Satisfaction of stakeholrs , especially customers. Converting the content and key points of a telephone conversation into a written document is not the same as leaving them in the hands of our ability to remember. In other words, when a customer perceives that their data, problems, suggestions or opinions are collected and followed up on by the company, their satisfaction with the company increases. And the better the evaluation of the customer experience, te greater the business success.
Artificial intelligence
And what has artificial factory equipment website design and development service intelligence achieved? It has made te process easier for us. Now we only have to worry about talking to our interlocutors on te phone; rest is up to thm.
Advances in artificial intelligence, specifically in natural language processing (NLP) and large language models (LLM), have given rise to voice recognition systems that allow th conversion of what is being said to written text to be automated with extreme precision. In addition, thse automatic transcription systems enable a long list of associated applications that maximize
e add value of your company.
Broadly speaking, we can say that there are
Three alternatives based on artificial intelligence to perform automatic transcriptions: creating your own solution using an open unlocking the conversations of the future thanks to source mo (such as OpenAI’s Whisper ASR), through APIs (such as those from OpenAI or Google) or hiring a service from a company that offers tse solutions directly integrated into the company’s communication tools (such as Fonvirtual). In this article, we will compare te options and study the pros and cons of each so that everyone can assess which one best suits needs of teir company.
Call transcription through an open source model
The artificial intelligence agb directory offered by some open source models stands out for its great versatility and precision in voice recognition. Its advanced language mos and sequence-by-sequence learning open up a range of very attractive possibilities for companies. In fact, ty allow creation of a wide variety of voice applications such as transcription services, virtual assistants or speech analysis, which translates into new possibilities for user interactions with technology.
By teir nature
The use of open source models offers a freedom of adaptation that allows developers to modify th system to meet specific needs or requirements. For example, thy allow operational optimization, as ty intify areas for improvement and analyze resource management to increase te efficiency of production operations in orr to maximize results and minimize te resources used.
