Full Stack Text-to-Speech (TTS) Career Path

Become a Text-to-Speech specialist in just 4 months through intensive hands-on training and learn how to build your own TTS model from scratch.
20 Videos
No Coding Experience Required
45 Assignments
Self Paced

About This Course

Dive into the powerful world of data manipulation with Python libraries for data science like NumPy and Pandas. Explore how to efficiently work with multidimensional arrays, perform data wrangling operations, and analyze large datasets. These skills are crucial for anyone aspiring to become a data scientist, data analyst, or machine learning engineer.
What This Program Has To Offer
Get industry specific training
Easy EMI option
7 day, no questions asked money back policy
30 day Pause
Dedicated student support
1:1 mentorship by industry experts
Get practical training by working on actual banking use cases
Learn through industry-approved learning frameworks
Learn Data Manipulation & cleaning using Excel, SQL and Python
Statistical analysis
Data Visualization using Tableau, Power BI, Matplotlib and Seaborn
Learn Python for data analysis & automation
Database Management 
Machine Learning
Learn 15+ problem solving frameworks for finance
Be confident to tackle any problem at your job
No prior coding experience required
Students with any graduate degree welcome
Basic computer literacy
Fundamental math skills
Curiosity and eagerness to learn
What You'll Learn
Core Text-to-Speech Skills
  1. Understanding Text-to-Speech Technology: Grasp foundational concepts and applications of TTS in various industries..
  2. Speech Synthesis Techniques:Learn different methods of speech synthesis, including concatenative, formant, parametric, and neural network-based synthesis.
  3. Working with TTS Libraries and Tools:Get hands-on experience with popular TTS libraries like Google Text-to-Speech and Mozilla TTS, including setup and implementation.
  4. Building and Training TTS Systems:Implement and train TTS models, such as Tacotron, to generate high-quality speech from text.
  5. Enhancing TTS Output Quality:Apply post-processing techniques and control speech characteristics to improve the naturalness and engagement of synthesized speech.
  6. Voice Cloning and Personalization:Explore techniques for cloning voices and customizing TTS systems to match specific user needs or preference.
Tools and Technologies
  1. Google Text-to-Speech: A popular TTS library for converting text into speech.
  2. Mozilla TTS: An open-source TTS library for high-quality speech synthesis
  3. Tacotron: Deep learning architectures (Tacotron and Tacotron 2) for advanced TTS applications.
  4. TensorFlow: A powerful framework for training and deploying deep learning models, including TTS systems.
  5. Keras: A high-level neural networks API for building and training deep learning models.
  6. PyTorch: An open-source machine learning library used for applications such as computer vision and natural language processing, including TTS.
  7. Librosa: A Python package for analyzing and processing audio and music.
  8. WaveGlow: A flow-based model for generating high-quality speech.
  9. Festival: A general multi-lingual speech synthesis system offering various options for TTS.
  10. SoX (Sound eXchange): A cross-platform command-line utility for processing audio files.
Essential communication and business skills relevant to the text-to-speech (TTS) domain:
  1. Stakeholder Communication: Clearly articulate the benefits, capabilities, and potential limitations of TTS technology to stakeholders, ensuring alignment with business objectives and user needs.
  2. Technical Documentation: Develop thorough and accessible documentation for TTS models, processes, and implementation details to support team understanding and collaboration.
  3. Project Management: Plan, execute, and monitor TTS projects efficiently, ensuring they are delivered on time, within scope, and meet business goals.
  4. Data Presentation: Present TTS outputs and performance metrics in a clear and compelling manner to non-technical stakeholders, aiding in decision-making and showcasing value.
  5. Cross-Functional Collaboration: Work effectively with linguists, audio engineers, data scientists, and business teams to integrate TTS solutions seamlessly into products and services.
Business Problem Solving and Design Thinking for TTS
  1. Analyze and define user requirements to tailor TTS solutions for specific applications, such as accessibility tools and customer service bots.
  2. Architect scalable TTS solutions that can handle varying loads and growing demands using cloud-based services and advanced TTS models.
  3. Implement strategies to enhance the performance and naturalness of synthesized speech, focusing on prosody, intonation, and clarity.
  4. Develop secure TTS systems by protecting sensitive user data and ensuring compliance with privacy regulations.
  5. Apply design thinking principles to create innovative and user-centric TTS applications, incorporating feedback loops for continuous improvement.
Curriculum Designed For
Banking & Finance
Module 1: Introduction to Text-to-Speech Technology
2 Lectures

Gain a foundational understanding of text-to-speech (TTS) technology and its applications in various industries. Learn the basic terminologies and concepts essential for working with TTS systems.

  • 1.1 What is Text-to-Speech?:
    • Understand the core concepts and objectives of TTS, including applications in accessibility (e.g., screen readers), automotive (e.g., voice navigation), and customer service (e.g., interactive voice response systems).
  • 1.2 Basic Terminologies:
    • learn about synthesis, prosody, phonemes, and how they form the basis of TTS tasks.
Module 2: Understanding Speech Synthesis
3 Lectures

Explore the essential components and techniques for converting text into speech.

  • 1.1 Text Processing:
    • Dive into text processing techniques such as tokenization and normalization, which are crucial for accurate speech synthesis.
  • 1.2 Phonetics and Phonology:
    • Understand the basics of phonetics and phonology to effectively translate text into spoken words.
  • 1.3 Prosody and Intonation:
    • Learn about the importance of prosody and intonation in making synthesized speech sound natural and human-like.
Module 3: Speech Synthesis Techniques
4 Lectures

Learn various methods of speech synthesis and their applications.

  • 1.1 Concatenative Synthesis:
    • Explore how pre-recoreded speech units are concatenated to form complete utterances.
  • 1.2 Formant Synthesis:
  •               Understand how speech is generated by modeling the human vocal tract.
  • 1.3 Parametric Synthesis:
    • Learn about the statistical modeling of speech sounds.
  • 1.4 Neural Network-Based Synthesis:
    • Delve into modern techniques like neural TTS models for high-quality speech synthesis.
Module 4: Introduction to TTS Libraries and Tools
2 Lectures

Get hands-on with popular TTS libraries and tools.

  • 1.1 Overview of TTS Libraries:
    • Learn about Google Text-to-Speech, Mozilla TTS, and other popular libraries.
  • 1.2 Installation and Setup:
    • Set up your development environment to start working with TTS tools.
Module 5: Building a Simple TTS System
3 Lectures

Implement a basic TTS system using the knowledge and tools acquired.

  • 1.1 Text Preprocessing:
    • Prepare text data for synthesis.
  • 1.2 Selecting Synthesis Technique:
    • Choose the appropriate synthesis method for your project.
  • 1.3 Generating Speech from Text:
    • Combine all components to create a functional TTS system.
Module 6: Understanding Voice Models
3 Lectures

Explore different types of voice models and their training processes.

  • 1.1 Types of Voice Models:
    • Learn about male, female, robotic, and other voice models.
  • 1.2 Training Voice Models:
    • Understand the process of training voice models for high-quality speech synthesis.
  • 1.3 Voice Quality and Naturalness:
    • Learn techniques to improve the naturalness of synthesized speech.
Module 7: Deep Learning for TTS- Dive into advanced architectures for high-quality speech synthesis.
3 Lectures

Utilize deep learning techniques to enhance TTS systems.

  • 1.1 Introduction to Deep Learning for TTS:
    • Understand the basics of using deep learning in TTS.
  • 1.2 Sequence-to-Sequence Models:
    • Learn about models that convert sequences of text to sequences of speech.
  • 1.3 Tacotron and Tacotron 2 Architectures:
    • Dive into advanced architecture for high-quality speech synthesis.
Module 8: Hands-on Project: Building a TTS System with Tacotron
3 Lectures

Implement a Tacotron model for a practical TTS project.

  • 1.1Implementing Tacotron Model:
    • Set up and implement a Tacotron model.
  • 1.2 Training a TTS Model:
    • Train the model on a dataset to produce speech.
  • 1.3 Generating Speech:
    • Use the trained model to convert text inputs into speech outputs.
Case Studies

Industry Case Studies You Will Work On

Advanced Fraud Detection Techniques in Banking
Learn the skills and knowledge to detect fraudulent activities in credit card transactions, ensuring financial security for banking institutions and customers.
Skills learned:
Data Preprocessing
Feature Engineering
Model Evaluation
Anomaly Detection Techniques
Operational Efficiency Optimization in Banking
Develop the tools and techniques to forecast call volumes in banking call centers, improving resource allocation and enhancing customer service efficiency.
Skills learned:
Time Series Forecasting
Model Evaluation
Operational Optimization Techniques
Customer Segmentation Strategies for Banking Marketing
Learn how to segment bank customers based on their behavior and demographics to optimize marketing campaigns for targeted customer engagement and retention.
Skills learned:
Data Visualization
Clustering Algorithms
Customer Profiling techniques
Sales Prediction and Optimization in Banking
Learn how to predict sales performance and optimize sales strategies for banking products and services that drive revenue growth and customer acquisition.
Skills learned:
Predictive Modeling
Sales forecasting
Model Interpretation Techniques
Real-time ATM Fraud Detection in Banking
Equip yourself with the skills to detect fraudulent activities in ATM transactions, safeguarding banking institutions and customers from financial losses.
Skills learned:
Data Preprocessing
Model Evaluation
Anomaly Detection Techniques
Predictive Modeling for Loan Default Prediction in Banking
Predict loan default probabilities that enable banks to assess credit risk and make informed lending decisions.
Skills learned:
Feature engineering
Risk Assessment
Model Evaluation Techniques
Predictive Analytics for Customer Lifetime Value Estimation
Learn how to estimate the lifetime value of bank customers, facilitating targeted marketing strategies and personalized customer experiences.
Skills learned:
Customer Segmentation
Predictive modeling
Model Evaluation
Personalized Cross-Selling Recommendations in Banking
Gain the skills to build recommendation systems for cross-selling banking products and services based on customer behavior and preferences.
Skills learned:
Collaborative Filtering
Recommendation Algorithms
Customer Profiling Techniques
Machine Learning for Mortgage Risk Assessment in Banking
Learn the tools to assess mortgage loan risks, enabling banks to make informed lending decisions and manage credit risk effectively.
Skills learned:
Feature Selection
Risk Modeling
Credit Scoring Techniques
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Make A Life-Changing Career Choice

IN-DEMAND CAREER
45%
Growth in demand for Data Analysts in the next 5 years
MASSIVE JOB OPENINGS
1M +
Job openings and counting for Data Analysts worldwide.
BIGGEST GROWING INDUSTRY
$349.6 Billion
Amount industry is set to grow by 2030
HIGH ENTRY- LEVEL SALARY
₹8-14 LPA+
Current average CTC for entry-level Data Analysts in India.
Don't Just Learn. Specialize.
India's only course with industry specialization in the domain of your choice.
50+
Industry case studies
10+
Problem solving frameworks
Experience 360° deep specialized learning
50+
Assignments
10+
Industry Projects
100+
Hours of Leanring
Learn with Ai
Our program incorporates modern Gen AI based workflows for data science so that you are equipped with the tools of the future.
Made for working professionals
Enjoy flexible learning options. Go at your own pace or learn through live classes with industry experts.
Placement support from dedicated counselors
Mock interviews with senior industry leaders
Craft the perfect resume
Access our network of partner companies

Land Your Dream Job With
Full Placement Support

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Craft a Winning Resume

Get expert help building a resume that showcases your data skills.
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Nail Your Interview

Practise mock interviews with our experienced mentors to ace the recruitment process. 
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Company Screening & Selection

Benefit from our extensive industry network and connections to unlock exciting career opportunities.
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The team was thrilled with the quality of instruction provided. We have requests from teams from other departments to undertake the training as well. 
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Avinash Purohit
DGM, Canara Bank
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Is This Bootcamp Right For You?
Are you looking for a career change?
Do you want to switch from your current job to a more lucrative career as a data analyst in finance ?
Do you want a promotion?
Are you a banking or finance professional looking to upgrade your career with the most sought after skill in today’s market - data analytics ?
Are you a beginner to data analytics?
Are you a recent graduate looking for a comprehensive program to teach you everything you need to know to launch your career as a data analyst in the financial sector ?
If you answered "Yes" to any of these questions, SkillCamper's Data Analyst Bootcamp is the perfect fit for you!

What makes us different

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SkillCamper
16 weeks course
1:1 Mentorship
Access to industry experts
Live classes with experts
Dedicated academic counselors to ensure you complete course requirements
15-20 hours of time commitment per week - designed for working professionals
Other Bootcamps &Degree Programs
20-60 weeks course
1:1 support may or may not be available
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“The mentors at SkillCamper teach very well, making all the concepts easy to understand. ”

Their teaching style is clear and effective, and I am grateful for their guidance. I hope they continue this excellent approach in the future.
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Ravi Prakash
Automation Test Analyst

“SkillCamper's Data Analytics Bootcamp is fantastic. ”

I had tried learning some data analytics tools through free platforms, but it wasn't enough to get a good opportunity. SkillCamper goes beyond just teaching tools; they focus on domain expertise, which is essential today. The course material is very practical, and I feel like I'm gaining valuable skills. Highly recommended!
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Sanjay Shah
Graduate in BSC-IT

“I'm doing the Data Analytics Bootcamp at SkillCamper, and it's great. ”

Even though I don't have a tech background, the mentors explain things in a simple way that I can understand. The projects and the friendly community make learning fun and helpful. I highly recommend SkillCamper for anyone new to data analytics!
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Ashish Lodhe
Graduate in BSC-IT

“The course is going well and the mentors are very supportive. ”

As a student from a non-tech background, I find their teaching style easy to follow. They explain everything in simple terms and help with any questions. I highly recommend SkillCamper for anyone starting from scratch! 
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Suman M-
Graduate in BSC-IT
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Testimonials

Alumni Success Stories

From career switchers to college grads, we have helped a diverse range of learners kickstart & progress rapidly in their data science careers. 

Live Interaction

Self paced

Fee Structure

₹ 75,000

₹ 50,000

Curriculum & Course Materials

Live coding environment

AI-based learning platform

100+ hours of instruction

20+ assignments

10+ banking & finance case studies

Banking & finance domain focused curriculum

Capstone projects

Live Classes

Limited

Flexible study options

Cancel anytime in first 7 days, full refund

Mentors

15+ hours of sessions with industry veterans & experts

Personalized mentorship by course instructors

Unlimited 1:1 doubt solving sessions

Career Support

Personalized placement assistance

1:1 mock interviews with industry experts

Soft-skills training module

Essential digital tools for digital workplace module

Interview preparation module

Masterclass on resume building & LinkedIn

Access to curated companies & jobs

Live Interaction

Self paced

Fee Structure

Curriculum & Course Materials

Live coding environment

AI-based learning platform

100+ hours of instruction

20+ assignments

10+ banking & finance case studies

Banking & finance domain focused curriculum

Capstone projects

Live Classes

Limited

Flexible study options

Cancel anytime in first 7 days, full refund

Mentors

15+ hours of sessions with industry veterans & experts

Personalized mentorship by course instructors

Unlimited 1:1 doubt solving sessions

Career Support

Personalized placement assistance

1:1 mock interviews with industry experts

Soft-skills training module

Essential digital tools for digital workplace module

Interview preparation module

Masterclass on resume building & LinkedIn

Access to curated companies & jobs

Frequently Asked Questions

What technologies will I learn in the Full Stack Text-to-Speech Bootcamp?
You’ll gain hands-on experience with key technologies like Tacotron, TensorFlow, PyTorch, and various TTS libraries for speech synthesis. These tools are widely used to create natural-sounding text-to-speech systems, preparing you to build your own models from scratch.
Do I need any prior experience to join the Text-to-Speech Bootcamp?
No prior experience is required. This course is designed for beginners. You’ll start with the fundamentals of speech synthesis and progress through advanced topics like deep learning for TTS. The course is structured to ensure that you build your skills step by step.
How long is the bootcamp, and can I learn at my own pace?
The bootcamp lasts 4 months, and it offers flexible learning options. You can either learn at your own pace with recorded content or attend live classes with industry experts. The course requires 15–20 hours per week, making it ideal for working professionals looking for flexibility.
What will I learn during the TTS Bootcamp?
You’ll learn how to build and fine-tune TTS models, working with speech synthesis techniques, deep learning architectures, and voice models. The course covers everything from setting up a basic TTS system to building advanced TTS solutions using models like Tacotron.
Will I have access to the course materials after completing the bootcamp?
Yes, you’ll have lifetime access to all course materials, including video lessons, recorded live sessions, and project files. This allows you to revisit the content and continue practising at your convenience, even after finishing the bootcamp.
What kind of career support will I receive during and after the bootcamp?
You’ll receive personalised 1:1 mentorship, mock interviews with industry professionals, and assistance with resume building. You’ll also have access to our network of hiring partners, giving you direct connections to job opportunities in the TTS and AI industries.
What makes this Text-to-Speech Bootcamp unique?
This bootcamp offers a blend of real-world projects and hands-on experience with cutting-edge TTS technology. You’ll receive personalised mentorship, flexible learning options, and a 7-day money-back guarantee, allowing you to explore the course risk-free.
What is the cost of the bootcamp, and are there flexible payment options?
The bootcamp costs ₹75,000, with easy EMI options to make the course more affordable. You can also try the program risk-free with our 7-day no-questions-asked money-back guarantee, ensuring that you only proceed if you feel confident.
What types of projects will I work on during the bootcamp?
You’ll work on practical projects such as building a TTS model using Tacotron and applying deep learning techniques to speech synthesis. These projects will help you build a strong portfolio and give you the hands-on experience needed to excel in TTS technology.
How will this bootcamp help me start a career in text-to-speech technology?
By the end of the bootcamp, you’ll have developed a portfolio of TTS projects that demonstrate your ability to build speech synthesis systems from scratch. Our career support, including mock interviews and job placement assistance, will help you confidently pursue a career in the fast-growing field of TTS and AI.
I don’t have a tech background; can I still take this course?
Yes, this course is structured for beginners, and no previous tech experience is required.
What type of job support do you provide after completing the course?
We offer comprehensive placement assistance, including resume building, mock interviews, and leveraging our network of industry partners.
How do you prepare students for the job market?
We equip students with industry-relevant skills, help craft winning resumes, and provide mock interview practice with experienced mentors.
Do you guarantee a job after completing the course?
While we do not guarantee a job, we provide extensive support to help you become highly competitive in the job market.
Can you help me find a job in any specific industry?
Our job assistance is generalized; we prepare you for a variety of roles in the data science field rather than focusing on specific industries.
What is the cost of the Data Science bootcamp?
The cost varies depending on the program. Our full bootcamp is priced between ₹50,000 and ₹75,000, depending on whether you choose self-paced or live instruction.
 Are scholarships available for the courses?
Yes, we offer scholarships that can cover up to 70% of the tuition fees, making our courses more accessible to a wider range of students.
What is included in the course fee?
The fee includes access to all course materials, live coding sessions, AI-based learning platform, case studies, capstone projects, and mentorship from industry experts.
What payment options are available for the course fees?
We offer flexible payment options, including easy EMIs, and you can cancel anytime in the first 7 days for a full refund.
Is financial aid or other support available aside from scholarships?
While our primary financial support is through scholarships, our enrollment advisors can also assist you with payment plans and financing options to help manage the cost of your education.

Ready to become a Data Scientist that industry loves to hire? Apply Now. 

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