Digits micro-model for accurate and secure transactions

Automatic Speech Recognition (ASR) systems are used in the financial domain to enhance the caller experience by enabling natural language understanding and facilitating efficient and intuitive interactions. Increasing use of ASR systems requires that such systems exhibit very low error rates. The predominant ASR models to collect numeric data are large, general-purpose commercial models -- Google Speech-to-text (STT), or Amazon Transcribe -- or open source (OpenAI's Whisper). Such ASR models are trained on hundreds of thousands of hours of audio …

asr automatic speech recognition commercial cs.cl cs.lg cs.sd data digits domain enabling error experience financial general interactions language language understanding low micro natural natural language recognition speech speech recognition systems transactions understanding