Custom Speech Data Collection
Get fit-for-purpose speech datasets for your Machine Learning algorithm in 120+ languages
All advanced instant messengers and voice-enabled applications require advanced level of natural language processing (NLP) to infuse their linguistic interfaces. Hence, the computer or machines need to understand and learn human languages exactly the way we do.
The practice of collecting speech data from real-world environment and scenarios such as capturing various regional dialects, speech patterns, accents, cadence, and other speech distinctions and behaviors are the foundation step on which machine learning (ML) algorithm are designed, and further advancements are happening.
Ekit.AI not only offer offers end-to-end speech data collection solutions but also stand shoulder to shoulder with the clients to ensure the specification meets the result.
We are equipped to undertake the project of any length from in-field data collection, offline data collection, transcription, and semantic analysis to ensure your voice-enabled technology is ready for a diverse and multilingual audience.
Our custom-built multilingual data management platform allows our clients to access their data and the associated metadata in no time via an easy-to-use API.