Note that the default speech-to-text web service described here is suitable for general usage. Larger corporate or government clients may benefit from a custom tailored audio indexing solution with customised domain models and different hosting options. Dev-Audio can offer customised corporate systems working with a range of audio indexing or transcription partners, including Quorate Technology and Koemei. Please contact us for further details on custom corporate audio indexing solutions.

Speech to Text Conversion in Microcone Recorder has been designed as a powerful tool for automatically tagging your meetings, facilitating search and retrieval from a large collection of meeting recordings, and helping you quickly find the key sound bite you want to review. While this feature uses the state-of-the-art in speech recognition technology, as a fully automatic service it will not match the accuracy of an experienced human transcriptionist. Whether it is being done by a person or a machine, recognising speech in group meetings is a significantly more complex task than single voice dictation due to a range of factors. For these reasons, a reasonable expectation is that a fully automated transcription will be 70%-80% correct at a word level, on average.

While meetings are conversational and unconstrained in nature, you should understand that the Speech to Text Conversion will give best results if you pronounce as clearly as possible and try to speak in sentences with some grammatical structure. Accuracy will also improve over time as the service learns the voices of people in your recordings.