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Collect, Annotate, and Transcribe hours of audio data in multiple languages to train virtual / digital assistants.
Empowering teams to build world-leading AI products.
The lack of accuracy in conversational AI chatbots and virtual assistants is a major challenge that affects user experience in the conversational AI market. The solution? Data. Not just any data. But highly accurate and quality data that Shaip delivers to drive success for AI projects.
Healthcare:
According to a study, by 2026, chatbots could help the U.S. healthcare economy save approximately $150 billion annually.
Insurance:
32% of consumers require assistance in selecting an insurance policy since the online purchasing process can be very difficult and confusing.
The global conversational AI market is expected to grow from USD 4.8 billion in 2020 to USD 13.9 billion by 2025, at a CAGR of 21.9% during the forecast period
Conversational Artificial Intelligence or Chatbots or Virtual Assistants are only as smart as the technology and data behind them. The lack of accuracy in chatbots / virtual assistants is a major challenge today. The solution? Highly accurate and quality data that Shaip delivers to drive success for your AI projects.
At Shaip, we offer you a broad set of diversified audio dataset for Natural Language Processing (NLP) that mimic conversations with real people to bring your Artificial Intelligence (AI) to life.With our deep understanding of the Multilingual Conversational AI platform, we help you build AI-enabled speech models, with utmost precision with structured datasets in multiple languages from across the globe that understands intent, maintains context, and automates simple tasks across many languages. We offer multi-lingual audio collection, audio transcription, and audio annotation services based on your requirement, while fully customizing desired intent, utterances, and demographic distribution
Scripted Speech Collection
Spontaneous Speech collection
Utterance Collection/ Wake-up Words
Automated Speech Recognition (ASR)
Transcreation
Text-to-speech (TTS)
Hours of audio data in 150+ languages – Sourced, Transcribed & Annotated
40k+ hours of Speech Data in over 50+ languages & dialects from 55+ industry domains like BFSI, Retail, Telecom, etc.
Collect custom audio and speech data (Wake-up words, Utterances, Multi-speaker conversation, Call Center conversation, IVR data) in 150+ languages
Cost effective audio transcription / audio annotation through a strong workforce of 30,000 collaborators with guaranteed TAT, accuracy, and savings
Trains Voice Assistants in 40+ Languages for Global Reach
Shaip provided digital assistant training in 40+ languages for a major cloud-based voice service provider used with voice assistants. They required a natural voice experience so users in different countries around the world would have intuitive, natural interactions with this technology.
Problem: Acquire 20,000+ hours of unbiased data across 40 languages
Solution: 3,000+ linguists delivered quality audio/ transcripts within 30 weeks
Result: Highly trained Digital assistant models that is able to understand multiple languages
Utterances to build Multi-lingual digital assistants
Not all customers use the same words while interacting with voice assistants. Voice applications must be trained on spontaneous speech data. E.g., “Where is the closest hospital located?” “Find a hospital near me” or “Is there a hospital nearby?” all indicate the same search intent but are phrased differently.
Problem: Acquire 22,250+ hours of unbiased data across 13 languages
Solution: 7M+ Audio Utterances collected, transcribed, and delivered within 28 weeks
Result: Highly trained speech recognition model that is able to understand multiple languages
Ready to start collecting Conversational AI Data? Tell us more. We can help your ML models with Multilingual Audio Collection & Annotation Services
Personal assistants taking dictation, transcribing meetings & emailing notes to participants, book meeting room, etc.
In-store shopping support for customers to locate products provides information such as price, product availability, etc.
Concierge services at hotels to enable check-in or for other information & services
Automate customer calls
enable outgoing calls to
customers.
Integration of voice into mobile apps to provide 'Voice + Visuals', reduce clicks & page visits eventually better experience
Support surgeons in operating
rooms by taking notes, maintaining & fetching patient's clinical data
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.
We offer different conversational AI datasets as below:
We have worked with the world’s leading brands to build their advanced conversational AI solutions to enhance customer service
Generated Chatbot Dataset consisting of 10,000+ hours of audio conversation & transcription in multiple languages to build 24*7 live chatbot
Improved accuracy of automatic speech recognition using labeled audio data, transcription, pronunciation, lexicons from a diverse set of speakers.
The chatbot you conversed with runs on an advanced conversational AI system that is trained, tested, and built using tons of speech recognition datasets.
The Conversational AI 2022 infographics talk about what is Conversational AI, its evolution, types, Conversational AI Market by Region, Use Cases, challenges, etc.
Voice assistants might be these cool, predominantly female voices that respond to your requests to find the nearest restaurant or the shortest route to the mall.
Contact us now to learn how we can collect a custom data set for your unique AI solution.
Conversational artificial intelligence (AI) powers interactions between humans and machines, simulating human conversation with remarkable accuracy. Utilizing vast data sets, machine learning (ML), and natural language processing (NLP), conversational AI can mimic human interactions, recognizing and interpreting speech and text inputs and even translating meanings across languages. This technology is the backbone of chatbots, virtual assistants, and other interactive applications that facilitate human-like conversations. Examples of these are Amazon Alexa, Apple’s Siri, and Google Home.
Conversational AI understands, reacts, and learns from every encounter using a variety of technologies such as Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Machine Learning (ML).
Conversational AI blends NLP with ML in a synergistic manner. NLP processes are integrated into a continuous feedback loop with ML processes, enhancing the AI algorithms. This enables it to understand, process, and respond to human language in a natural and intuitive way.
NLP involves four critical steps:
The obstacles to the evolution of Conversational AI revolve around 1) Detecting human emotions 2) Learning new languages and dialects 3) Identifying the right voice in a crowded environment 4) Security and Privacy to hide sensitive personal info.
It significantly reduce costs and increase operational efficiency by automating tasks that were traditionally handled by humans. It not only minimizes human errors but also boosts productivity. It also improves customer experiences by offering personalized, engaging interactions around the clock 24*7, leading to higher customer satisfaction and engagement.
The customer experience can be improved by setting a digital/virtual assistant that automatically handles basic inbound queries. Physical agents can focus on more challenging tasks.
