Speech-to-Text Solution

Quantilus developed the product based on automatic speech recognition, machine translation, and Natural Language Processing (NLP). The product can be deployed on the cloud, on-premise, and hybrid models. The Arabic speech recognition models have leading accuracy across the board. We also built speech-to-text features such as speaker detection, language switching, time stamps, and diarization.

The solution was the winner of the 2021 GITEX Future Stars’ Supernova Challenge held in Dubai and was named the Best AI innovator for its cutting-edge Arabic speech and voice technology. It won from over 700 entries.

The solution can provide highly trained and tailored transcriptions to the clients’ customers with greater than 90% accuracy levels. By pushing our models to perform under complex, real-life conditions with background noise, multiple speakers, and diverse accents, the clients’ customers achieve vastly improved accuracy rates without compromising the transcription speed.

The clients’ customers use built-in reporting to look for keywords and phrases in collected audio data rather than a faulty outputted transcript. This enables them to pinpoint specific timestamps and gather helpful insight seamlessly.