We are pleased to announce that Voci's Speech-to-Text API technology has been integrated into Eden AI API.
Voci Technologies Inc, a subsidiary of the Medallia group, is a company that specializes in speech-to-text transcription and voice analytics solutions. The company provides advanced software and technology that can convert spoken language into written text with high accuracy.
Voci's analysis features aim to enhance accuracy and usability in their speech-to-text technology. With Speaker Separation (Diarization), customer and agent voices are automatically separated, enabling independent analysis and deeper insights. The Emotional Intelligence feature combines acoustic emotion and sentiment scores to accurately determine the overall sentiment of conversations, whether it's positive, negative, or neutral. Additional features include Age ID for estimating speaker age, and Call Analysis metrics for valuable insights on call quality and performance, including words spoken, speaker turns, speech time, and substitutions. These features empower businesses to gain meaningful insights from conversations and optimize their performance.
Eden AI offers Voci Speech-to-Text solutions on its platform amongst several other technologies. We want our users to have access to multiple AI engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs.
There are many reasons for using multiple AI APIs :
You need to set up an AI API that is requested if and only if the main AI API does not perform well (or is down). You can use the confidence score returned or other methods to check provider accuracy.
After the testing phase, you will be able to build a mapping of AI vendors' performance that depends on the criteria that you chose. Each data that you need to process will be then sent to the best API.
This method allows you to choose the cheapest provider that performs well for your data. Let's imagine that you choose Google Cloud API for customer "A" because they all perform well and this is the cheapest. You will then choose Microsoft Azure for customer "B", a more expensive API but Google performances are not satisfying for customer "B". (this is a random example)
This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because AI APIs will validate and invalidate each other for each piece of data.
We had the chance to talk to Yasir Bugrara, Voci's Head of Gloabal Sales, who agreed to answer some of our questions:
Voci was founded in 2011 and was the first enterprise-grade speech recognition engine to be optimized for GPUs (Graphical Processing Units) to transcribe audio in real-time.
Voci’s speech recognition engine (ASR) performed so well, and so fast, that Voci found multiple use cases beyond real-time conversational transcription like post-call audio in contact centers to power and democratize speech analytics solutions. Voci reduced the computation footprint by 40 times over traditional ASR technologies and has consistently improved its accuracy for the last 11 years to be the most metadata-rich speech-to-text platform for contact centers.
Voci has recently introduced a number of new international languages, metadata, and accuracy improvements to deliver the most comprehensive speech-to-text technology on the market. Voci provides speech-to-text, acoustic emotion, sentiment, redaction, gender, music detection, and more with every utterance, in real-time and batch.
Voci’s customers include some of the largest and most respected CCaaS platforms, CX Analytics, and Conversational AI and Agent Assist technologies on the market. Companies like 8x8, Calabrio, XSELL Technologies, and Five9 leverage Voci as a core speech recognition technology to power their contact center solutions for real-time agent assistance, conversational AI, and post-call speech analytics.
The technological landscape is constantly changing. Eden AI has developed an innovative platform that allows customers to research, evaluate, and access the best ASR/STT technology partners in the world in order to accelerate growth, lower costs, increase technology expertise, gain access to cutting-edge technology, and boost innovation. Medallia believes that combining and sharing resources with Eden AI is a highly effective way to move both parties forward on the path to success and innovation within our ecosystem.
You'll need some documentation to use Voci's OCR technologies on Eden AI. Then call the API:
Eden AI is the future of AI usage in companies. Our platform not only allows you to call multiple AI APIs but also gives you :
You can see Eden AI documentation here.