Much more than Speech Recognition

Our Natural Language Interaction technology, delivered through our Teneo Platform, isn't just a "voice recognition" or "automatic speech recognition" tool, though it can do that if you want (so you speak some words and it turns them into text, and sends them as an email or text message).

Automatic Speech Recognition (ASR) - also known as automatic speech recognition, computer speech recognition, speech to text - converts spoken words to text. It is often used in applications such as voice dialing and dictation tools.

But ASR doesn't have humanlike intelligence. It can't qualify a question by asking for more information. It can't remember. It can't search other information sources for information. In summary, it's not able to deliver intelligent solutions.

Teneo on the other hand allows you to ask complex questions in free-format, natural language and it will learn, reason, understand, and then apply this knowledge to act on what has been said. Teneo therefore needs to understand both the context and the wider meaning of the conversation.

So you can ask it "What's the weather going to be like tomorrow in Barcelona?" and Teneo will come back with the forecast for Barcelona. You can ask "What's the leg room on CarryMe's planes?" and Teneo would further qualify by asking "Are you flying business or economy?" before responding with the correct answer.

It does this using Natural Language Interaction.

So when you ask a question of Teneo or instruct it to do something, it uses ASRto turn the speech into a textual input that it processes in three steps. First it analyzes your query using powerful linguistic understanding libraries that understand and derive the meaning. It then interprets this using advanced linguistic and business rules that simulate ‘intelligent thinking', allowing it to reason like a human and determine the most appropriate action. Finally it performs the necessary action - for example give a response or open a webpage - in the most appropriate manner.

At the other end of the process is ensuring the response generated by the Natural Language Interaction engine is spoken in a clear, humanlike voice. Text-to-speech (TTS) is used to achieve this.

Read more about how Natural Language Interaction works.