Use cases: generation of custom voices; Analysis of logs and metrics; Integration of ESPnet into existing workflows; Using the ESPnet API for deployment; Best practices, optimization, and multilingual support; Practical workshops on participants' datasets.
Evaluation method
- Practical thread projects: training an ASR model then TTS on a provided or personal dataset
- Final MCQ to validate learning outcomes
- Error analysis and personalized recommendations
Learning method
- Interactive lectures
- Real-world case studies
- Hands-on sessions: model configuration, training, and evaluation
- Access to all course materials and customized ESPnet scripts
Methods, materials and delivery
The Training: Understand and Master ESPnet: Develop Speech Recognition Systems Using Deep Learning program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training: Understand and Master ESPnet: Develop Speech Recognition Systems Using Deep Learning program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training: Understand and Master ESPnet: Develop Speech Recognition Systems Using Deep Learning program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training: Understand and Master ESPnet: Develop Speech Recognition Systems Using Deep Learning training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training: Understand and Master ESPnet: Develop Speech Recognition Systems Using Deep Learning training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of the Python language, solid knowledge in Deep Learning and audio signal processing, Linux environment
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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