Building a Voice Assistant Model


Given the rise of voice technology, a leading global provider of audio equipment wanted to develop an automatic speech recognition (ASR) model to test in their products. Our client needed high-quality data to train their ASR system on everything from simple audio system commands like “repeat,” to more complex assistant requests like “find me a restaurant”, which could be spoken in a quiet home environment or in a moving vehicle with background noise. The system would need to understand variations of the same request – such as “make it louder” or “turn it up” – as well as accents and other nuances in people’s speech.