🎁Azure · AWS · Google — 1 free certification per learner, up to $400.Get the offer →
← Back

Training Neural TTS - Mastering Expert AI Speech Synthesis

Ref: BQS409
10 people max.
5250 € HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

Share in 2 clicks

EquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master advanced neural architectures of Neural TTS for professional certifying projects
  • Develop and fine-tune custom TTS models in the enterprise
  • Optimize latency and voice quality of Neural TTS systems
  • Implement efficient training pipelines with audio datasets
  • Evaluate TTS model performance via objective metrics
  • Deploy scalable Neural TTS services in certifying production
  • Integrate Neural TTS into enterprise voice applications

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Neural TTS Architectures: Dive into Tacotron and advanced seq2seq (PyTorch, LJSpeech datasets)

Dive into the expert foundations of seq2seq models for Neural TTS, install the dedicated PyTorch environment with professional audio datasets like LJSpeech and VCTK, code a complete first Tacotron 2 model, experiment with text-to-mel conversion, analyze attention alignments for natural voices, produce your first synthetic audios and iterate via personalized code review for immediate enterprise skills.

Module 2Neural TTS Voice Generators: WaveNet, FastSpeech and vocoders (TensorFlow, HiFi-GAN)

Explore neural vocoders like WaveNet and HiFi-GAN for unparalleled vocal realism, implement non-autoregressive FastSpeech 2 to accelerate inference, integrate these components into an end-to-end Neural TTS pipeline, test on concrete enterprise voice assistant cases, measure subjective MOS on your productions, optimize hyperparameters in real time and generate multilingual voices ready for professional deployment.

Module 3Neural TTS Training: Fine-tuning and custom datasets (Coqui TTS, audio augmentation)

Master fine-tuning of pre-trained models via Coqui TTS and Tortoise, prepare custom audio datasets with spectrogram augmentation and noise, launch distributed training sessions on GPU, monitor convergence with TensorBoard, apply phonetic alignment techniques for specific accents, produce a custom voice model for your ongoing enterprise project, document metrics for expert skills certification.

Module 4Neural TTS Optimization: Latency, quality and evaluation (PESQ, MCD metrics, auditory tools)

Optimize Neural TTS inference latency via distillation and quantization, evaluate quality with PESQ, MCD and subjective ABX tests, integrate tools like Mozilla TTS for rapid benchmarks, correct vocal artifacts on real AI app cases, implement real-time production monitoring, test multilingual and emotional robustness, deliver an actionable optimization report to boost your professional speech synthesis skills.

Module 5Neural TTS Deployment: Scalable services and integration (Docker, FastAPI, AWS/GCP cloud)

Deploy your Neural TTS model as a REST API via FastAPI and Docker, scale with Kubernetes on AWS or GCP cloud, integrate into DevOps pipelines for enterprise voice apps, manage security and real-time audio streaming, test load with 1000 req/s, monitor via Prometheus, finalize the ongoing project with presentation and live deployment, acquire certifying skills to excel in production voice AI.

Evaluation method

  • Expert multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous evaluation via practical exercises and ongoing project
  • Technical presentation of the deployed Neural TTS model in front of the trainer

Learning method

  • Courses led by an active expert trainer in Neural TTS
  • Practical exercises on real enterprise voice use cases
  • Progressive 5-day ongoing Neural TTS project
  • Complete course materials and source codes provided to each participant

Methods, materials and delivery

The Training Neural TTS - Mastering Expert AI Speech Synthesis program is delivered onsite or remote (blended-learning, e-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 Neural TTS - Mastering Expert AI Speech Synthesis 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 Neural TTS - Mastering Expert AI Speech Synthesis 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24 h · Industry-certified · Corporate funding
WhatsApp