Premier Text-To-Speech Data Solutions

Experience unparalleled clarity and fluency in every interaction with our expertly curated TTS data sets, tailored for global languages.


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Custom TTS Solutions for Your Unique Requirements

We offer a diverse range of services that cater to AI technologies and machine learning. Among these services, we specialize in text-to-speech (TTS) data collection and evaluation. 

Our team of experts diligently evaluates your system, prioritizing accuracy and natural-sounding utterances. From studio-quality recordings to everyday scenarios, our TTS technology captures the nuances of languages and dialects from around the world. Our seasoned project coordinators are dedicated to ensuring a seamless process from start to finish.

Custom Tts Solutions

Our TTS Service or Solutions

From studio-grade recordings to everyday scenarios, our TTS technology captures the essence of languages and dialects worldwide. Our TTS Solutions include:

Data Collection


Capturing the world's voices, we gather TTS data across languages, accents, and dialects to meet diverse needs.

Data Transcription/ Translation

Converting speech to text with precision, we transcribe and translate to ensure your content resonates globally.


Assuring excellence, we meticulously evaluate TTS data, upholding high standards for clarity and naturalness in any language.

TTS Components

As we examine Text-to-Speech (TTS) technology, we uncover its core elements, each a vital cog in converting written text into spoken words. These include:

Text Analysis

Breaks down raw text into understandable elements for the system.

Text Normalization

Transforms irregular words and numbers into spoken equivalents (like "1995" to "nineteen ninety-five").

Word Segmentation

Distinguishes separate words, which varies in complexity across languages.

POS Tagging

Identifies parts of speech, crucial for correct pronunciation in varying contexts.

Prosody Prediction

Adjusts rhythm and intonation to make speech sound natural.

Grapheme to Phoneme Conversion

Maps written letters to spoken sounds, essential for accurate speech synthesis.

Diverse Voices, Ready for Integration

Select from a rich tapestry of TTS voice samples, perfect for many applications and industries.

No. Hours: 2,579

No. Hours: 1,205

No. Hours: 2,867

No. Hours: 2,335

Text-To-Speech (TTS) Use-Cases

Text-to-speech (TTS) technologies bridge human interaction and digital convenience. This section explores TTS use cases, illustrating its transformative role across industries.

Call Center Transcriptions

Converts customer-agent conversations into text for records and analysis.

Meeting Transcriptions

Transcribes spoken dialogue in meetings to text for easy reference and action items.

Voice Search Applications

Allows users to search using voice commands instead of typing.

Podcast Transcriptions

Transforms podcast audio into text for accessibility and indexing.

Customer Service Applications

Improves customer interaction with automated, voice-driven support options.

Voice Assistants

Powers speech-based help on devices, understanding and responding to user commands.

E-learning Tools

Enhances learning with spoken content for comprehension and accessibility.

Translation Applications

Translates spoken language in real-time to break down language barriers.

Navigation Systems

Guides users with voice directions for hands-free use while driving.

Financial Applications

Integrates voice for commands and information retrieval in finance software.

Our Expertise, Your Success

With Shaip’s expertise, benefit from our successful track record in TTS data collection, translation, and evaluation for conversational AI. Trust us to deliver exceptional results and maximize your voice-enabled systems.

You’ve finally found the right TTS Company

We offer AI training speech data in multiple native languages. We have over a decade of experience in sourcing, transcribing, and annotating customized, high-quality datasets for Fortune 500 companies.


We can source, scale, and deliver audio data from across the world in multiple languages and dialects based on your requirements.


We have the right expertise concerning accurate and unbiased data collection, transcription, and gold-standard annotation.


A network of 30,000+ qualified contributors, who can be quickly assigned data collection tasks to build AI training model & scale-up services.


We have a fully AI-based platform with proprietary tools & processes to leverage the workflow management 24*7 round the clock.


We adapt to changes in customer requirements quickly & help in accelerating AI development with quality speech data 5-10x faster than competition.


We give utmost importance to data security and privacy and are also certified to handle highly regulated sensitive data.

Reasons to choose Shaip as your Trustworthy AI Data Collection Partner



Dedicated and trained teams:

  • 30,000+ collaborators for Data Creation, Labeling & QA
  • Credentialed Project Management Team
  • Experienced Product Development Team
  • Talent Pool Sourcing & Onboarding Team


Highest process efficiency is assured with:

  • Robust 6 Sigma Stage-Gate Process
  • A dedicated team of 6 Sigma black belts – Key process owners & Quality compliance
  • Continuous Improvement & Feedback Loop


The patented platform offers benefits:

  • Web-based end-to-end platform
  • Impeccable Quality
  • Faster TAT
  • Seamless Delivery

Our Expertise

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Fortune 500 Clientele

Featured Clients

Empowering teams to build world-leading AI products.

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Text-to-speech (TTS) technology converts written text into spoken words. It enables computers to read text aloud. This technology is useful for accessibility, like helping visually impaired individuals, or for convenience, like reading out emails.

Text-to-speech works by analyzing text and converting it into speech. It involves two main processes: text analysis and sound generation. The technology understands text context and then creates natural speech using synthesized voices.

A TTS dataset contains text and corresponding audio recordings. These datasets are crucial for training Text-to-Speech systems. They include various speech samples and text scripts, helping TTS systems learn different speaking styles and accents.

A good TTS dataset has clear, diverse, and accurate recordings. Diversity in language, accent, and speaking style is important. Accuracy in matching text to speech and high-quality audio are also key factors for a good TTS dataset.

Examples include digital assistants like Siri or Google Assistant. Audiobooks and navigation systems use TTS too. Many websites and applications offer TTS features for reading content aloud, aiding users with visual impairments or reading difficulties.

Training datasets are essential for teaching TTS systems how to convert text into natural-sounding speech. They provide examples of various speaking styles, accents, and languages. This training helps TTS systems understand and replicate human speech accurately.