Converting speech to text manually is painstaking and time-consuming task unless, but necessary if you wish to perform any automated analysis of the text. To ease of this tedious task, engineers at GoVivace Inc. has developed a Speech to Text engine, an accurate and versatile product for converting voice to text a.k.a. Speech Transcription.
This Speech to Text API has been designed also for professional users needing to transcribe speech or audio on a real-time basis.
The speech to text software service allows you to speak or upload a pre-recorded audio and/or video files online to the server, accessed by a unique user key, which quickly converts voice to text. This audio to text service also provides timestamps and confidence scores for each word so that you can easily identify the audio in the original recording by searching for the particular word.
The Speech to Text API provides its users pre-installed grammars or custom grammars so that users can optimize them, for their use cases such as for IVR telephony or voice commands for different industry and enterprise services.
Through a websocket and REST API, the voice to text service can be integrated into applications for websites, desktops, androids, tablets, telephony(IVR), and enterprises such as customer contact centers. We provide you with the Software Developer Kit (SDK) library which will connect to our websocket based server with bidirectional streaming to use the software as a service(SaaS) or on-premise deployment.
Our focus is to deliver a simple, cost-effective way to transform Speech to Text by utilizing the latest audio transcription technology compatible with the widest array of devices.
The GoVivace’s Speech to Text software is available in both 32 and 64-bit versions for Linux, Windows, and Mac platforms. A minimum of 4GB of RAM and a 2.0GHz processor is recommended.
What can you use this for?
– To build applications that convert voicemail into an email
– To add new dimensions to the apps of the entertainment industry that accepts voice command
– To develop medical transcriptions
– To integrate with live dictation systems and e-learning applications
– To deploy an online speech recognition service
– To provide a uniform speech interface across websites, desktops, tablets, and androids
