Deepgram launches improved AI-based voice transcription for enterprises
Accurate voice transcription is important for enterprises, whether it's to ensure appropriate responses or create accurate records.
However some situations make this challenging to achieve -- where there are multiple speakers or noisy backgrounds, for example. With the launch today of Nova-3, its most advanced speech-to-text (STT) model to date, Deepgram is looking to offer greater accuracy along with self-service customization to tailor results for industry-specific needs.
Understanding how all businesses can benefit from voice analytics
Voice and speech analytics refers to the process of analyzing recorded conversations such as phone calls to gain insights into customer behavior and call quality, often utilizing AI by employing a Natural Language Processing (NLP) engine that uses context and emotional clues to determine more accurately what is being said.
In utilizing voice analytics solutions, businesses are now able to spot keywords and phrases, as well as detect sentiment and emotional context using pitch, pacing, and language clues to observe whether a conversation is going in the right direction or if it’s going downhill. By evaluating the tone of a customer’s voice, businesses can assess whether their customers are satisfied, annoyed, or upset. 82 percent of customers now consider no longer engaging with a business if they feel they have had a poor customer experience, so understanding potential issues before they arise may be the single most valuable thing a business can do to retain customers.