LumenVox, a global leading provider of speech and voice technologies, announced the release of its next-generation Automatic Speech Recognition (ASR) engine coupled with voice-to-text transcription technology. The new engine outperforms its competitors by providing the most accurate speech-enabled customer experiences. It is built on the artificial intelligence (AI) and machine learning (ML) foundation.

Joe Hagan, chief product officer at LumenVox, said, “Companies are evolving rapidly and seeking more voice-enabled applications to deliver powerful customer experiences. The new LumenVox ASR engine, enables customers to meet the increased need for next-generation speech recognition services by offering new languages and dialects without the high cost of professional services.”

By leveraging the power of Deep Neural Networks (DNN) and its state-of-the-art method of speech recognition, LumenVox stands out from the rest. As a result of the new ASR engine, as well as allowing the addition of new languages and dialects, it also provides a set of modern tools that will enable a more comprehensive language model to cater to a greater number of users.

A large number of AI-driven ASR engines are currently available on the market today, but LumenVox delivers industry-leading accuracy and enables customers to:

  • Protected speech technology: With LumenVox’s end-to-end Deep Neural Network (DNN) technology, a single language model lets customers add more languages and non-native speaking accents with unprecedented accuracy to serve a larger client base.
  • Migration of legacy speech applications: LumenVox Speech Tuner allows customers to migrate over 80% of grammatical structures and confidence thresholds from legacy to LumenVox ASR with relative ease.
  • Providing seamless customer service: LumenVox’s ASR engine is able to convert speech into text in real-time, ensuring high availability and superior transcription accuracy.
  • Deployment flexibility: LumenVox offers customers complete freedom when deploying their speech applications, whether on-premises, in the cloud, or in a hybrid environment.