Macgence provided digital assistant training in 40+ languages for a major cloud-based voice service provider used with virtual assistants.
Table of Contents
Challenge
We have acquired over 13,000 hours of unbiased data, including children’s data, across 40+ languages.
Execution
In addition, we have sourced 13,000+ hours of PI-normalized data within 8 weeks, achieving 95%+ accuracy.
Impact
Our highly trained digital assistant models are capable of understanding multiple languages and catering to different age groups.
Overview
- Consequently, chatbots and digital assistants have become critical stakeholders in today’s digital landscape, which has been fueled by multilingual conversational AI. However, the effectiveness and intelligence of these virtual assistants are solely dependent on the technology and data used to train them. Thus, data plays a pivotal role in breathing life into your AI systems, enabling automation, streamlining activities, boosting enterprise productivity, and driving customer engagement. Let’s explore how data fuels the capabilities of Conversational AI.
Challenges
Notably, the lack of quality training data related to conversational AI has been a bottleneck in its progress and adoption.
- We can help you acquire hours of conversational audio data in different languages and age groups on a range of topics and various media domains, utilizing 8kHz and 16kHz sampling rates.
- Ensure diversity in datasets – domains, speaker’s demographics, background, etc. to train Conversational AI in an unbiased way.
- Acquiring hours of conversational audio data from Children is a complicated process due to their age factor, parental control and availability.
Solution
- 8 kHz Data Acquired 9,900+ hours of unbiased/unscripted quality audio data (Call Center / General Conversation) on a range of 17 general topics i.e. Finance, Insurance, Retail, Telecom, Hospitality, Legal, Family, Friends, Culture etc.
- Specifically, we have acquired 10,800+ hours of high-quality audio data at 16 kHz from a wide variety of media domains, including arts and culture, beauty and lifestyles, biography, cars and motors, etc. Moreover, this data comes from a diverse set of speakers with respect to their accents, gender, age, and demographics.
- Total Data Acquired over 20,600+ hours of high-quality audio data across 40 different languages in multiple dialects from over 3,000+ experienced and credentialed linguists across the world, so as to train the Conversational AI agent in an unbiased way.
Outcome
- The high-quality audio data empowered the client to train its Conversational AI on a wide variety of topics, ranging from Telecom, Hospitality to Legal in 40 different languages and dialects to mimic human conversation. The benefits that the client derived from the platform were: • It can seamlessly interact with humans in multiple languages.
Applications of Multilingual Conversational AI
Customer Support and Service
Our solutions enable complete automation of chat support, call support, and more.
Healthcare
Furthermore, we apply NLP to conversational AI models to automate medical transcription and reports.
Financial
Additionally, conversational AI can assist customers with banking transactions, account inquiries, and financial advice.
Automotive
Moreover, it can improve the driving experience by assisting in navigation, controlling car systems, and providing real-time information using conversational AI.
The Macgence Way
TAT
Compliant high-quality data is available at your disposal, offering the benefits of customization and quick delivery.
QUALITY
Our dataset goes through rigorous 2-level quality checks before delivery
COMPLIANCE
We adhere to both the mandatory compliance requirements of HIPAA and GDPR.
ACCURACY
Ultimately, we provide ~98% accuracy across different annotation types and model datasets.
NO. OF USE CASES SOLVED
Lastly, we have experience across a diverse range of use cases.