Automated Speech Recognizer (ASR)
Powering Speech Enabled Solutions
Integrated in 25+ Voice Platforms
Developers can write applications using our application programming interface (API) or a standards-based solution like media resource control protocol (MRCP).
Natural Speech Interface
The LumenVox Speech Recognizer supports Natural Language Understanding (NLU) applications through development of Statistical Language Models (SLM).
Available in 32- and 64-bit versions of Linux and Windows, the LumenVox Speech Recognizer powers speech solutions and platforms deployed in Enterprise and SMB environments worldwide.
Develop Innovative & Dynamic Speech Enabled Solutions
In addition to the languages listed, LumenVox Automated Speech Recognizer also supports the W3C’s Semantic Interpretation for Speech Recognition (SISR) recommendation, the Speech Recognition Grammar Specification (SRGS), and Voice Extensible Markup Language (VXML). Developers that are familiar with industry standards like these will be able to write applications quickly and effectively.
Australian / New Zealand English
Colombian / Latin American Spanish
Mexican / North American Spanish
How Speech Recognition Works
Speech Engines Use This Process to Figure out What a Speaker Said:
The engine loads a list of words to be recognized. This list of words is called a grammar.
Audio from a speaker is captured by a microphone or telephone. This audio is turned into a waveform, a mathematical representation of sound.
The engine looks at features — distinct characteristics of sound — derived from the waveform and compares them with its own acoustic model. The engine searches its acoustic space, using the grammar to guide this search.
It then determines which words in the grammar the audio most closely matches and returns a result.
Whether you’re looking to maximize your return on investment, improve the effectiveness of your speech-enabled solution, or enhance customer experience, our additional offerings will help you hit the mark.