AI-powered systems that operate with voice such as virtual assistants require great amounts of high-quality voice or speech data to perform optimally and elevate the customer experience. Quality in speech data is tightly related to the diversity of accents and demographics of the community that provides the data. That’s where the TAUS Human Language Project Platform can help.
Our client is one of the world’s leading multinational technology companies. They were looking to improve voice and speech-to-text-based applications in the voice recognition of the speakers using a local accent instead of a ‘standard’ language pronunciation.
Enabling 15% Increase in Number of Perfect Translations for ING Hubs poland
ING Hubs Poland found out that training with TAUS datasets improves the number of perfect translations by 15% and with 95% precision.
Domain-Specific Training Data Generation for SYSTRAN
After the training with TAUS datasets in the pandemic domain, the SYSTRAN engines improved on average by 18% across all twelve language pairs compared to the baseline engines.
Customization of Amazon Active Custom Translate with TAUS Data
The customization of Amazon Translate with TAUS Data always improved the BLEU score measured on the test sets by more than 6 BLEU points on average and 2 BLEU points at a minimum