Text-to-speech (TTS) technologies bridge human interaction and digital convenience. This section explores TTS use cases, illustrating its transformative role across industries.
Speciality
Experience unparalleled clarity and fluency in every interaction with our expertly curated TTS data sets, tailored for global languages.
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.
From studio-grade recordings to everyday scenarios, our TTS technology captures the essence of languages and dialects worldwide. Our TTS Solutions include:
Capturing the world's voices, we gather TTS data across languages, accents, and dialects to meet diverse needs.
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.
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:
Breaks down raw text into understandable elements for the system.
Transforms irregular words and numbers into spoken equivalents (like "1995" to "nineteen ninety-five").
Distinguishes separate words, which varies in complexity across languages.
Identifies parts of speech, crucial for correct pronunciation in varying contexts.
Adjusts rhythm and intonation to make speech sound natural.
Maps written letters to spoken sounds, essential for accurate speech synthesis.
Select from a rich tapestry of TTS voice samples, perfect for many applications and industries.
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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.
Voice Assistants
Powers speech-based help on devices, understanding and responding to user commands.
Meeting Transcriptions
Transcribes spoken dialogue in meetings to text for easy reference and action items.
E-learning Tools
Enhances learning with spoken content for comprehension and accessibility.
Voice Search Applications
Allows users to search using voice commands instead of typing.
Translation Applications
Translates spoken language in real-time to break down language barriers.
Podcast Transcriptions
Transforms podcast audio into text for accessibility and indexing.
Navigation Systems
Guides users with voice directions for hands-free use while driving.
Customer Service Applications
Improves customer interaction with automated, voice-driven support options.
Financial Applications
Integrates voice for commands and information retrieval in finance software.
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.
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.
Dedicated and trained teams:
Highest process efficiency is assured with:
The patented platform offers benefits:
Empowering teams to build world-leading AI products.
Contact us now to learn how we can collect a custom data set for your unique AI solution.
TTS technology converts written text into spoken words. It works by analyzing and processing text (text normalization, word segmentation, prosody prediction) and generating human-like speech using synthesized voices.
TTS datasets contain paired text and audio recordings, which are essential for training AI models to generate fluent and natural-sounding speech. They ensure the system learns different accents, tones, and speaking styles.
TTS is widely used in voice assistants, e-learning tools, call center transcriptions, navigation systems, podcast transcriptions, financial applications, and customer service automation.
A quality TTS dataset includes clear, diverse, and accurate audio recordings. It should cover a variety of accents, dialects, tones, and speaking styles to ensure inclusivity and naturalness.
Annotated datasets provide precise labels for phonemes, prosody, and intonation, helping TTS systems learn the nuances of speech patterns and improving their accuracy and naturalness.
Human-like TTS systems use advanced prosody prediction (intonation and rhythm), accurate grapheme-to-phoneme conversion, and diverse training datasets to replicate natural speech patterns.
Challenges include handling diverse languages and accents, accurately predicting prosody, maintaining clarity across various speech contexts, and avoiding robotic-sounding output.
Yes, with diverse datasets and advanced training, TTS systems can generate accurate and natural speech in multiple languages, accents, and dialects.
TTS systems predict prosody by analyzing the text’s context, structure, and punctuation, adjusting speech rhythm and intonation to make it sound natural.
Timelines vary based on project complexity, language requirements, and data volume. However, with efficient workflows, high-quality datasets can be delivered within agreed deadlines.
Industries like healthcare, education, customer service, eCommerce, and automotive benefit from TTS by improving accessibility, automating tasks, and enhancing user experiences.
Shaip offers scalable solutions, global language support, high-quality dataset annotation, and compliance with data privacy regulations like GDPR and HIPAA.
Data collection gathers diverse audio samples, and annotation labels features like intonation, pronunciation, and timing to train TTS models for natural-sounding speech.
Costs depend on project requirements such as language diversity, dataset size, and customization. Contact Shaip for a tailored quote.
Shaip ensures quality through multi-level validation, combining AI tools and expert human oversight to deliver accurate, diverse, and high-quality TTS datasets.